Scopely is looking for a Lead Data Analyst to join our Finance team in Barcelona on a hybrid basis.

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. 

Show us the money! As the Finance team, we’re number crunchers with top-notch analytical and reporting skills. As a shared service, we get to work with all of Scopely's talented studios.

What You Will Do 

As a Lead Analytics Engineer, Finance, you will own and improve core finance analytics workflows that support monthly close, revenue reporting, audit support, and accounting analysis. You will partner closely with Accounting, Revenue, Game Analytics, Platform Analytics, and Engineering to build scalable data processes, investigate issues, and translate finance questions into durable data solutions.

• Lead recurring finance analytics workflows that support monthly close, revenue reporting, and accounting analysis.
• Own and review critical digital revenue reporting outputs and investigate issues related to data accuracy, completeness, and timing.
• Build, maintain, and improve SQL logic, validation checks, reporting workflows, and related finance data processes.
• Partner with Revenue Accounting, Game Analytics, and Platform Analytics teams to support item-based revenue recognition analyses, including consumable and durable logic, bundle allocations, paid versus earned currency treatment, virtual currency holding periods, and related user-behavior analyses.
• Monitor and maintain financial data pipelines, troubleshoot exceptions, and drive resolution when data is missing, delayed, or inconsistent.
• Design scalable controls, reconciliations, and documentation so recurring workflows are deterministic, auditable, and easier to hand off.
• Support quarterly and ad hoc finance analyses on purchases, player activity, and revenue trends that inform accounting conclusions and business decisions.
• Partner with Finance stakeholders to translate business questions into repeatable systems and durable reporting solutions instead of one-time analyses.
• Support audit requests by preparing evidence, explaining data logic, and coordinating with auditors and internal partners on finance systems and controls.
• Identify opportunities to automate manual finance processes and improve the scalability of the team’s reporting and operating model.
• Help define best practices for finance data tooling, runbooks, and documentation.

What We’re Looking For 

• Bachelor’s degree in Analytics, Statistics, Finance, Accounting, Economics, Computer Science, or another relevant quantitative field.
• 6+ years of experience in analytics, finance data, business operations, or related roles with ownership of business-critical workflows.
• Advanced SQL skills and proficiency in Python or another programming language used for data analysis, automation, and workflow support.
• Strong Excel / Google Sheets skills.
• Experience with cloud data warehouses and data platforms such as BigQuery, Snowflake, Redshift, AWS, Azure, or GCP-based workflows.
• Experience supporting finance, accounting, revenue reporting, monthly close, or audit-related data work.
• Strong understanding of reconciliation, controls, data quality, and process documentation.
• Ability to work cross-functionally and communicate clearly with both technical and non-technical stakeholders.
• Strong written and verbal communication skills, especially when explaining technical findings, risks, and tradeoffs to Finance partners.

Bonus Points 

• Experience in gaming, digital products, or revenue accounting.
• Experience building workflow automation, reusable analytical tooling, or documented runbooks.
• Experience supporting audit requests, finance systems controls, or operational process design.
• Experience mentoring analysts or informally leading cross-functional workstreams

Please submit your CV in English.

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

This role will have access to sensitive and/or confidential employee or customer personally identifiable information (PII) and/or Company financial information, and therefore will be subject to background checks upon receiving a conditional offer of employment.

We are seeking a dynamic and experienced Senior Solutions Engineer to join our team at Boomi. You will play a crucial role in supporting enterprise accounts, managing relationships with customers' technical staff, and providing exceptional solutions tailored to meet their needs.

Your expertise will contribute to verifying operability, articulating value propositions, and qualifying sales opportunities to drive success for both the customer and Boomi.

Location: Spain, Barcelona, Hybrid or Madrid, Remote

About Boomi:

Boomi is the leading data activation company, empowering organizations to connect their applications and data seamlessly. We are looking for a talented Senior Solutions Engineer to join our EMEA organization and help drive our growth.

What you’ll do:

• Gain access to and manage relationships with customer technical staff functions to understand their requirements and challenges effectively.

• Qualify sales opportunities by understanding customer technical requirements, decision-making processes, and underlying demand drivers.

• Uncover and articulate the business value of Boomi's Enterprise Platform

• Create compelling presentations that demonstrate to technical as well as business decision-makers how Boomi effectively addresses pain points.

• Provide technical expertise and guidance throughout the sales process, ensuring a smooth transition from presales to implementation.

• Understand the competitive landscape and position Boomi's solutions effectively against competitors.

• Collaborate with sales teams, solution architects, leaders, and cross-functional technical groups to ensure a consistent and effective approach to solution application and development.

• Stay updated on industry trends, the competitive landscape, and emerging technologies relevant to Boomi's offerings (Agentic AI, iPaaS, APIM, B2B/EDI, Business Process Automation, Managed File Transfer,  Data Integration and Data Governance).

The Experience you bring:

• Excellent written and verbal communication skills in English and Spanish.

• A Bachelor’s Degree in Engineering, Computer Science, Applied Science, Business System Administration, or equivalent experience

• Extensive client-facing experience with a strong technical aptitude and presentation skill and/or Experience in field sales or customer consulting experience is preferred.

• Working experience with a global system integrator is a big plus.

• Track record of successful projects in Enterprise accounts.

• Experience in field sales or customer consulting experience is preferred. Working experience with a global system integrator is a big plus.

• Good understanding of integration technologies with a focus on APIs, data management, Agentic development or Event Driven Architectures.

• Hands-on experience with integration development or data synchronization platforms such as API Management, Master Data Management or related technology platforms is a significant advantage.

• Competitive knowledge is a big plus

• Experience to carry quota and provide support to sales planning activities such as forecasting, account planning and go-to-market strategies

• Integration experience with enterprise applications such as SAP, Oracle EBS, Fusion, Netsuite, MS Dynamics, Business Central, BizTalk, ServiceNow, Salesforce, IFS or others is also an advantage.

• Experience with any EDA platform: Solace, Kafka, ActiveMQ, RabbitMQ, Google Pub/Sub, Amazon SNS is a plus

• Experience with any Data platform like: Snowflake, Databricks, Redshift, BigQueries, Microsoft Fabric, Informatica, Talend, Tibco is a plus

• Experience with Integration Platforms (iPaaS) like Mulesoft, SAP BTP, Tibco, IBM webmethods, Workato is a plus

• Experience with AI platform like Amazon Bedrock, Microsoft Foundry, Google Vertex AI, IBM watsonx.ai, or other platforms is a plus

• Strong business acumen with the ability to understand, design, and validate system architectures that are relevant in modern enterprise environments.

• Ability to uncover customer needs and articulate the business value of solutions effectively.

• Ability to prioritize tasks and foster effective communication in global cross-functional teams.

• Ability to take ownership in highly professional teams.

• Strong presentation skills, active listening and comfort presenting to a wide variety of audiences, both in terms of responsibility and technical acumen.

• A natural passion for creative problem-solving and a curiosity to understand how things work.

• Ability to switch between working independently or collaboratively for extended periods.

• Understand the importance of continuous learning while also being a coach and mentor to other team members.

If you are passionate about technology, thrive in a customer-facing role, and possess the skills and experience outlined above, we encourage you to apply for this exciting opportunity to be part of the Boomi team.

#LI-LM1

Customer experience

Customer experience at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions.

Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We are looking for a Partner Solutions Architect to serve as the technical interface between Nebius and our strategic technology partners, ranging from data platforms and MLOps vendors to AI frameworks and ISVs that build on GPU infrastructure. 

This is a hands-on engineering and integration role. You will design and develop integrated solutions, build reference implementations, enable partner engineering teams, and ensure joint customers succeed with combined offerings. You will influence Nebius’ product roadmap and drive deep technical collaboration across partner ecosystems.

You’re welcome to work from our office in Amsterdam or remotely from any EU country.

Your responsibilities will include: 

• Own the technical relationship with strategic partners as the primary interface to Nebius engineering and product
• Design and architect high-impact integration solutions, delivering clear joint customer value
• Build and maintain reference implementations and production-grade integrations
• Define enterprise-ready integration patterns (networking, security, compliance, observability)
• Translate partner and customer feedback into actionable product and roadmap requirements
• Enable partner teams through technical documentation, training, and demo environments
• Provide technical leadership in joint customer deployments, architecture reviews, and complex troubleshooting

We expect you to have: 

• 5+ years in solutions architecture, partner engineering, or technical pre-sales at cloud or data platform companies
• Strong expertise in cloud infrastructure
• Hands-on experience with GPU-accelerated AI/ML workflows (training, inference, MLOps)
• Proven background in integration architecture (API design, data pipelines, security, observability)
• Experience with Python and IaC tools
• Excellent communication skills with the ability to engage technical and non-technical stakeholders

It will be an added bonus if you have: 

• Track record of building or scaling partner technical programs or ecosystems
• Experience working with or at Snowflake, Databricks, AWS, Azure, or GCP
• Background in ML lifecycle (training pipelines, fine-tuning, inference optimization, RAG

This is a remote opportunity and we would be interested in applicants living in Ireland time zones only at this time. 

Senior Software Engineer - Grafana Databases, Managed Services

The Opportunity: 

The Managed Services team is a newly formed squad within the Databases department. It owns and operates shared, production-critical infrastructure that powers Grafana Cloud’s next-generation database products (Mimir, Loki, and Tempo). Today, this includes operating 100+ WarpStream clusters across multiple cloud providers and regions, with continued growth anticipated for the future. WarpStream acts as the streaming backbone for ingestion and read/write decoupling across databases. It sits directly on the hot path for metrics, logs, and traces, handling high-throughput, multi-consumer workloads at massive scale.

In addition to streaming infrastructure, the team works closely with high-volume analytical and storage systems that power query-heavy and aggregation-heavy workloads, where latency, compression behavior, storage layout, and scaling characteristics matter deeply.

What You’ll Be Doing:

As a Senior Engineer on Managed Services, you will take ownership of running these systems in production. This involves:

• Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure
• Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.)
• Designing safe upgrade and rollout strategies at scale
• Improving observability, automation, and operational ergonomics
• Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance
• Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc.
• Serving as a primary escalation point and on-call for relevant incidents
• Owning the relationship with all system vendors, including WarpStream Labs and others.
• As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.

This role blends deep distributed systems work with the opportunity to influence how the team approaches reliability, scaling, and operational excellence.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership.

What Makes You a Great Fit:

• Regular 1:1s with your manager and close collaboration with teammates across regions
• Reviewing and defining SLOs for shared database infrastructure, proactively reducing error budgets through improvements to monitoring, automation, scaling strategies, and system design
• Improving the diagnosability of core streaming and database systems in production, where possible.
• Implementing solutions that ensure reliability, scalability, and performance of high-throughput, multi-cloud infrastructure
• Developing fault-tolerant patterns that account for distributed system realities such as storage latency, partition imbalance, noisy neighbors, and control-plane dependencies
• Planning and executing safe upgrades and rollouts across dozens of production clusters
• Collaborating with database and platform engineering leaders to influence architecture, roadmap priorities, and long-term strategy
• Participating in PR review and contributing to design documents, automation, tooling, and code improvements that reduce operational risk
• Sharing best practices and distributed systems knowledge with partner teams
• Participating in incident response, from investigation through resolution and post-incident reviews (PIR)

Requirements:

• 6+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles.
• Experience operating distributed systems in production (e.g., streaming systems, analytical databases, large-scale storage backends). Examples of these include Kafka, Redpanda, WarpStream, Postgres, ClickHouse, Snowflake, or Cassandra.
• Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.).
• Solid understanding of distributed systems design and large-scale system trade-offs.
• Proficiency in at least one programming language (Go preferred, but not required).
• Working knowledge of Linux internals, networking, cloud storage, and performance/scaling behavior.
• Experience participating in blameless incident response and writing high-quality post-incident reviews.
• Clear communicator who can collaborate across teams and work autonomously.
• Curious, pragmatic, action-oriented, and kind (this is important!)
  
  

Compensation & Rewards:

In Ireland, the Base compensation range for this role is EUR 104,000 - EUR 124,800. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote opportunity and we would be interested in applicants living in UK time zones only at this time. 

Senior Software Engineer - Grafana Databases, Managed Services

The Opportunity: 

The Managed Services team is a newly formed squad within the Databases department. It owns and operates shared, production-critical infrastructure that powers Grafana Cloud’s next-generation database products (Mimir, Loki, and Tempo). Today, this includes operating 100+ WarpStream clusters across multiple cloud providers and regions, with continued growth anticipated for the future. WarpStream acts as the streaming backbone for ingestion and read/write decoupling across databases. It sits directly on the hot path for metrics, logs, and traces, handling high-throughput, multi-consumer workloads at massive scale.

In addition to streaming infrastructure, the team works closely with high-volume analytical and storage systems that power query-heavy and aggregation-heavy workloads, where latency, compression behavior, storage layout, and scaling characteristics matter deeply.

What You’ll Be Doing:

As a Senior Engineer on Managed Services, you will take ownership of running these systems in production. This involves:

• Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure
• Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.)
• Designing safe upgrade and rollout strategies at scale
• Improving observability, automation, and operational ergonomics
• Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance
• Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc.
• Serving as a primary escalation point and on-call for relevant incidents
• Owning the relationship with all system vendors, including WarpStream Labs and others.
• As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.

This role blends deep distributed systems work with the opportunity to influence how the team approaches reliability, scaling, and operational excellence.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership.

What Makes You a Great Fit:

• Regular 1:1s with your manager and close collaboration with teammates across regions
• Reviewing and defining SLOs for shared database infrastructure, proactively reducing error budgets through improvements to monitoring, automation, scaling strategies, and system design
• Improving the diagnosability of core streaming and database systems in production, where possible.
• Implementing solutions that ensure reliability, scalability, and performance of high-throughput, multi-cloud infrastructure
• Developing fault-tolerant patterns that account for distributed system realities such as storage latency, partition imbalance, noisy neighbors, and control-plane dependencies
• Planning and executing safe upgrades and rollouts across dozens of production clusters
• Collaborating with database and platform engineering leaders to influence architecture, roadmap priorities, and long-term strategy
• Participating in PR review and contributing to design documents, automation, tooling, and code improvements that reduce operational risk
• Sharing best practices and distributed systems knowledge with partner teams
• Participating in incident response, from investigation through resolution and post-incident reviews (PIR)

Requirements:

• 6+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles.
• Experience operating distributed systems in production (e.g., streaming systems, analytical databases, large-scale storage backends). Examples of these include Kafka, Redpanda, WarpStream, Postgres, ClickHouse, Snowflake, or Cassandra.
• Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.).
• Solid understanding of distributed systems design and large-scale system trade-offs.
• Proficiency in at least one programming language (Go preferred, but not required).
• Working knowledge of Linux internals, networking, cloud storage, and performance/scaling behavior.
• Experience participating in blameless incident response and writing high-quality post-incident reviews.
• Clear communicator who can collaborate across teams and work autonomously.
• Curious, pragmatic, action-oriented, and kind (this is important!)
  
  

Compensation & Rewards:

In the United Kingdom, the Base compensation range for this role is GBP 91,755 - GBP 110,106. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote opportunity and we would be interested in applicants living in Spain time zones only at this time. 

Senior Software Engineer - Grafana Databases, Managed Services

The Opportunity: 

The Managed Services team is a newly formed squad within the Databases department. It owns and operates shared, production-critical infrastructure that powers Grafana Cloud’s next-generation database products (Mimir, Loki, and Tempo). Today, this includes operating 100+ WarpStream clusters across multiple cloud providers and regions, with continued growth anticipated for the future. WarpStream acts as the streaming backbone for ingestion and read/write decoupling across databases. It sits directly on the hot path for metrics, logs, and traces, handling high-throughput, multi-consumer workloads at massive scale.

In addition to streaming infrastructure, the team works closely with high-volume analytical and storage systems that power query-heavy and aggregation-heavy workloads, where latency, compression behavior, storage layout, and scaling characteristics matter deeply.

What You’ll Be Doing:

As a Senior Engineer on Managed Services, you will take ownership of running these systems in production. This involves:

• Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure
• Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.)
• Designing safe upgrade and rollout strategies at scale
• Improving observability, automation, and operational ergonomics
• Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance
• Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc.
• Serving as a primary escalation point and on-call for relevant incidents
• Owning the relationship with all system vendors, including WarpStream Labs and others.
• As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.

This role blends deep distributed systems work with the opportunity to influence how the team approaches reliability, scaling, and operational excellence.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership.

What Makes You a Great Fit:

• Regular 1:1s with your manager and close collaboration with teammates across regions
• Reviewing and defining SLOs for shared database infrastructure, proactively reducing error budgets through improvements to monitoring, automation, scaling strategies, and system design
• Improving the diagnosability of core streaming and database systems in production, where possible.
• Implementing solutions that ensure reliability, scalability, and performance of high-throughput, multi-cloud infrastructure
• Developing fault-tolerant patterns that account for distributed system realities such as storage latency, partition imbalance, noisy neighbors, and control-plane dependencies
• Planning and executing safe upgrades and rollouts across dozens of production clusters
• Collaborating with database and platform engineering leaders to influence architecture, roadmap priorities, and long-term strategy
• Participating in PR review and contributing to design documents, automation, tooling, and code improvements that reduce operational risk
• Sharing best practices and distributed systems knowledge with partner teams
• Participating in incident response, from investigation through resolution and post-incident reviews (PIR)

Requirements:

• 6+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles.
• Experience operating distributed systems in production (e.g., streaming systems, analytical databases, large-scale storage backends). Examples of these include Kafka, Redpanda, WarpStream, Postgres, ClickHouse, Snowflake, or Cassandra.
• Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.).
• Solid understanding of distributed systems design and large-scale system trade-offs.
• Proficiency in at least one programming language (Go preferred, but not required).
• Working knowledge of Linux internals, networking, cloud storage, and performance/scaling behavior.
• Experience participating in blameless incident response and writing high-quality post-incident reviews.
• Clear communicator who can collaborate across teams and work autonomously.
• Curious, pragmatic, action-oriented, and kind (this is important!)
  
  

Compensation & Rewards:

In Spain, the Base compensation range for this role is EUR 82,988 - EUR 99,586. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

We are looking for CRM Analyst, to join our team in Barcelona.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.

What Will You Do

The CRM Analyst is the measurement and intelligence engine of the central CRM organization. Operating across all game titles, this person pulls, verifies, and reports on campaign performance; tracks trends; and ensures experimentation is structured to produce reliable, actionable results. Critically, they look beyond individual game performance to surface portfolio-wide segment insights - understanding how key player cohorts like VIPs, regular customers, new players, and conversion targets perform across the full game catalog.

Campaign Reporting & Performance

• Pull and verify campaign data from the CRM platform and downstream analytics systems, reconciling any discrepancies
• Produce regular campaign performance reports for each game team and portfolio-level summaries for the Director of CRM
• Track trends over time — open rates, click rates, conversion, retention impact — and flag anomalies or degradation
• Create and maintain dashboards that give CRM/Lifecycle Lead PMs visibility into the performance of their communication programs

Experimentation Design & Governance

• Support CRM/Lifecycle Lead PMs in designing A/B and multivariate tests, ensuring appropriate sample sizes, holdout groups, and clean control conditions
• Maintain an experimentation log across all games to prevent conflicting tests and ensure results can be interpreted confidently
• Review proposed experiments for methodological soundness before launch
• Analyze and present experiment results with clear, actionable recommendations

Cross-Portfolio Segment Insights

• Define and maintain segment definitions across the portfolio (e.g., VIP, Regular Customer, New Player, Lapsed, Conversion Candidate)
• Track how these segments behave and respond to CRM across multiple titles, identifying patterns and outliers
• Produce regular cross-game segment reports that help the Director of CRM and game teams understand what works universally versus what is title-specific
• Identify high-value segment opportunities that are underserved by current campaigns

Data Integrity & Targeting Validation

• Validate that targeting attributes used in campaigns are correctly populated and reliably representing the intended audience
• Partner with Data Engineering to surface data quality issues and advocate for fixes
• Verify that audience sizes match expectations prior to campaign launch

What We’re Looking For:

• 4+ years in marketing analytics, CRM analytics, or a related data role - ideally in a behavior-based vs transactional environment -  like gaming or live services. 
• Proficiency with SQL and at least one BI or reporting tool (e.g., Looker, Tableau, Mode, or equivalent)
• Experience working with CRM or marketing automation platforms to extract and interpret campaign data
• Experience with both performance data and attribution data and able to ensure appropriate tracking is in place. 
• Ability to represent data needs to engineers if necessary data options are not available.
•  Understanding of A/Bn testing methodology, statistical significance, and experiment design across a complex set of overlapping campaigns.
• Ability to communicate data findings clearly to both technical and non-technical stakeholders
• Experience in games, apps, or a retention-driven consumer product is a strong plus
• Comfortable managing multiple reporting workstreams simultaneously across different game teams
• Experience in gaming as a player or operations manager preferred.

TECHNICAL SKILLS

• SQL (required)
• Excel / Google Sheets (advanced functions, pivot tables)
• BI tools (Looker, Tableau, Amplitude, etc.)
• Familiarity with event tracking tools (Segment, Snowflake, BigQuery, etc.)
• Basic understanding of data pipelines and data quality checks

Scopely is seeking a highly motivated Senior Analytics Engineer to join our Strategy & Business Operations team in Barcelona on a 2 day a week hybrid basis! 

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people worldwide daily.  

The Strategy and Business Operations team works closely with the Senior Leadership of Scopely to answer critical business-related questions. By acting as a strategic partner, the team translates complex data into actionable insights that drive the company's decision-making process and long-term growth.

What You’ll Do  

• Lead and collaborate with engineers, product teams, and analysts to develop self-serve insight products that are responsive, precise, and scalable at petabyte levels
• Oversee the entire data product lifecycle, including designing new tracking plans, developing data models, ELT pipelines, and self-serve insight products like Looker explores and dashboards
• Act as a guardian of data quality, ensuring consistent metric reporting across a wide range of data products
• Utilize cutting-edge technology stack including BigQuery, dbt and Looker
• Provide technical leadership and partner with our stakeholders and their teams to enhance their daily operations and product success.
• Bring expertise in a specific part of the data stack and lifecycle while contributing broadly across all aspects
• Mentor team members and drive the adoption of best practices within the team

What We’re Looking For  

• A strong passion for solving complex analytical puzzles
• Proven ability to translate business needs into advanced analytics solutions
• Deep expertise with the modern data stack (BigQuery, Snowflake, dbt, Looker, Airflow, GitHub, Terraform, command line-based workflows)
• Exceptional SQL skills coupled with at least 5 years of relevant experience in data analytics or engineering roles
• Demonstrate a solid proficiency in Python, with the ability to write clean, maintainable scripts to automate data workflows, perform exploratory data analysis and integrate various data sources within our modern tech stack.
• Solid understanding of data modeling principles (e.g., Kimball methodology, star schemas)
• A high valuation of business context and the drive to achieve technical excellence
• An inclination towards collaboration and pride in contributing to high-functioning teams
• Enjoyment in working within fast-paced, growth-oriented environments
• A sense of fun at work, with extracurricular interests like Ping Pong or Mario Kart seen as a bonus!

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!  

Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

This role will have access to sensitive and/or confidential employee or customer personally identifiable information (PII) and/or Company financial information, and therefore will be subject to background checks upon receiving a conditional offer of employment.    

At Superbet, data isn’t a support function, it’s at the heart of every major decision we make. As a Data Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products.

This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it.

What You’ll Do

• Be the Decision Engine: Run deep-dive analyses into customer behavior, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon.
• Shape Strategy with Data: Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions.
• Automate Intelligence: Build scalable dashboards, reporting systems, and data tools that enable teams across Superbet to make smarter, faster, data-driven decisions.
• Partner Across the Business: Collaborate with Product Managers, Commercial leaders, Engineers, Designers, and Marketers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions.
• Tackle Ambiguity: Superbet moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems.

What We’re Looking For

• Technical Mastery: SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical/ML methods and bringing them to life in dashboards (we use Tableau).
• Data Storytelling: You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making.
• Commercial & Product Acumen: You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior.
• Bias for Impact: You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle.
• Proven Track Record: Previous experience in analytics and product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth.
• Education: Degree in Data Science, Statistics, Economics, Computer Science/Engg., Mathematics, or a related quantitative field OR equivalent work experience.
• Years of Experience: We are hiring for roles with at least 2+ years of relevant experience.

Dataiku is looking for a Data Engineer to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA team, you will play a central role in delivering data to fuel analytics and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the data platform that fuels centralized analytics, embedded analytics teams, Generative AI engineering, and self-service users across the organization.

This role is about 50% Data Operations, Support & Troubleshooting, and 50% new development. The data engineering day-to-day will primarily be within the data platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts & Data Consumers! Your responsibilities within the team include but are not limited to:

• Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.

• Develop engineering expertise  within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL data replication & data pipelines on large & often complex data sets 

• Build & maintain data quality metrics & observability to help drive data quality standards

• Learn about existing systems and  processes across Data Platforms, Data Engineering and Data Governance

• Troubleshoot data pipelines, platform automations, data access system.

• Help field and troubleshoot various community questions and challenges

• Own, maintain and enhance data operation processes, monitoring & data quality systems

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with bringing ideas for platform and process improvements 

• Help contribute to the ongoing documentation of internal systems and processes

Requirements: 

• 2+ years of relevant experience in Data Engineering / Data Platform Engineering

• Strong technical skills in SQL & Python are a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake a plus

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Experience in building data models

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas, and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high-trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior-level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision

Dataiku is looking for a Data Engineer II to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA Team, you will play a central role in delivering data to fuel analytics, AI, and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the Data Platform that fuels centralized analytics, Generative AI engineering, embedded analytics teams, and self-service users across the organization.

You will become a technical expert on the various platforms we work in and help drive engineering excellence both within the EDA team and across the wider Analytics Community. The Data Engineering day to day will primarily be within the Data Platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. Strong software development lifecycle knowledge and DataOps skills are a must. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client-facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts! Your responsibilities within the team include but are not limited to:

• Be an expert level engineer within the Dataiku Platform including Platform Automation, GenAI Capabilities, Plugin Development, maintenance & troubleshooting

• Be an expert  level engineer within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL based platform automation process

• Build & maintain data quality metrics & observability to help drive data quality standards

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Build & maintain GenAI Platform platform solutions focused on security and governance for engineering delivery

• Build & maintain DataOps process for SDLC delivery

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help drive technical & architectural decisions on the data platform including decisions on data architecture, data engineering processes, data quality frameworks, data access security & governance frameworks, DataOps processes & data consumption models.

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with dedicated innovation time & projects that aim to be transformational for either the platform, team or company as a whole.

• Actively contribute to the expertise level and competencies of the EDA Team and participate in the creation and support of data development standards and best practices. 

Requirements : 

• 3+ years of relevant experience in Data Engineering / Data Platform Engineering

• Expertise in SQL & Python is a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake strongly desired

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Strong understanding of data architecture & data modeling concepts

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform.  Ability to create clear and concise documentations with a high degree of precision

We are looking for someone to join our Data department as a Data Engineer, helping us manage the integration and consolidation processes of our clients' data. In both on-premise and cloud environments, you will be responsible for designing the required information system architecture and managing and maintaining our clients' databases.

We’re looking for a proactive and analytical person who can adapt to a multidisciplinary team and is eager to help us tackle the many challenges our clients face.

What are we looking for?

Education:

• University degree in Computer Science, Software Engineering, or related fields with a technological specialization in data analysis and engineering.
• Plus: Master's or postgraduate degree in Big Data, Machine Learning, Cloud Computing, or Data Engineering.
  
  

Required Experience (demonstrable and advanced):

• Data Architecture & Systems: Extensive experience in designing, implementing, and optimizing complex, distributed information system architectures, including relational and NoSQL databases.
• Cloud Environments: Deep expertise in defining, implementing, managing, and maintaining enterprise-scale Cloud environments. Expert command of Azure and Google Cloud Platform (GCP), including PaaS/SaaS, serverless computing (Functions, Cloud Run, Azure Functions), containers (Docker, Kubernetes/AKS/GKE), and native cloud data services.
• Modern Data Warehouses: Advanced experience with cloud-native Data Warehouses like Snowflake, including dimensional data modeling, query optimization, and cost/performance management.
• Data Orchestration & Pipelines: Robust experience with data orchestration tools and building complex ETL/ELT pipelines using Pentaho, Apache Airflow, Data Factory, or similar, including CI/CD implementation for data pipelines.
• Advanced SQL: Demonstrable experience with advanced SQL, including complex analytical functions, query optimization, stored procedures, and efficient schema design.
• Software Development: Demonstrable experience with Javascript and Node.js, and Python for scripting, data automation, and ML model development.
  
  

Desired Experience:

• Customer Data Platforms (CDP): Experience in strategic definition, implementation, management, and maintenance of CDP solutions, preferably Segment, and their integration.
• Enterprise System Integration: Desirable experience with enterprise-level integration tools like Mulesoft or microservices architectures with REST/GraphQL APIs.
• Salesforce Ecosystem: Valuable experience working with Salesforce (Sales Cloud, Service Cloud, Marketing Cloud – SFMC), including data integration and automation.
  
  

Knowledge (Essential and Valuable):

• Deep knowledge and certifications in managing and optimizing cloud environments (Azure, GCP).
• Advanced knowledge and certifications in Snowflake (SnowPro Advanced/Architect is a plus).
• Proficiency in CDP tools (especially Segment).
• Knowledge of CRM / Marketing Automation tools (SFDC, SFMC, Adobe Campaign, Selligent Marketing Cloud).
• Advanced SQL knowledge (Analytical Functions, T-SQL, PL/SQL).
• Proficiency in programming languages like Javascript, Node.js, and Python.
• Strong understanding of Data Quality principles, Data Governance, and Normalization.
• Solid understanding of Machine Learning and AI algorithms for data enrichment and transformation.
• Experience with data streaming architectures (Kafka, Pub/Sub, Azure Event Hubs).
• Familiarity with MLOps and DataOps concepts.
  
  

Skills:

• Ability to analyze and solve complex problems.
• Project management and organizational skills for end-to-end data projects.
• Meticulous attention to detail and commitment to data quality.
• High capacity for discernment and prioritization in dynamic environments.
• Technical leadership and mentoring of junior profiles.
• Strategic thinking and innovation-oriented mindset.
• Excellent communication and presentation skills for clients and multidisciplinary teams.
  
  

Languages:

• Spanish (Native or Bilingual proficiency).
• English (High level C1/C2 - Essential for communication with international clients).
  
  

What would you do in this role? Here’s a list of responsibilities and tasks:

• Lead strategic requirements gathering, high-level design, and implementation of complex data solutions for client communication initiatives.
• Design and evolve scalable, efficient data architectures, selecting appropriate cloud-native technologies for each project.
• Design, develop, and optimize ETL/ELT data integration processes to ensure high-quality data ingestion, transformation, and availability.
• Implement end-to-end data solutions, ensuring validation, thorough documentation, and adherence to best practices in data engineering and security.
• Provide training and knowledge transfer to internal teams and clients.
• Maintain, evolve, and optimize existing data projects, ensuring monitoring, incident resolution, and continuous improvement.
• Manage and optimize client databases, ensuring performance, integrity, and security.
• Innovate with AI/ML: Implement data cleansing, normalization, consolidation, deduplication, and enrichment systems using ML/AI algorithms, including predictive scoring and customer clustering.
• Ensure Data Quality and Governance: Implement DQ mechanisms, guarantee data integrity, and ensure GDPR compliance across all processes.
• Strategically collaborate with clients: Participate in high-level meetings to assess current information system architectures, propose innovative improvements, and lead solution definitions for future challenges and new data platforms.
• Mentor and guide other data engineers, fostering best practices and professional development.
  
  

And since you'll give this and much more, we also want to give you much more:

• A dynamic and creative work environment.
• Important clients and international brands.
• Full-time position.
• Hybrid format.
• Christmas, Easter, July, and August: FULL REMOTE
• Flexible hours.
• Permanent contract with a six-month trial period.
• 22 working days of vacation per year + 12 extra days!
• Optional access to flexible compensation (health insurance, transportation, meals, and childcare).
• Ogilvy Wellness Program: Free psychological, legal, and financial support service. Discounts on physiotherapy and gyms.
• Ogilvy is recognized with the Family-Responsible Company (EFR) certification for its commitment to employee well-being and work-life balance.
  
  

If you’ve imagined yourself in this position, that’s a good sign. At Ogilvy, we want to work with the best talent—those who challenge us and make us better. People who are eager to experience an agency culture open to diversity as a principle and connectivity as a primary tool.

So, if you're nodding your head while reading this, send us your CV!

Job details
● 💼 Engineering Team
● 📍 Spain - Barcelona
● 🕜 Full-Time/Remote

What you will do

As an Engineering Manager, you will lead an engineering team that builds and operates systems at scale within our platform. This is a high-impact leadership role where you will see your team's work directly translate into real-world applications that impact businesses worldwide. The role requires you to combine strong technical experience with operational and people management excellence.

Where you will have impact

• Lead, coach, and mentor a team of engineers, fostering a culture of technical excellence and long-term career growth.
• Be the technical guide the team can lean on for growing their technical careers and for collaborating on their technical work, while at the same time being strong with people, organization, structure, planning and driving delivery.
• (Help) the architecture, design, implementation, maintenance, improvements and scaling of the systems your team owns.
• You will be at the forefront of our AI evolution, helping to embed intelligence into our platform. You'll not only build AI features for our customers but also champion an AI-first development culture within the engineering team.
• Identify, estimate, plan and deliver continuous improvements with the team in system quality, stability, observability, performance, and reliability.
• Collaborate closely with product, other engineering teams, support and business teams.

About our team

You'll be leading a skilled team of engineers who build and maintain critical parts of our platform. The team works on technically challenging problems at scale, turning complex requirements into reliable, high-quality solutions that power our products for the hospitality industry.

What's in it for you?

• Flexible time off: Autonomy to manage your work-life balance.
• Alan Flex benefits: 160€/month for food or nursery.
• Flexible retribution: Optional benefits through tax-free payroll deductions for food, transportation and/or nursery. 
• Wellbeing support: Subsidized ClassPass subscription.
• Comprehensive health insurance: 100% Alan coverage for you, your spouse, and dependents.
• Impactful work: Shape products relied on by 85,000+ users worldwide.
• Referral bonuses: Earn rewards for bringing in new talent.

Who you are

• You are an experienced people leader with a passion for coaching and mentoring engineers, driving their technical and professional growth.
• You have experience architecting, designing, implementing, testing, deploying and maintaining complex software systems.
• You have a proactive, "can-do" attitude, viewing challenges as opportunities and inspiring a positive, solution-oriented mindset within your team.
• You excel at seeing the bigger picture, breaking down large projects into clear, manageable tasks, and accurately estimating effort.
• You are a forward-thinking builder who views AI as a core component of modern engineering. You have a proven interest (or experience) in working with LLMs, agentic workflows, or AI-assisted coding tools to ship higher-quality code, faster.
• You get energized from optimizing structure, tooling, processes and ways of working.
• While this is a leadership role, you come from a strong hands-on engineering background and can act as a technical guide for your team.
• Professional proficiency in Python or similar languages for building systems at scale.
• Experience with cloud platforms and modern infrastructure (e.g. GCP, AWS, or Azure).
• Fluency in English, with excellent communication and stakeholder management skills.

We welcome

• Experience within the hospitality technology sector or similar industries (e.g. airline industry).
• Experience with data engineering (large-scale data processing and pipeline development), distributed systems, or high-throughput architectures.
• Strong knowledge of data cloud technologies, data streaming systems (like Kafka or Google Cloud Pub/Sub), and cloud database solutions (like BigQuery, Snowflake, or Databricks).

Technologies you will work with

Python, Google Cloud Platform (GCP), BigQuery, Spanner, Pub/Sub, Kubernetes.

Job details
● 💼 Engineering Team
● 📍 Spain - Barcelona
● 🕜 Full-Time/Remote

What you will do

As a Data Engineer in our new Data Products team, you will play a key role in shaping the quality and business value of our core data assets. You will be hands-on in designing, building, and maintaining the data pipelines that serve teams across Lighthouse. You will act as a bridge between our data and the business, collaborating with stakeholders and ensuring our data effectively enables its consumers.

Where you will have impact

• Become the expert for key data products, understanding the full data lifecycle, quality, and business applications.
• Design, implement, and maintain the streaming and batch data pipelines that power our products and internal analytics.
• Collaborate directly with data consumers to understand their needs, gather requirements, and deliver data solutions.
• Deliver improvements in data quality, latency, and reliability.
• Show a product engineering mindset, focusing on delivering value and solving business problems through data.
• You will be at the forefront of our AI evolution, helping to embed intelligence into our platform. You’ll not only build AI features for our customers but also champion an AI-first development culture within the engineering team.
• Mentor other engineers, sharing your expertise and contributing to their growth.

About our team

The Data Products Team is the definitive source of truth for Lighthouse's data, sitting at the foundational layer of our entire data ecosystem.

Their core mission is to model and deliver high-quality, foundational data products that are essential ingredients for all downstream product features, machine learning models, and data science initiatives across the company:

• Data Modeling & Ownership: Defining and optimizing core data entities for product and analytical use.
• Pipeline Engineering: Building robust ETL/ELT pipelines to transform raw integrated data into trusted domains.
• Data Quality: Establishing standards and monitoring the health of all foundational data assets. 

We are the core of the Lighthouse platform. We take ingested data from our Integrations teams, turn it into usable data products, and provide that clean output to both the Product Engineering and Data Science & Analytics teams. We rely on the Data Platform team for infrastructure support and tooling.

What's in it for you?

• Flexible time off: Autonomy to manage your work-life balance.
• Alan Flex benefits: 160€/month for food or nursery.
• Flexible retribution: Optional benefits through tax-free payroll deductions for food, transportation and/or nursery. 
• Wellbeing support: Subsidized ClassPass subscription.
• Comprehensive health insurance: 100% Alan coverage for you, your spouse, and dependents.
• Impactful work: Shape products relied on by 85,000+ users worldwide.
• Referral bonuses: Earn rewards for bringing in new talent.

Who you are

• Experience in a data engineering role, with a proven track record of building scalable data pipelines.
• A product engineering mindset, with a focus on understanding business context and stakeholder needs.
• Professional proficiency in Python for data processing and pipeline development.
• Strong knowledge of cloud database solutions such as BigQuery, Snowflake, or Databricks.
• You are a forward-thinking builder who views AI as a core component of modern architecture. You have a proven interest (or experience) in working with LLMs, agentic workflows, or AI-assisted coding tools to ship higher-quality code, faster.
• Excellent communication and stakeholder management skills.

We welcome

• Experience with microservice architectures and data streaming systems like Kafka or Google Cloud Pub/Sub.
• Familiarity with data governance or data quality tools such as Atlan or Soda.
• Experience mentoring other engineers.

Technologies you will work with

Mostly, but not limited to: GCP, Python, BigQuery, Kubernetes, Airflow, dbt, Terraform, Atlan (data governance tool), Soda.

Job details
● 💼 Engineering Team
● 📍 Spain
● 🕜 Full-Time/Remote

What you will do

As a Senior Data Engineer in our new Data Products team, you will play a key role in shaping the quality and business value of our core data assets. You will be hands-on in designing, building, and maintaining the data pipelines that serve teams across Lighthouse. You will act as a bridge between our data and the business, collaborating with stakeholders and ensuring our data effectively enables its consumers.

Where you will have impact

• Become the expert for key data products, understanding the full data lifecycle, quality, and business applications.
• Design, implement, and maintain the streaming and batch data pipelines that power our products and internal analytics.
• Collaborate directly with data consumers to understand their needs, gather requirements, and deliver data solutions.
• Deliver improvements in data quality, latency, and reliability.
• Show a product engineering mindset, focusing on delivering value and solving business problems through data.
• You will be at the forefront of our AI evolution, helping to embed intelligence into our platform. You’ll not only build AI features for our customers but also champion an AI-first development culture within the engineering team.
• Mentor other engineers, sharing your expertise and contributing to their growth.

About our team

The Data Products Team is the definitive source of truth for Lighthouse's data, sitting at the foundational layer of our entire data ecosystem.

Their core mission is to model and deliver high-quality, foundational data products that are essential ingredients for all downstream product features, machine learning models, and data science initiatives across the company:

• Data Modeling & Ownership: Defining and optimizing core data entities for product and analytical use.
• Pipeline Engineering: Building robust ETL/ELT pipelines to transform raw integrated data into trusted domains.
• Data Quality: Establishing standards and monitoring the health of all foundational data assets. 

We are the core of the Lighthouse platform. We take ingested data from our Integrations teams, turn it into usable data products, and provide that clean output to both the Product Engineering and Data Science & Analytics teams. We rely on the Data Platform team for infrastructure support and tooling.

What's in it for you?

• Flexible time off: Autonomy to manage your work-life balance.
• Alan Flex benefits: 160€/month for food or nursery.
• Flexible retribution: Optional benefits through tax-free payroll deductions for food, transportation and/or nursery. 
• Wellbeing support: Subsidized ClassPass subscription.
• Comprehensive health insurance: 100% Alan coverage for you, your spouse, and dependents.
• Impactful work: Shape products relied on by 85,000+ users worldwide.
• Referral bonuses: Earn rewards for bringing in new talent.

Who you are

• Experience in a data engineering role, with a proven track record of building scalable data pipelines.
• A product engineering mindset, with a focus on understanding business context and stakeholder needs.
• Professional proficiency in Python for data processing and pipeline development.
• Strong knowledge of cloud database solutions such as BigQuery, Snowflake, or Databricks.
• You are a forward-thinking builder who views AI as a core component of modern architecture. You have a proven interest (or experience) in working with LLMs, agentic workflows, or AI-assisted coding tools to ship higher-quality code, faster.
• Excellent communication and stakeholder management skills.

We welcome

• Experience with microservice architectures and data streaming systems like Kafka or Google Cloud Pub/Sub.
• Familiarity with data governance or data quality tools such as Atlan or Soda.
• Experience mentoring other engineers.

Technologies you will work with

Mostly, but not limited to: GCP, Python, BigQuery, Kubernetes, Airflow, dbt, Terraform, Atlan (data governance tool), Soda.

Scopely is seeking a highly motivated Data Governance Expert to join our Playgami team in Barcelona!

At Scopely, we care deeply about what we do and want to encourage play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people worldwide daily.

Playgami is building the best SaaS gaming platform ever! The team strives to build the world’s best products for game production, operation, and insights. Powering many award-winning, loved-by-millions franchise games over mobile, web, and PC.

What You’ll Do

This role is for an expert who can build and run an enterprise-scale data governance program for a global EDW, with strong fluency across Security, Compliance, and Legal. You will not be hands-on technical, but you will influence technical teams to implement governance rules and controls, and you will chair a complex, globally distributed Data Governance Council.

• Support the execution of Scopely’s data governance strategy for the global data warehouse
• Work closely with Security, Privacy, Legal, Compliance, and data teams to translate requirements into clear and actionable policies
• Help define and implement governance frameworks such as data classification, PII handling, access control, and data lifecycle management
• Collaborate with engineering teams to ensure governance policies are implemented correctly in data platforms
• Contribute to access governance processes, including approvals, reviews, and monitoring
• Help maintain documentation, decision logs, and governance guidelines to ensure transparency and consistency
• Identify risks related to data usage and support mitigation plans with clear tracking
• Assist in improving processes, templates, and training materials to increase adoption across teams
• Support governance needs for new projects, tools, and integrations, including emerging areas like AI usage
• Participate in governance forums and working groups, contributing to decisions and alignment
• Contribute to defining data ownership and accountability across datasets
• Support the implementation of data classification and sensitivity models
• Help ensure appropriate use of sensitive data based on business needs
• Assist in defining and applying data lifecycle policies, such as retention and archiving
• Collaborate with stakeholders to balance data access, risk, and business value

What We’re Looking For

• 4 to 7 years of experience in data governance, data management, privacy, compliance, or related areas
• Good understanding of data security and privacy concepts, such as PII handling, access control, and auditability
• Experience working with data teams to implement policies in real systems
• Ability to translate requirements into practical solutions with technical teams
• Strong collaboration skills and ability to work across different teams and functions
• Pragmatic mindset, you focus on solutions that work in real environments
• Clear communication skills, both written and verbal
• Comfortable working in fast-paced environments with evolving needs

Nice to Have

• Experience with modern data platforms such as BigQuery or Snowflake
• Familiarity with IAM concepts and BI tools
• Exposure to regulated environments or sensitive data domains
• Experience working in multi-team or global organizations

At Scopely, we create games for everyone, and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us and embrace the adventure!

Scopely is looking for a Senior Director, Data & Insights  to help power the continued success of Monopoly GO! This opportunity is open to candidates working remotely across the UK, Ireland, or Portugal, or in a hybrid setup from our Barcelona or Seville hubs.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.      

Monopoly GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide. The team is based in Europe and the US, and works every day to create captivating new experiences for our players.     

As Sr. Director of Data & Insights, you'll lead three teams — Analytics Engineering, Data Science, and Product Analytics — each owned by a Director or Lead reporting to you. Your job is to operate above the day-to-day: set strategy, drive cross-functional alignment, and deliver a step-change in how the studio uses data.

Your north stars: speed (time-to-insight in minutes and hours, not days), access (every PM, designer, and marketer answers their own data questions without a ticket queue), and impact (translating data insight into actionable software improvements) 

AI-Forward Mandate

You'll set the AI vision and hold your organization accountable for embedding it across the org. We expect this leader to build the future of insight delivery, not just manage the present.

What You'll Own

You are the ultimate craft leader for Data & Insight and drive impact through the following areas: 

Analytics Engineering — via Director/Lead

• Define the vision and operating model for Analytics Engineering as the company scales
• Set the direction for the data platform (pipelines, warehouse, semantic layer), focusing on speed, reliability, and ease of use
• Drive the adoption of a data product mindset across all areas
• Push the shift toward AI-enabled workflows in analytics, both for how data is built and how it’s used
• Define how AI systems interact with our data, enabling simple, self-serve access for both technical and non-technical users
• Own the principles behind the metrics layer as a single source of truth across the company
• Maintain a strategic relationship with the central Scopely data function 

Data Science — via Director/Lead

• Set direction and provide feedback for the Data Science roadmap 
• Identify and bridge the gap in missing Data Science models and frameworks 
• Set expectations for how AI should enhance decision-making and operational workflows, and increase the ceiling is what’s possible with Data Science 

Product Analytics — via Director/Lead

• Align Product Analytics direction and roadmap with product strategy, ensuring insights directly inform roadmap decisions and prioritization
• Define the Product Analytics operating model (team structure, embedding, ways of working) to maximize impact and enable proactive, high-quality decision-making
• Set expectations for AI-enabled analytics, improving insight generation, scalability, and team productivity while maintaining rigor

Leadership Scope

• Directly manage 3 Director/Lead-level reports; indirectly lead 40+ analysts, engineers, and data scientists
• Coach and develop your direct reports
• Own the data roadmap and OKRs; serve as the data voice at the product executive level
• Build data literacy programs so non-technical partners can self-serve confidently

What We're Looking For

• 10+ years in data, analytics, or data science; 5+ years managing director-level leaders
• Proven track record in live-service mobile games or high-scale consumer apps
• Deep expertise in the modern data stack: dbt, Snowflake/BigQuery, Looker/Tableau/Hex
• Hands-on fluency with LLM patterns (RAG, agents, prompt engineering) and AI tooling deployment
• Strong command of experimentation design, causal inference, and ML systems in production
• Leads through delegation — comfortable owning strategy and outcomes without owning execution
• Exceptional communicator from SQL to C-suite; player-first and outcome-first mindset

Please ensure that the résumé/CV you attach is written in English.

Scopely is seeking a highly motivated Analytics Engineer to join our Playgami team in Barcelona on a hybrid basis! 

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people worldwide daily.  

Playgami is building the best SaaS gaming platform ever! The team strives to create the world’s best products for game production, operation, and insights. Powering many award-winning, loved-by-millions franchise games over mobile, web, and PC. 

What You’ll Do  

• We collaborate with engineers, product teams, and analysts to create self-serve insight products that are fast, accurate, and elastic at a petabyte-scale
• We work across the full data product lifecycle: designing new tracking plans, developing data models, ELT pipelines, and self-serve insight products like Looker explores and dashboards
• We are stewards of data quality, ensuring that metrics are consistently reported across the catalog of data products
• We work with cutting-edge tech (BigQuery, dbt, Looker)
• We look forward and back, applying tools like BQML to predict player behavior
• We empathize with our game product teams and departments to make their daily work more enjoyable and their products more successful
• We often specialize in some part of the data stack and lifecycle but always aim to contribute across the full spectrum

What We’re Looking For  

• You love solving puzzles
• You can translate needs into analytics tech
• You have experience with the modern data stack (tools like BigQuery, Snowflake, dbt, Looker, Airflow, GitHub, and command line-based workflows) or hunger to work in that domain
• You have first-class SQL skills and 3+ years of experience in a relevant role
• You understand the importance of data modeling, like knowing your Kimballs, your star schemas
• You value business context and improvement as much as you do first-class technical solutions
• You love collaboration and take pride in working in high-functioning teams
• You enjoy working in rapidly evolving, hyper-growth environments where every change presents an opportunity for us to grow
• You love having fun at work. Ping Pong/Mario Kart skills are a plus!

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!  

• A strong passion for solving complex analytical puzzles
• Proven ability to translate business needs into advanced analytics solutions
• Deep expertise with the modern data stack (BigQuery, Snowflake, dbt, Looker, Airflow, GitHub, command line-based workflows)
• Exceptional SQL skills coupled with at least 5 years of relevant experience in data analytics or engineering roles
• Solid understanding of data modeling principles (e.g., Kimball methodology, star schemas)
• A high valuation of business context and the drive to achieve technical excellence
• An inclination towards collaboration and pride in contributing to high-functioning teams
• Enjoyment in working within fast-paced, growth-oriented environments
• A sense of fun at work, with extracurricular interests like Ping Pong or Mario Kart seen as a bonus!

• Lead and collaborate with engineers, product teams, and analysts to develop self-serve insight products that are responsive, precise, and scalable at petabyte levels
• Oversee the entire data product lifecycle, including designing new tracking plans, developing data models, ELT pipelines, and self-serve insight products like Looker explores and dashboards
• Act as a guardian of data quality, ensuring consistent metric reporting across a wide range of data products
• Establish and maintain robust data observability practices—including automated data validation, anomaly detection, SLAs, and alerting—to ensure trust and reliability across the pipeline
• Utilize cutting-edge technology stack including BigQuery, dbt and Looker
• Provide technical leadership and empathize with game product teams and departments to enhance their daily operations and product success
• Bring expertise in a specific part of the data stack and lifecycle while contributing broadly across all aspects
• Mentor team members and drive the adoption of best practices within the team

• A strong passion for solving complex analytical puzzles
• Proven ability to translate business needs into advanced analytics solutions
• Deep expertise with the modern data stack (BigQuery, Snowflake, dbt, Looker, Airflow, GitHub, command line-based workflows)
• Exceptional SQL skills coupled with at least 5 years of relevant experience in data analytics or engineering roles
• Solid understanding of data modeling principles (e.g., Kimball methodology, star schemas)
• Hands-on experience with data observability frameworks and data validation methods (e.g., dbt tests, schema testing, anomaly detection, SLAs/SLIs, lineage tools)
• A high valuation of business context and the drive to achieve technical excellence
• An inclination towards collaboration and pride in contributing to high-functioning teams
• Enjoyment in working within fast-paced, growth-oriented environments
• A sense of fun at work, with extracurricular interests like Ping Pong or Mario Kart seen as a bonus!

Join Us as We Build the Datavant Life Sciences Tech Hub in Barcelona

Datavant is expanding its global footprint with the development of our Life Sciences Tech Hub in Barcelona. We are seeking talented technical professionals who are product-oriented, impact-driven, and motivated to help shape the future of healthcare technology.

At Datavant, our Life Sciences technology powers clinical research, real-world evidence generation, pharmacovigilance, and data collaboration across the healthcare ecosystem. As a Software Engineer in our Life Sciences Tech Hub, you will design and build systems that enable secure, privacy-preserving access to high-quality healthcare data used by pharmaceutical companies, biotech innovators, and research organizations worldwide. Your work will directly support the development of new therapies, accelerate clinical trials, and improve patient outcomes by ensuring that critical data is interoperable, scalable, and trustworthy.

Careers at Datavant offer the chance to apply your technical expertise and problem-solving skills in support of our mission: enabling every healthcare decision to be powered by the right data, at the right time, in the right format. We’re looking for problem-solvers, game-changers, innovators, dreamers, doers - people who are ready to move the needle and build on our success.

Why join Datavant’s tech team? 

• You’ll collaborate with other engineering leaders on all matters that impact the Engineering team, including resourcing and building technology/product vision
• You’ll have the opportunity to coach and mentor colleagues, including code reviews, higher-level software design, and direct management
• The team works on a technical stack which includes both cloud and on-premise deployments, big-data ingestion and analytics, distributed systems, and algorithmic complexity.

Data Engineer (Python, Spark, Snowflake)

The Role

As a Data Engineer, you will build and scale health data pipelines that enable data discoverability, linkage, privacy, machine learning, and analytics across the organization. You will work with Python, Spark, and Snowflake to design efficient data models and reliable processing frameworks. This role provides the opportunity to shape foundational data infrastructure that supports regulatory-grade health decisions at scale.

What You’ll Do

• Design and maintain scalable data pipelines using Python, Spark, and Airflow
• Ensure pipeline reliability, data quality, and observability
• Partner with Science and Product to define and prioritize data requirements
• Implement automated testing and optimize processing performance and cost
• Design and maintain data validation frameworks aligned with regulatory requirements

What You’ll Bring

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field, or equivalent practical experience
• 2+ years of data engineering or software engineering experience for junior candidates; 5+ years for senior candidates
• Professional experience building data pipelines in Python
• Hands on experience with distributed data processing frameworks such as Apache Spark and orchestration with Airflow
• Experience working with cloud data warehouses such as Snowflake
• Experience integrating agentic code generation tools such as Claude Code or Codex into day to day software engineering practices

Preferred Qualifications

• Experience designing dimensional or analytics data models
• Experience working in AWS-based data environments
• Experience implementing data governance and quality frameworks
• Understanding of architectural considerations for on premises deployments, including networking and security constraints
• Knowledge of application security best practices (vulnerability management, security posture management, and risk assessment) and compliance frameworks (HIPAA, GDPR, HITRUST)

Perks of joining Datavant in Barcelona

• Competitive and equitable salary
• Hybrid work model, with two days per week based in our Gràcia office
• Daily in-office lunch stipend and access to a fully stocked kitchen
• Comprehensive private health insurance, including out-of-network reimbursement options
• 25 days of annual paid leave
• Six-week “Work from Anywhere” policy 

Overview

As a Staff Data Product Manager for the Analytics Platform, you will own the vision and roadmap for our core data foundation, primarily powered by Snowflake. Your mission is to bridge the "Perception vs. Reality" gap: while our platform is technically robust (with minimal incidents in 2025), users often find data hard to use or unclear.
You will define the "what" and "why" of our platform , ensuring it transitions from a reactive service to a strategic partner that empowers every team at Super to leverage data and AI capabilities at scale.

Key responsibilities

Product strategy & vision

• Own and articulate the product strategy and long-term vision for the Analytics Platform by defining the end-to-end analytical product lifecycle —- from data producer contract management and quality guardrails to downstream data consumers, their access patterns, and measurable value realisation.
• Develop a long-term vision for the Analytics Platform, aligning with broader data-driven objectives.
• Stay ahead of industry trends in cloud warehousing, data modeling, and emerging AI technologies.
• Propose and explore new ways of utilizing Snowflake to leverage AI capabilities and drive business value.

User research & advocacy

• Define and continuously evolve a clear measurement framework for Analytics Platform usability and adoption; use it to enable data-driven decisions with platform leaders and to directly shape roadmap priorities based on measurable impact.
• Deeply investigate actual customer needs, workflows, and pain points to eliminate "blind spots" in platform adoption.
• Address the gap between technical uptime and user perception by ensuring data is intuitive, clear, and reliable.
• Champion a user-centric culture, transforming how technical and business teams interact with our data models.

Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap, balancing operational excellence with strategic initiatives.
• Collaborate with Product, Marketing, and Data Science to ensure Analytics platform is focused on most impactful initiatives across all areas

Strategic integration

• Partner with Product teams to ensure the Analytics Platform is a first-class citizen in the development lifecycle, not an afterthought.
• Partner with the Analytics Platform and Data leadership to transform high-level objectives into vision, direction and roadmap for a scalable, reliable technical platform.

Execution & delivery

• Translate business goals into well-defined problem statements, user stories, and acceptance criteria.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure every initiative has a defined "Problem to Solve" and clear success measurement.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, or a related field.
• 6–8+ years of product management experience, specifically with data products or analytics platforms.

2. Technical & domain expertise

• Strong familiarity with Analytics databases (e.g Snowflake, BigQuery, Redshift), ETL pipelines, DWH concepts and BI tools.
• Ability to convert complex technical concepts into clear business value.
• Proven track record in leading cross-functional teams

3. Strong differentiators

• Previous experience driving large-scale data product initiatives from ideation to launch
• Experience in entertainment, online gaming, or sports betting industries.

Overview

As a Staff Data Product Manager for the Analytics Platform, you will own the vision and roadmap for our core data foundation, primarily powered by Snowflake. Your mission is to bridge the "Perception vs. Reality" gap: while our platform is technically robust (with minimal incidents in 2025), users often find data hard to use or unclear.
You will define the "what" and "why" of our platform , ensuring it transitions from a reactive service to a strategic partner that empowers every team at Super to leverage data and AI capabilities at scale.

Key responsibilities

Product strategy & vision

• Own and articulate the product strategy and long-term vision for the Analytics Platform by defining the end-to-end analytical product lifecycle —- from data producer contract management and quality guardrails to downstream data consumers, their access patterns, and measurable value realisation.
• Develop a long-term vision for the Analytics Platform, aligning with broader data-driven objectives.
• Stay ahead of industry trends in cloud warehousing, data modeling, and emerging AI technologies.
• Propose and explore new ways of utilizing Snowflake to leverage AI capabilities and drive business value.

User research & advocacy

• Define and continuously evolve a clear measurement framework for Analytics Platform usability and adoption; use it to enable data-driven decisions with platform leaders and to directly shape roadmap priorities based on measurable impact.
• Deeply investigate actual customer needs, workflows, and pain points to eliminate "blind spots" in platform adoption.
• Address the gap between technical uptime and user perception by ensuring data is intuitive, clear, and reliable.
• Champion a user-centric culture, transforming how technical and business teams interact with our data models.

Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap, balancing operational excellence with strategic initiatives.
• Collaborate with Product, Marketing, and Data Science to ensure Analytics platform is focused on most impactful initiatives across all areas

Strategic integration

• Partner with Product teams to ensure the Analytics Platform is a first-class citizen in the development lifecycle, not an afterthought.
• Partner with the Analytics Platform and Data leadership to transform high-level objectives into vision, direction and roadmap for a scalable, reliable technical platform.

Execution & delivery

• Translate business goals into well-defined problem statements, user stories, and acceptance criteria.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure every initiative has a defined "Problem to Solve" and clear success measurement.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, or a related field.
• 6–8+ years of product management experience, specifically with data products or analytics platforms.

2. Technical & domain expertise

• Strong familiarity with Analytics databases (e.g Snowflake, BigQuery, Redshift), ETL pipelines, DWH concepts and BI tools.
• Ability to convert complex technical concepts into clear business value.
• Proven track record in leading cross-functional teams

3. Strong differentiators

• Previous experience driving large-scale data product initiatives from ideation to launch
• Experience in entertainment, online gaming, or sports betting industries.

Overview

As a Staff Data Product Manager for the Analytics Platform, you will own the vision and roadmap for our core data foundation, primarily powered by Snowflake. Your mission is to bridge the "Perception vs. Reality" gap: while our platform is technically robust (with minimal incidents in 2025), users often find data hard to use or unclear.
You will define the "what" and "why" of our platform , ensuring it transitions from a reactive service to a strategic partner that empowers every team at Super to leverage data and AI capabilities at scale.

Key responsibilities

Product strategy & vision

• Own and articulate the product strategy and long-term vision for the Analytics Platform by defining the end-to-end analytical product lifecycle —- from data producer contract management and quality guardrails to downstream data consumers, their access patterns, and measurable value realisation.
• Develop a long-term vision for the Analytics Platform, aligning with broader data-driven objectives.
• Stay ahead of industry trends in cloud warehousing, data modeling, and emerging AI technologies.
• Propose and explore new ways of utilizing Snowflake to leverage AI capabilities and drive business value.

User research & advocacy

• Define and continuously evolve a clear measurement framework for Analytics Platform usability and adoption; use it to enable data-driven decisions with platform leaders and to directly shape roadmap priorities based on measurable impact.
• Deeply investigate actual customer needs, workflows, and pain points to eliminate "blind spots" in platform adoption.
• Address the gap between technical uptime and user perception by ensuring data is intuitive, clear, and reliable.
• Champion a user-centric culture, transforming how technical and business teams interact with our data models.

Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap, balancing operational excellence with strategic initiatives.
• Collaborate with Product, Marketing, and Data Science to ensure Analytics platform is focused on most impactful initiatives across all areas

Strategic integration

• Partner with Product teams to ensure the Analytics Platform is a first-class citizen in the development lifecycle, not an afterthought.
• Partner with the Analytics Platform and Data leadership to transform high-level objectives into vision, direction and roadmap for a scalable, reliable technical platform.

Execution & delivery

• Translate business goals into well-defined problem statements, user stories, and acceptance criteria.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure every initiative has a defined "Problem to Solve" and clear success measurement.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, or a related field.
• 6–8+ years of product management experience, specifically with data products or analytics platforms.

2. Technical & domain expertise

• Strong familiarity with Analytics databases (e.g Snowflake, BigQuery, Redshift), ETL pipelines, DWH concepts and BI tools.
• Ability to convert complex technical concepts into clear business value.
• Proven track record in leading cross-functional teams

3. Strong differentiators

• Previous experience driving large-scale data product initiatives from ideation to launch
• Experience in entertainment, online gaming, or sports betting industries.

Overview

As a Staff Data Product Manager for the Analytics Platform, you will own the vision and roadmap for our core data foundation, primarily powered by Snowflake. Your mission is to bridge the "Perception vs. Reality" gap: while our platform is technically robust (with minimal incidents in 2025), users often find data hard to use or unclear.
You will define the "what" and "why" of our platform , ensuring it transitions from a reactive service to a strategic partner that empowers every team at Super to leverage data and AI capabilities at scale.

Key responsibilities

Product strategy & vision

• Own and articulate the product strategy and long-term vision for the Analytics Platform by defining the end-to-end analytical product lifecycle —- from data producer contract management and quality guardrails to downstream data consumers, their access patterns, and measurable value realisation.
• Develop a long-term vision for the Analytics Platform, aligning with broader data-driven objectives.
• Stay ahead of industry trends in cloud warehousing, data modeling, and emerging AI technologies.
• Propose and explore new ways of utilizing Snowflake to leverage AI capabilities and drive business value.

User research & advocacy

• Define and continuously evolve a clear measurement framework for Analytics Platform usability and adoption; use it to enable data-driven decisions with platform leaders and to directly shape roadmap priorities based on measurable impact.
• Deeply investigate actual customer needs, workflows, and pain points to eliminate "blind spots" in platform adoption.
• Address the gap between technical uptime and user perception by ensuring data is intuitive, clear, and reliable.
• Champion a user-centric culture, transforming how technical and business teams interact with our data models.

Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap, balancing operational excellence with strategic initiatives.
• Collaborate with Product, Marketing, and Data Science to ensure Analytics platform is focused on most impactful initiatives across all areas

Strategic integration

• Partner with Product teams to ensure the Analytics Platform is a first-class citizen in the development lifecycle, not an afterthought.
• Partner with the Analytics Platform and Data leadership to transform high-level objectives into vision, direction and roadmap for a scalable, reliable technical platform.

Execution & delivery

• Translate business goals into well-defined problem statements, user stories, and acceptance criteria.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure every initiative has a defined "Problem to Solve" and clear success measurement.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, or a related field.
• 6–8+ years of product management experience, specifically with data products or analytics platforms.

2. Technical & domain expertise

• Strong familiarity with Analytics databases (e.g Snowflake, BigQuery, Redshift), ETL pipelines, DWH concepts and BI tools.
• Ability to convert complex technical concepts into clear business value.
• Proven track record in leading cross-functional teams

3. Strong differentiators

• Previous experience driving large-scale data product initiatives from ideation to launch
• Experience in entertainment, online gaming, or sports betting industries.

Are you excited about building modern data infrastructure that powers self-service analytics and high-quality data products at scale? At Super Technologies, data is a strategic enabler of decision-making, experimentation, and performance measurement. Our Analytics Platform team builds the foundations that make data reliable, accessible, and actionable, partnering closely with product, analysts, data scientists, and engineering teams to measure what matters.

You’ll be joining a mature and growing community of 40+ data engineers who are shaping one of the most advanced data ecosystems in the industry.

What you'll be doing:

• Design, build, and evolve scalable ETL/ELT pipelines for high-volume, fast-changing datasets
• Own medium-to-large data initiatives end-to-end, from requirement shaping and technical design to production rollout and ongoing improvement
• Model reliable, analytics-ready data using proven warehouse methodologies such as Kimball, Inmon, or similar approaches
• Develop and maintain curated analytical layers, semantic models, and data marts that enable self-service and trusted decision-making
• Orchestrate robust workflows using tools such as Apache Airflow and improve reliability, observability, and maintainability of data pipelines
• Partner with software engineers, analysts, product managers, and business stakeholders to translate ambiguous requirements into scalable data solutions
• Proactively identify data quality, performance, and modeling issues and drive improvements before they become business problems
• Contribute to architecture and engineering decisions within your domain, balancing speed, quality, and long-term maintainability
• Mentor less senior data engineers through code reviews, design discussions, documentation, and day-to-day guidance
• Raise the engineering bar through testing, automation, CI/CD practices, clear documentation, and thoughtful technical standards

We're looking for:

• Strong SQL and Python skills, with solid hands-on experience building production-grade data pipelines and analytical models
• Deep understanding of dimensional modeling methodologies and modern data warehouse design in platforms such as Snowflake, BigQuery, or similar
• Experience owning projects independently and driving delivery across multiple stakeholders or teams
• Solid experience with orchestration tooling such as Airflow, Dagster, or similar
• Strong understanding of data quality, lineage, observability, and operational excellence in a data engineering environment
• Ability to take ambiguous business problems and turn them into clean, maintainable, well-documented data solutions
• Experience working with cloud platforms, preferably AWS, though Azure or GCP experience is also valuable
• Confidence influencing technical decisions within your team and collaborating effectively with both technical and non-technical stakeholders
• Strong communication skills and a collaborative, problem-solving mindset

Bonus points for:

• Experience with event-driven source systems
• Experience with cloud-native analytical databases like Snowflake, BigQuery, Databricks
• Familiarity with semantic layers, metrics modeling, and enabling data products beyond traditional BI reporting
• Exposure to experimentation-driven or product-led environments
• Experience with data governance, cataloging, and documentation practices such as DataHub
• Experience improving developer productivity through tooling, shared frameworks, or reusable patterns
• Multi-cloud exposure and understanding of platform trade-offs

Are you excited about building modern data infrastructure that powers self-service analytics and high-quality data products at scale? At Super Technologies, data is a strategic enabler of decision-making, experimentation, and performance measurement. Our Analytics Platform team builds the foundations that make data reliable, accessible, and actionable, partnering closely with product, analysts, data scientists, and engineering teams to measure what matters.

You’ll be joining a mature and growing community of 40+ data engineers who are shaping one of the most advanced data ecosystems in the industry.

What you'll be doing:

• Design, build, and evolve scalable ETL/ELT pipelines for high-volume, fast-changing datasets
• Own medium-to-large data initiatives end-to-end, from requirement shaping and technical design to production rollout and ongoing improvement
• Model reliable, analytics-ready data using proven warehouse methodologies such as Kimball, Inmon, or similar approaches
• Develop and maintain curated analytical layers, semantic models, and data marts that enable self-service and trusted decision-making
• Orchestrate robust workflows using tools such as Apache Airflow and improve reliability, observability, and maintainability of data pipelines
• Partner with software engineers, analysts, product managers, and business stakeholders to translate ambiguous requirements into scalable data solutions
• Proactively identify data quality, performance, and modeling issues and drive improvements before they become business problems
• Contribute to architecture and engineering decisions within your domain, balancing speed, quality, and long-term maintainability
• Mentor less senior data engineers through code reviews, design discussions, documentation, and day-to-day guidance
• Raise the engineering bar through testing, automation, CI/CD practices, clear documentation, and thoughtful technical standards

We're looking for:

• Strong SQL and Python skills, with solid hands-on experience building production-grade data pipelines and analytical models
• Deep understanding of dimensional modeling methodologies and modern data warehouse design in platforms such as Snowflake, BigQuery, or similar
• Experience owning projects independently and driving delivery across multiple stakeholders or teams
• Solid experience with orchestration tooling such as Airflow, Dagster, or similar
• Strong understanding of data quality, lineage, observability, and operational excellence in a data engineering environment
• Ability to take ambiguous business problems and turn them into clean, maintainable, well-documented data solutions
• Experience working with cloud platforms, preferably AWS, though Azure or GCP experience is also valuable
• Confidence influencing technical decisions within your team and collaborating effectively with both technical and non-technical stakeholders
• Strong communication skills and a collaborative, problem-solving mindset

Bonus points for:

• Experience with event-driven source systems
• Experience with cloud-native analytical databases like Snowflake, BigQuery, Databricks
• Familiarity with semantic layers, metrics modeling, and enabling data products beyond traditional BI reporting
• Exposure to experimentation-driven or product-led environments
• Experience with data governance, cataloging, and documentation practices such as DataHub
• Experience improving developer productivity through tooling, shared frameworks, or reusable patterns
• Multi-cloud exposure and understanding of platform trade-offs

The Opportunity:

We are looking for a People Analytics Analyst to join our recently formed People Analytics team and serve as a strategic, data-driven partner to leaders across the business. This role blends strong analytical and technical skills with a consultative, business-facing mindset — someone who loves working with data and using it to influence decisions.

This role will partner closely with HR Business Partners, the People Leadership Team (PLT), senior business leaders, and teams across the broader People organization (e.g., Talent Acquisition, L&D, Total Rewards, Workday), translating complex people data into clear insights, narratives, and recommendations. A significant focus of this role will be supporting Sales and Go-To-Market (GTM) organizations, using workforce data to help leaders understand performance, retention, hiring, and organizational effectiveness within revenue-generating teams. You will report to the Director of People Analytics.

The People Analytics function is entering its next phase of growth — expanding beyond foundational reporting into deeper insights, standardization, and proactive workforce analytics. This role will play a critical part in shaping how people data is used to understand organizational health, guide strategy, and support leaders in solving real business problems.

If you’re excited about being both a hands-on data practitioner and a trusted advisor to the business, particularly in fast-paced, performance-driven environments like Sales, we’d love to hear from you.

What You’ll Be Doing:

• Serve as a go-to, business-facing People Analytics expert for People Team Business Partners, the People Leadership Team, and senior business leaders — tracking against organizational health metrics and people plan objectives, always close to the business and its biggest workforce challenges, with a strong focus on supporting Sales and Go-To-Market (GTM) organizations. 
• Conduct and deliver ongoing workforce analysis, QBRs, and ad hoc analytics that inform and drive better business decisions.
• Lead data storytelling: translate complex people data into clear, compelling narratives and recommendations tailored to executive and leadership audiences
• Proactively partner with BPs and leaders on strategic areas of focus (e.g., attrition, hiring, performance, mobility, retention, org design), using data to identify trends, risks, and opportunities.
• Bring curiosity and tenacity to connecting data across disparate people systems — uncovering trends, risks, and opportunities across attrition, hiring, performance, mobility, org health, and more
• Develop rapid 'v0.5' analytical solutions from the front lines, then partner with the broader People Analytics team to scale and productionize them
• Leverage AI tools and automation throughout your workflow — from analysis and reporting to insight generation — while applying your expertise to guide, correct, and elevate AI output
• Use data skills, curiosity and People Analytics expertise to develop scalable SQL modeling, business-facing dashboards, automated reporting and AI solutions. 
• Drive forward the strategic roadmap of the People Analytics function, including expanding reporting and analytics capabilities, establishing and evolving KPIs,  and leading key projects in critical business areas.

What Makes You a Great Fit:

• Experience in a people analytics, HR analytics, or workforce analytics role with meaningful exposure to business-facing stakeholders
• An endlessly curious analytical mindset — you love connecting data together and seeing what it reveals
• SQL proficiency: writing complex, efficient queries is a regular part of your workflow (BigQuery, Snowflake, or similar)
• Strong AI skills and genuine interest in using AI tools to improve how you work — you proactively seek AI-driven solutions and apply your domain expertise to guide and validate them
• Advanced experience with Excel and/or Google Sheets for analysis, modeling, and quick-turn insights
• Experience with data visualization and BI tools (PowerBI, Tableau, Looker; Grafana BI a plus) with an interest in enabling self-service analytics
• Experience working with people data from HR systems such as Workday, Greenhouse, LMS platforms, or similar
• Strong presentation and storytelling skills — you can translate complex data into clear, compelling insights for non-technical audiences
• Excellent communication and stakeholder management skills; you build trust and credibility with HR partners and business leaders
• Resilience and adaptability — you thrive under pressure, handle competing priorities without losing quality, and treat ambiguity as a challenge rather than an obstacle
• Comfort operating in a growing, evolving analytics function where building, iterating, and scaling are part of the job

Bonus Points For:

• Experience with dbt or analytics engineering concepts
• Experience helping define analytics strategy, metrics, or reporting standards
• A passion for building — better datasets, cleaner reporting, or more impactful insights

Compensation & Rewards:

In Spain, the compensation range for this role is EUR 73,000 - EUR 88,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. 

What to know about the Dataiku Support Team

At Dataiku, the Support organization is a fully remote team focused on enabling our customers and helping them work through any technical issues or questions related to our Everyday AI Platform (DSS). We are a rapidly scaling and globally distributed team, with members spanning 10+ countries and across 3 major continents. Our focus is to take our growth to the next stage by building out an enterprise-grade global support function. 

How you’ll make an impact 

We are looking for an experienced technical support engineer who is comfortable working in a complex and dynamic environment and who can help contribute to the growth of our global support function as we continue to scale up our operations. As a Technical Support Engineer, you will help our EMEA and global customers solve their wide range of technical issues with Dataiku, such as installation, security, and integration with other big data technologies. You will also collaborate with various internal teams to solve and escalate customer issues as needed.

Some expected outcomes for this role 

• Help EMEA and global customers solve their technical issues with Dataiku through a variety of communication channels

• Communicate with our R&D team to solve complex issues and/or share feedback from our EMEA customers for future product improvement

• Work with other customer-facing teams when escalating or rerouting issues to help ensure a proper and efficient / timely resolution

• Document knowledge in the form of technical articles and contribute to knowledge bases or forums within specific areas of expertise

• Occasionally wear multiple hats and help out with other activities in a fast-paced and dynamic startup team environment

What you’ll need to be successful 

• At least 3 years of experience in a client-facing engineering or technical role, ideally involving a complex and rapidly evolving software/product

• Experience with cloud platforms such as AWS, Azure, and GCP

• Experience with Docker and Kubernetes

• Collaborative and helpful mindset with a focus on always working as a team

• A strong competency in technical problem solving with demonstrated experience performing advanced log analysis, debugging, and reproducing errors

• Proficiency working with Unix-based operating systems

• Experience with relational databases (or data warehouses like Snowflake) and SQL

• Ability to read and write Python or R code

What will make you stand out

• Experience with big data technologies, such as Hadoop or Spark 

• Experience with authentication and authorization systems such as LDAP, SAML, and Kerberos

• Experience with ML models and LLMs

What does the hiring process look like? #LI-Remote #LI-AN1

• Initial call with a member of our Technical Recruiting team

• Video call with the Technical Support Manager

• Technical Assessment to show your skills (Home Test)

• A technical interview with the TSE team to build on the assessment you completed

• Final Interview with the VP Technical Support

Tech environment

This role is intentionally not defined by one framework or specialty. That said, you will likely operate in an environment that includes Python-based services and APIs, relational databases, data-warehouses, real time databases and SQL, event-driven or distributed systems, cloud infrastructure, containers, CI/CD pipelines, and observability tooling. Depending on the project, you may also work with AI APIs, LLM-based workflows, retrieval patterns, and automation tooling.

Nice to have

• Experience working on internal platforms, operational tools, or product-heavy backend systems.
• Experience with Python frameworks such as Django, Flask, or FastAPI.
• Experience with PostgreSQL, Snowflake, Tinybird, Redis, and SQL-heavy applications.
• Familiarity with event-driven architectures or messaging systems such as Kafka or RabbitMQ.
• Experience with AWS, Docker, Kubernetes, Terraform, or similar infrastructure patterns.
• Familiarity with observability and monitoring tooling.
• Exposure to AI-enabled product development, LLM integrations, RAG patterns, or workflow automation.
• Experience working on 0→1 initiatives or undefined problem spaces.
• Demonstrated leadership through ownership of difficult projects with broad impact.

What success looks like

• You turn ambiguous opportunities into working systems or products that create clear value.
• You help teams make better trade-offs and avoid overengineering, fragmentation, and local optimization.
• You improve not only what gets built, but also how decisions are made.
• You become a trusted technical leader for important cross-functional initiatives.
• You increase the leverage of other engineers and teams through your judgment, technical direction, and execution support.
• You help connect engineering work to real operational and business outcomes.

Who will thrive in this role

You will likely thrive here if:

• You are energized by ambitious, messy, high-leverage problems.
• You like operating where priorities evolve and the path is not fully defined.
• You care more about impact than about staying inside a narrowly defined engineering lane.
• You enjoy combining engineering depth, product thinking, and business context.
• You naturally look for the highest-leverage way to move a system, a team, or a product forward.
• You want to play a meaningful role in shaping how the company builds and scales. 

Why join Fever

• You will work on some of the company’s most strategic problems.
• You will have real ownership and visible impact.
• You will help shape products, systems, and capabilities that matter across the business.
• You will work in an environment that values ambition, adaptability, pragmatism, and execution.
• You will be surrounded by smart, driven people who care about building things that matter.

Benefits & Perks

• Flexible schedule
• 2 days per week at the office
• 40% discount on all Fever events and experiences
• Health insurance from Day 1
• English or Spanish Lessons
• Wellhub Membership
• Cobee (tax free allowance on restaurants and transport)
• Possibility to receive in advance part of your salary by Payflow

Join our Movement and Champion Restaurant Culture! 💚

At TheFork we believe that the best things in life happen around the table, and we are on a mission to connect the world’s favorite restaurants and the broadest community of loyal diners.

Finding the best dining experience for our Diners community or boosting restaurant performance for our Restaurateurs Partners has never been easier thanks to our signature products:

• 📱TheFork App: our free restaurant discovery & booking app that helps you find your next table with ease.
• 💻TheFork Manager: our innovative software tool that digitizes restaurant operations, empowering our Restaurateurs to manage bookings efficiently and boost their revenue.
• 💳TheFork PAY and TheFork Gift Card: quick and easy ways to pay directly from TheFork app

At TheFork, we also believe that people truly make the difference. None of this would be possible without our vibrant Forkies community. Our strong core values—Better Together, Ownership, Respect, and Growth—are the guiding principles of everything we do, shaping our behaviors: “Come as you are,” “Dig in,” and “Make it Memorable”.

TheFork leads the restaurant booking market in Europe and operates in 11 countries. Our offices boast a fully international team working together in a flexible, multicultural, and constructive environment that provides everyone with space to grow, both professionally and personally.

To learn more about TheFork and our Forkies, explore our official site: https://www.careers.thefork.com

What you will do:

We are on a journey to revolutionize our data capabilities through the modernization of our Data Platform, unlocking insights and innovations that will power the company’s future.

We’re looking for a Senior Data Engineering Manager who can lead and inspire teams to drive the future of data in our company. If you’re passionate about leading from the front and pushing boundaries, join us on this journey.

You will lead 2 teams composed of Data Engineers and Data Ops to implement and maintain best practices in data processing, according to the Data Lakehouse approach.

You will work closely with Data Governance, Product Management and Architects to drive platform improvements and support the ever evolving needs of data and engineering teams.

You will:

• Own the data platform roadmaps
• Enhance and maintain robust batch ingestion and validation pipelines.
• Participate in our data transformation program taking direct ownership of the creation of a self-service data platform and contributing to the implementation of data governance principles.
• Collaborate with engineering teams to implement engineering best practices within the data ecosystem.
• Lead by example, fostering a culture of excellence and continuous improvement within the data engineering team, ensuring collaboration and alignment with broader business and product objectives
• Mentor and upskill team members
• Contribute to system architecture designs with Architects.
• Coordinate and run Proofs of Concept (POCs).

You will directly report to the Head of the tribe.

You Must Meet These Critical Qualifications

• Proven leadership and mentorship experience guiding data engineering teams.
• Extensive experience with Data Lakehouse architectures and implementation.
• Solid understanding of Data Mesh, including domain ownership, federated governance, and data product design.
• Solid understanding of Data Governance and Quality, covering metadata management, data lineage, and data observability in general.
• Proven experience using AWS services and familiar with infrastructure as code (Terraform).
• Proficiency in Python, SQL, Snowflake and Airflow.
• Experience with data modeling and knowledge of medallion architecture.

You Can Impress With These Additions

• Experience with Apache Iceberg and Delta Lake.
• Realtime data processing at scale.

What we offer you:

😄 An awesome team

🏠 A permanent contract (that can be useful in life)

⚖️ Flexible working environment (2 days home office per week +  up to 4 total weeks additional flexibility during the summer period and in December to work fully remotely)

💸 Competitive fixed salary  & bonus

🍕 Lunch vouchers available for each working day 

🌎 International teams and a multicultural environment spanning 10 offices across Europe

🤝Highly inclusive working environment

🤸‍♀️ Lifestyle benefits that can be used to reimburse  expenses related to physical and leisure activities, family support, travel etc

🎓 Continuous learning and development programs

😌 Free access to the Calm app to help you build resilience wherever you are in your mental health journey

🐣Dedicated parental leave and caregiver leave policies (12 weeks fully paid)

🏥  Health insurance

👩‍🦽 Life & Disability Insurance at no cost to the employee

🍴 Amazing offices with dining, a coffee point on each floor, and leisure area

🎤 Team building events

About the role

As a Data Engineer, you’ll be part of the team responsible for designing and delivering the data products that power Fever’s partner ecosystem — from real-time APIs and dashboards to data exports or automated reports. Our teams leverage modern data platforms (Snowflake, DBT, Airflow, Superset, DataHub, etc.) while developing our own technology to deliver high-quality, reliable, and scalable data products across multiple business domains.

You’ll work at the crossroads of engineering, product, and business, translating complex requirements into elegant and maintainable solutions that create real impact for our clients and internal teams.

What You’ll Do

• Deeply understand Fever’s backend systems and data models, identifying the logic and transformations that connect business processes to data representations.
• Collaborate fluidly with Product Managers, Project Managers, and business stakeholders to translate ideas and reporting needs into clear technical requirements and data structures.
• Develop and optimize ETL/ELT workflows using Python, DBT,  Airflow, and Snowflake, ensuring scalability, maintainability, and reliability.
• Design, build, and maintain partner-facing data products, including APIs (real-time and batch), dashboards, webhooks, and file-based exports.
• Ensure that all data delivered to partners is accurate, consistent, and aligned with the underlying business context.
• Contribute to the architecture, testing, and observability of our data ecosystem, promoting best practices and automation wherever possible.
• Take ownership from idea to delivery — you’ll scope, design, implement, and ship solutions in close collaboration with cross-functional teams.
• Support the evolution of Fever’s data mesh, helping domain teams design data products that follow common engineering and governance standards.

What You Bring

• Fluent in Spanish and English; you’ll communicate in Spanish with local teams and in English with global teams
• A Bachelor’s or Master’s degree in Computer Engineering, Data Engineering, or a related field.
• Strong proficiency in Python, SQL, Airflow, and Snowflake (or similar technologies).
• A deep understanding of data modeling and how complex backend systems generate and expose data across products and domains.
• Proven experience building data products for external consumption, such as APIs, dashboards, and partner-facing data feeds.
• Excellent communication and collaboration skills — you can work seamlessly with business stakeholders and product managers, translating abstract needs into clear data solutions.
• You communicate clearly, think in terms of impact, and make technical decisions grounded in business context.
• You thrive in fast-paced environments, adapt quickly to change, and maintain a strong sense of ownership from concept to delivery.
• Familiarity with modern data practices: version control (Git), CI/CD, testing, and observability.

Nice to Have

• Experience with real-time data platforms as Tinybird or Clickhouse
• Exposure to domains like B2B, Marketing, or Partner Reporting.
• Experience with streaming or near-real-time data (Kafka, Kinesis, etc.).

Why Join Us

This is a unique opportunity to join Fever’s Data team at a key moment of growth. You’ll help design and scale the reporting and data delivery layer that connects our platform with thousands of partners worldwide. You’ll work with a modern data stack, collaborate with talented engineers and product teams, and shape how Fever delivers value through data.

You’ll join a team that values clarity, autonomy, and impact — where engineering excellence and business understanding go hand in hand.

Benefits & Perks

• Flexible schedule
• Opportunity to have a real impact in a high-growth global category leader
• 40% discount on all Fever events and experiences
• Responsibility from day one and professional and personal growth
• Great work environment, international team of talented people to work with!
• Health insurance from Day 1.
• English or Spanish Lessons
• Gympass Membership
• Cobee (tax free allowance on restaurants and transport).
• Possibility to receive in advance part of your salary by Payflow.

Interview process

The interview process will be conducted in Spanish; however, some interviews will require English.

• Talent Interview
• Technical Interview I
• Manager Interview

We are one of the largest sports betting operators across Europe and have recently started our expansion into Brazil, making 1000+ location networks work across multiple geographies. If you ever wanted to see how software can handle 90 million bets per month - why not join us?

We have offices based in Madrid but will be offering full flexibility with occasional meet-ups with your teams and leads in the office as well as collaboration with our offices in London, Zagreb and more!

We are looking for someone who has:

• A minimum of 4+ years of hands-on experience in a large scale production environment.
• Has experience engineering high-quality, highly scalable software in any object-oriented or Functional language
• A willingness to learn new technologies
• A talent for clean coding, simple solutions, automated testing, and continuous deployment
• A passion for working in the cloud and automation
• Experience working with distributed systems
• Experience building and improving upon observability
• A passion for creating user-centric, data driven solutions

Bonus points for:

• Experience in AWS (DynamoDB, OpenSearch, MSK, S3, Cognito etc..)
• An interest in Functional Programming
• Knowledge of Kubernetes, Terraform
• Prior experience with data engineering principles—specifically involving Airflow, Kafka, or Snowflake—is a plus

What you'll be doing:

• Collaborating closely with geographically distributed engineering teams to design and implement scalable and robust software solutions.
• Enhancing the existing platform to increase the amount of business functionality driven by end-user configuration
• Enhancing system automation (scale, resiliency, deployment)
• Maintaining, enhancing and creating common platform components and libs (AWS, Erlang, Go, Kafka)
• Working with technical and non-technical stakeholders from the wider organization to understand and drive requirements and improvements across the platform
• Building on our CloudNative platform, enabling more use of AWS technology to aid in speeding up delivery, scale, and resiliency
• Building on our observability tooling and infrastructure to better understand the capabilities of our systems
• Growing the engineering community, building on the existing process and practices
• Leading initiatives and tasks and driving them to completion
• Drive continuous improvement initiatives to enhance team productivity and efficiency.

Are you excited about building analytics foundations that people can truly rely on, turning complex business questions into trusted datasets, metrics, and reporting experiences? At Super Technologies, data is a strategic enabler of decision-making, experimentation, and performance measurement. Our Analytics Platform team builds the foundations that make data reliable, accessible, and actionable, partnering with product, commercial, and engineering teams to measure what matters.

You’ll be joining a mature and growing community of 40+ data engineers and analytics engineers who are shaping one of the most advanced data ecosystems in the industry.

What you'll be doing:

• Design and build curated analytical datasets, metric implementation, and semantic models that enable consistent self-service analytics across the company
• Work hands-on with data warehouse modelling to turn evolving product and business needs into scalable, reusable data structures
• Partner closely with product, data scientists and business stakeholders to clarify requirements and translate them into reliable data models and reporting-ready outputs
• Build and own production dashboards (Tableau) on top of curated datasets and metric definitions, ensuring correctness, performance, and a consistent “single source of truth”
• Contribute to data quality, observability, lineage, and documentation practices to increase trust and reduce firefighting
• Promote reuse over reinvention, identify ad-hoc logic in reporting views or custom SQL and refactor it into curated, high-quality models that multiple teams can rely on.
• Raise the engineering bar through reviews, testing, automation, and pragmatic architectural improvements
• Apply engineering rigor to analytics - treat semantics as code utilizing version control, testing, automation, and CI/CD practices to manage the lifecycle of our business logic.
• Drive self-service adoption - create the foundations that allow analysts and business users to explore data safely and independently, without needing to reinvent the wheel.
• Work embedded within Data Engineering squads, collaborating daily with both data engineers and analysts on shared foundations and end-to-end delivery

We're looking for:

• Strong SQL skills and proven experience building analytical datasets and metrics in a modern data warehouse (Snowflake preferred, BigQuery, Redshift and similar also valuable)
• Solid understanding of data warehouse modeling and best practices (dimensional modeling, fact/dimension design, grains, slowly changing dimensions, semantic consistency)
• Experience working with reporting and BI tools (Tableau preferred), including understanding how data sources, extracts, and dashboard logic impact correctness, performance, and trust
• A production mindset: you care about reliability, maintainability, documentation, and operational ownership, not just creating a dataset once
• Strong ownership and collaboration skills, able to drive clarity in ambiguous problem spaces and partner effectively with both technical and non-technical teams
• Excellent communication skills with a pragmatic, problem-solving approach

Bonus points for:

• Experience with orchestration and workflow tooling (Airflow or similar)
• Experience with data cataloging, lineage, and governance tooling (e.g., DataHub)
• Background in product-led, experimentation-driven, or high-growth environments where definitions evolve quickly
• Experience supporting downstream operational consumers (e.g., CRM/audience platforms) or ML/feature engineering use cases
• Familiarity with streaming/event-heavy ecosystems (Kafka or similar)

Are you excited about building analytics foundations that people can truly rely on, turning complex business questions into trusted datasets, metrics, and reporting experiences? At Super Technologies, data is a strategic enabler of decision-making, experimentation, and performance measurement. Our Analytics Platform team builds the foundations that make data reliable, accessible, and actionable, partnering with product, commercial, and engineering teams to measure what matters.

You’ll be joining a mature and growing community of 40+ data engineers and analytics engineers who are shaping one of the most advanced data ecosystems in the industry.

What you'll be doing:

• Design and build curated analytical datasets, metric implementation, and semantic models that enable consistent self-service analytics across the company
• Work hands-on with data warehouse modelling to turn evolving product and business needs into scalable, reusable data structures
• Partner closely with product, data scientists and business stakeholders to clarify requirements and translate them into reliable data models and reporting-ready outputs
• Build and own production dashboards (Tableau) on top of curated datasets and metric definitions, ensuring correctness, performance, and a consistent “single source of truth”
• Contribute to data quality, observability, lineage, and documentation practices to increase trust and reduce firefighting
• Promote reuse over reinvention, identify ad-hoc logic in reporting views or custom SQL and refactor it into curated, high-quality models that multiple teams can rely on.
• Raise the engineering bar through reviews, testing, automation, and pragmatic architectural improvements
• Apply engineering rigor to analytics - treat semantics as code utilizing version control, testing, automation, and CI/CD practices to manage the lifecycle of our business logic.
• Drive self-service adoption - create the foundations that allow analysts and business users to explore data safely and independently, without needing to reinvent the wheel.
• Work embedded within Data Engineering squads, collaborating daily with both data engineers and analysts on shared foundations and end-to-end delivery

We're looking for:

• Strong SQL skills and proven experience building analytical datasets and metrics in a modern data warehouse (Snowflake preferred, BigQuery, Redshift and similar also valuable)
• Solid understanding of data warehouse modeling and best practices (dimensional modeling, fact/dimension design, grains, slowly changing dimensions, semantic consistency)
• Experience working with reporting and BI tools (Tableau preferred), including understanding how data sources, extracts, and dashboard logic impact correctness, performance, and trust
• A production mindset: you care about reliability, maintainability, documentation, and operational ownership, not just creating a dataset once
• Strong ownership and collaboration skills, able to drive clarity in ambiguous problem spaces and partner effectively with both technical and non-technical teams
• Excellent communication skills with a pragmatic, problem-solving approach

Bonus points for:

• Experience with orchestration and workflow tooling (Airflow or similar)
• Experience with data cataloging, lineage, and governance tooling (e.g., DataHub)
• Background in product-led, experimentation-driven, or high-growth environments where definitions evolve quickly
• Experience supporting downstream operational consumers (e.g., CRM/audience platforms) or ML/feature engineering use cases
• Familiarity with streaming/event-heavy ecosystems (Kafka or similar)

Nuestra cultura y nuestras personas son el motor de WPP Media, y nos impulsan a ofrecer experiencias excepcionales. En este rol, tu contribución será clave para vivir y promover nuestros valores:

• Ser Extraordinario: Liderando colectivamente para inspirar una creatividad transformadora.
• Ser Abierto: Equilibrando las experiencias de las personas y los clientes, cultivando la confianza.
• Ser Optimista: Impulsando el crecimiento y el desarrollo para movilizar a toda la empresa.

Tu rol y contribución

Actualmente, desde nuestro equipo de Data, Technology & Analytics buscamos un/a Data Engineer que impulse la implementación y el mantenimiento de soluciones de datos escalables que respondan a los desafíos de nuestros clientes y de la organización.

En este rol, tendrás la oportunidad de:

• Desarrollar y mantener la infraestructura de datos de WPP Media.
• Implementar y mantener herramientas de reporting y benchmarking.
• Crear soluciones de reporting a medida para cada cliente.
• Automatizar procesos para garantizar la calidad, escalabilidad y velocidad de los datos.
• Verificar y validar el flujo de datos entre diferentes procesos.
• Desarrollar y automatizar la extracción de datos, principalmente con BigQuery y DBT.
• Mantener una interlocución constante con equipos internos y clientes durante el desarrollo de los proyectos.

¿Qué buscamos en ti?

• Experiencia de al menos 2 años en una posición similar, con conocimientos avanzados en SQL, Google BigQuery y Google Cloud Platform.
• Nivel avanzado en Power BI (modelado de datos, PowerQuery, DAX).
• Experiencia demostrable en entornos de Data Warehousing (Snowflake, Azure, Amazon Redshift).
• Manejo de Python y Git para el control de versiones.
• Nivel de inglés intermedio, necesario para la comunicación con equipos globales.
• Se valorará positivamente el conocimiento o interés en el sector de la publicidad y medios.
• Grado en Ingeniería, Matemáticas, Física, Estadística o un campo similar.

Vida en WPP Media y beneficios

En WPP Media, invertimos en nuestra gente, impulsando tu crecimiento profesional con la misma pasión con la que lideramos la inversión responsable en medios. Formar parte de nuestro equipo significa acceder a una red global de conocimiento y oportunidades, donde podrás expandir tus horizontes y estar siempre a la vanguardia del sector. Además de un entorno de trabajo dinámico y desafiante, en WPP Media nos preocupamos por tu bienestar y equilibrio. Por ello, ofrecemos un paquete de beneficios pensado para ti:

• Flexibilidad: Disfruta de un modelo híbrido de teletrabajo en Madrid, complementado con flexibilidad horaria en la entrada y salida.
• Bienestar y ventajas: Accede a un plan de Retribución Flexible que se adapta a tus necesidades, subvención del menú diario y café y fruta en la oficina.
• Cuidado personal: Fomentamos tu salud y bienestar con clases de Yoga/Pilates y la posibilidad de sesiones de fisioterapia.

Próximos pasos

Si te identificas con esta oportunidad y quieres formar parte de WPP Media, ¡nos encantaría conocerte!. Envíanos tu candidatura y, si tu perfil encaja con lo que buscamos, nos pondremos en contacto contigo. Para cualquier duda, puedes contactar con nosotros en talentacquisition.spain@wppmedia.com.

WPP Media ofrece igualdad de oportunidades y considera las candidaturas para todos los puestos sin distinción de raza, color, sexo, identidad de género, orientación sexual, religión, nacionalidad, embarazo, nacimiento de un hijo/a, condiciones médicas o discapacidad.

Para obtener más información sobre cómo procesamos la información que nos proporcionas consulta nuestra Política de Privacidad (https://www.wppmedia.com/pages/privacy-policy).

The Role

At Super technologies, data isn’t a support function, it’s at the heart of every major decision we make. As a Senior Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products.

This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it.

What You’ll Do

• Be the Decision Engine: Run deep-dive analyses into customer behaviour, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon.
• Shape Strategy with Data: Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions.
• Automate Intelligence: Build scalable dashboards, reporting systems, and data tools that enable teams across Superbet to make smarter, faster, data-driven decisions.
• Partner Across the Business: Collaborate with Product Managers, Commercial leaders, Engineers, Designers, and Marketers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions.
• Tackle Ambiguity: Superbet moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems.

What We’re Looking For

• Technical Mastery: SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical/ML methods and bringing them to life in dashboards (we use Tableau).
• Data Storytelling: You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making.
• Commercial & Product Acumen: You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior.
• Bias for Impact: You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle.
• Proven Track Record: Previous experience in analytics and/or product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth.
• Education: Degree in Data Science, Statistics, Economics, Computer Science/Engg., Mathematics, or a related quantitative field OR equivalent work experience.
• Years of Experience: We are hiring for roles with at least 2+ years of relevant experience.

Why Join Us?

• High Impact
  • Your datasets will be used daily by teams making product decisions, running experiments, and driving performance.
• Real Scale, Real Problems
  • Handle serious data volumes. We’re talking millions of events per day, multiple sources, and zero fluff.
• Freedom to Shape
  • Influence our data architecture, tooling, and best practices. You're not just implementing—you’re building.
• Solid Benefits
  • Competitive compensation & performance-based bonuses
  • Open vacation policy & hybrid work flexibility
  • Health support, wellness perks & team social budget

The Role

At Super technologies, data isn’t a support function, it’s at the heart of every major decision we make. As a Senior Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products.

This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it.

What You’ll Do

• Be the Decision Engine: Run deep-dive analyses into customer behaviour, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon.
• Shape Strategy with Data: Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions.
• Automate Intelligence: Build scalable dashboards, reporting systems, and data tools that enable teams across Superbet to make smarter, faster, data-driven decisions.
• Partner Across the Business: Collaborate with Product Managers, Commercial leaders, Engineers, Designers, and Marketers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions.
• Tackle Ambiguity: Superbet moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems.

What We’re Looking For

• Technical Mastery: SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical/ML methods and bringing them to life in dashboards (we use Tableau).
• Data Storytelling: You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making.
• Commercial & Product Acumen: You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior.
• Bias for Impact: You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle.
• Proven Track Record: Previous experience in analytics and/or product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth.
• Education: Degree in Data Science, Statistics, Economics, Computer Science/Engg., Mathematics, or a related quantitative field OR equivalent work experience.
• Years of Experience: We are hiring for roles with at least 2+ years of relevant experience.

Why Join Us?

• High Impact
  • Your datasets will be used daily by teams making product decisions, running experiments, and driving performance.
• Real Scale, Real Problems
  • Handle serious data volumes. We’re talking millions of events per day, multiple sources, and zero fluff.
• Freedom to Shape
  • Influence our data architecture, tooling, and best practices. You're not just implementing—you’re building.
• Solid Benefits
  • Competitive compensation & performance-based bonuses
  • Open vacation policy & hybrid work flexibility
  • Health support, wellness perks & team social budget

The Role

At Super technologies, data isn’t a support function, it’s at the heart of every major decision we make. As a Senior Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products.

This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it.

What You’ll Do

• Be the Decision Engine: Run deep-dive analyses into customer behaviour, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon.
• Shape Strategy with Data: Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions.
• Automate Intelligence: Build scalable dashboards, reporting systems, and data tools that enable teams across Superbet to make smarter, faster, data-driven decisions.
• Partner Across the Business: Collaborate with Product Managers, Commercial leaders, Engineers, Designers, and Marketers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions.
• Tackle Ambiguity: Superbet moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems.

What We’re Looking For

• Technical Mastery: SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical/ML methods and bringing them to life in dashboards (we use Tableau).
• Data Storytelling: You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making.
• Commercial & Product Acumen: You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior.
• Bias for Impact: You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle.
• Proven Track Record: Previous experience in analytics and/or product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth.
• Education: Degree in Data Science, Statistics, Economics, Computer Science/Engg., Mathematics, or a related quantitative field OR equivalent work experience.
• Years of Experience: We are hiring for roles with at least 2+ years of relevant experience.

Why Join Us?

• High Impact
  • Your datasets will be used daily by teams making product decisions, running experiments, and driving performance.
• Real Scale, Real Problems
  • Handle serious data volumes. We’re talking millions of events per day, multiple sources, and zero fluff.
• Freedom to Shape
  • Influence our data architecture, tooling, and best practices. You're not just implementing—you’re building.
• Solid Benefits
  • Competitive compensation & performance-based bonuses
  • Open vacation policy & hybrid work flexibility
  • Health support, wellness perks & team social budget

Are you excited about building modern data infrastructure that empowers self-service analytics at scale? At Super Technologies, data is a strategic enabler of decision-making, experimentation, and performance measurement. Our Analytics Platform team builds the foundations that make data reliable, accessible, and actionable—partnering with product and business teams to measure what matters.
You’ll be joining a mature and growing community of 40+ data engineers who are shaping one of the most advanced data ecosystems in the industry.

What you'll be doing:

• design, build, and optimize scalable ETL/ELT pipelines for high-volume, fast-changing datasets
• apply proven data warehouse methodologies (e.g. Kimball, Inmon) to design and deliver trustworthy, performant data models
• develop and maintain semantic layers and curated data marts to enable analytical self-service across the company
• orchestrate reliable workflows with modern tooling such as Apache Airflow
• enforce data quality, lineage, and observability practices to ensure confidence in our data products
• partner with product, analytics, and engineering teams to co-create scalable data solutions that deliver measurable business value
• raise the engineering bar through code reviews, testing, automation, and architectural improvements

We're looking for:

• strong SQL and Python skills, with solid understanding of distributed data systems and modern data architectures
• deep knowledge of dimensional data modeling (Kimball, Inmon) and hands-on experience building analytical layers in DWHs such as Snowflake or BigQuery
• hands-on experience with cloud platforms (AWS preferred, Azure/GCP also valuable)
• workflow orchestration experience with Airflow or similar tools
• strong ownership mindset—able to work independently, structure work, and partner effectively with technical and non-technical stakeholders
• excellent communication skills with a collaborative, problem-solving approach
• based in Zagreb as this will require hybrid work

Bonus points for:

• experience with real-time streaming technologies (Kafka or similar)
• experience with cloud native Analytical databases like Snowflake
• multi-cloud exposure and understanding of platform trade-offs
• background in product-led or experimentation-driven environments
• experience with data governance, cataloging, and documentation practices (e.g. DataHub)

We’re looking for a Senior Product Manager with a passion for mobile games and a proven track record of creating and delivering engaging, commercially successful gaming content. You’ll own the product vision and roadmap for the Content Creation product area, leading cross-functional game studios to drive growth, retention, and monetisation.

As a senior voice in the product team, you’ll balance player delight with commercial performance - turning insights into actions and ensuring our games remain fun, fresh, competitive, safe and compliant.

What we’re looking for:

• 5+ years of product management experience, with at least 2 years in mobile or iGaming games development.
• Visionary and strategic leader with a hands-on approach, known for ambitious thinking and natural problem-solving.
• Proven track record of leading cross-functional game studios, aligning on goals, timelines, and deliverables.
• Strong analytical mindset, with experience using tools like Tableau, Looker, Amplitude, or similar.
• Deep understanding of game mechanics, player behaviour/psychology, live ops, and engagement strategies.
• Passionate about games - you play them, understand the market, and have sharp insights on what makes a game great.
• Comfortable operating in fast-paced, agile environments.
• Proactive and curious, with strong attention to detail and a willingness to learn.
• Excellent communication skills, able to coordinate across teams and serve as a central point of contact for stakeholders.
• Bonus: Experience scaling game studios, regulatory/compliance, balancing game economies, or launching titles globally.

What you’ll be doing:

• Define and execute the product strategy and roadmap, prioritising high-impact initiatives for in-house gaming content to drive key outcomes and achieve OKRs.
• Own and optimise core KPIs, including DAU, LTV, retention, and monetisation performance.
• Communicate product vision and performance to senior leadership, ensuring cross-departmental alignment and facilitating stakeholder input on the content strategy.
• Lead cross-functional squads - including designers, engineers, QA, artists, and analysts - to deliver games and features that enhance both player experience and commercial outcomes.
• Drive GTM, Live Ops, and marketing initiatives, leveraging high-trust relationships with local market stakeholders to ensure regional relevance and optimal product-market fit.
• Define a hypothesis-driven development process, partnering with Research and Experimentation teams to validate concepts via rigorous data analysis, using multiple research methods, before committing resources.
• Translate user research, data analytics, and market trends into actionable product opportunities and strategic insights.
• Lead the Product Development Lifecycle, acting as a primary escalation point to mitigate risks and remove technical or operational blockers.
• Champion a player-centric culture while maintaining a rigorous focus on achieving overarching business objectives, including active involvement in product UAT.
• Mentor and manage other Product Managers, fostering professional growth and establishing departmental best practices.
• Manage the product backlog and author comprehensive PRDs, ensuring all development work is ruthlessly prioritised based on validated hypotheses, player value, and projected ROI.
• Perform deep-dive performance analysis using SQL (Snowflake) and BI dashboards to identify and execute on-game optimisation opportunities.

The Role

At Super technologies, data isn’t a support function, it’s at the heart of every major decision we make. As a Senior Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products.

This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it.

What You’ll Do

• Be the Decision Engine: Run deep-dive analyses into customer behaviour, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon.
• Shape Strategy with Data: Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions.
• Automate Intelligence: Build scalable dashboards, reporting systems, and data tools that enable teams across Superbet to make smarter, faster, data-driven decisions.
• Partner Across the Business: Collaborate with Product Managers, Commercial leaders, Engineers, Designers, and Marketers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions.
• Tackle Ambiguity: Superbet moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems.

What We’re Looking For

• Technical Mastery: SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical/ML methods and bringing them to life in dashboards (we use Tableau).
• Data Storytelling: You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making.
• Commercial & Product Acumen: You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior.
• Bias for Impact: You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle.
• Proven Track Record: Previous experience in analytics and/or product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth.
• Education: Degree in Data Science, Statistics, Economics, Computer Science/Engg., Mathematics, or a related quantitative field OR equivalent work experience.
• Years of Experience: We are hiring for roles with at least 2+ years of relevant experience.

Why Join Us?

• High Impact
  • Your datasets will be used daily by teams making product decisions, running experiments, and driving performance.
• Real Scale, Real Problems
  • Handle serious data volumes. We’re talking millions of events per day, multiple sources, and zero fluff.
• Freedom to Shape
  • Influence our data architecture, tooling, and best practices. You're not just implementing—you’re building.
• Solid Benefits
  • Competitive compensation & performance-based bonuses
  • Open vacation policy & hybrid work flexibility
  • Health support, wellness perks & team social budget

Are you excited about building modern data infrastructure that empowers self-service analytics at scale? At Super Technologies, data is a strategic enabler of decision-making, experimentation, and performance measurement. Our Analytics Platform team builds the foundations that make data reliable, accessible, and actionable—partnering with product and business teams to measure what matters.
You’ll be joining a mature and growing community of 40+ data engineers who are shaping one of the most advanced data ecosystems in the industry.

What you'll be doing:

• design, build, and optimize scalable ETL/ELT pipelines for high-volume, fast-changing datasets
• apply proven data warehouse methodologies (e.g. Kimball, Inmon) to design and deliver trustworthy, performant data models
• develop and maintain semantic layers and curated data marts to enable analytical self-service across the company
• orchestrate reliable workflows with modern tooling such as Apache Airflow
• enforce data quality, lineage, and observability practices to ensure confidence in our data products
• partner with product, analytics, and engineering teams to co-create scalable data solutions that deliver measurable business value
• raise the engineering bar through code reviews, testing, automation, and architectural improvements

We're looking for:

• strong SQL and Python skills, with solid understanding of distributed data systems and modern data architectures
• deep knowledge of dimensional data modeling (Kimball, Inmon) and hands-on experience building analytical layers in DWHs such as Snowflake or BigQuery
• hands-on experience with cloud platforms (AWS preferred, Azure/GCP also valuable)
• workflow orchestration experience with Airflow or similar tools
• strong ownership mindset—able to work independently, structure work, and partner effectively with technical and non-technical stakeholders
• excellent communication skills with a collaborative, problem-solving approach
• based in Madrid or surrounding area as this will require hybrid work

Bonus points for:

• experience with real-time streaming technologies (Kafka or similar)
• experience with cloud native Analytical databases like Snowflake
• multi-cloud exposure and understanding of platform trade-offs
• background in product-led or experimentation-driven environments
• experience with data governance, cataloging, and documentation practices (e.g. DataHub)

Join our Movement and Champion Restaurant Culture! 💚

At TheFork we believe that the best things in life happen around the table.
As the leading restaurant booking platform in Europe, we connect the broadest community of loyal diners with the world’s favorite restaurants. Powered by innovation and a deep passion for the restaurant industry, we create unique dining experiences across 11 countries.

We’re part of the Tripadvisor Group and proud to be building a diverse, people-first culture where “respect”, “ownership”, “growth” and “better together” values thrive.
If you’re passionate about food, technology, and making a real impact, your seat at the table is ready.

👉 Discover life at TheFork

What you will do: 

We are looking for a Senior Data Engineer to join our Core Data team and play a key role in transforming TheFork’s data capabilities through the implementation of a modern, self-service Data Platform (DPaaS).

In this role, you will not only build scalable, production-grade data pipelines, but also contribute to designing and evolving the platform that enables domain teams to autonomously produce and consume trusted data products.

You will apply strong software engineering principles to data engineering, help define governance standards, and actively contribute to shifting our organisation from a centralised BI model to a federated, domain-oriented data ecosystem.

You will report directly to the Senior Data Engineering Manager and work in close collaboration with:

• DataOps team: who own the Data Platform infrastructure
• Architects: to ensure technical decisions align with enterprise architecture
• BI teams, Engineering teams and Data Science teams: who are the main consumers of the platform

Key Responsibilities

Technical Leadership & Delivery

• Design and implement scalable, production-grade data pipelines following strong software engineering practices (version control, CI/CD, automated testing, observability).
• Lead the evolution of orchestration patterns in Airflow to improve scalability, reliability, and maintainability.
• Drive technical POCs to evaluate new tools, architectural patterns, and performance improvements aligned with the platform roadmap.
• Contribute to shaping and validating the target data architecture in collaboration with Architects, Staff Engineers, and DataOps.
• Proactively identify system weaknesses and design for failure, defining mitigation strategies and resilience patterns.

Data Governance & Quality

• Implement and enforce data contracts and quality controls aligned with defined SLOs.
• Apply data modeling best practices including medallion architecture to create trusted, reusable data assets
• Contribute to establishing domain ownership principles and clear single sources of truth.
• Ensure lineage, metadata, and observability mechanisms are embedded by design in all pipelines.

Enablement & Collaboration

• Drive technical alignment across teams through clear documentation, standards, and mentoring.
• Partner with DataOps to ensure infrastructure, CI/CD, and platform automation at scale.
• Actively support product and engineering teams in adopting the platform, with a strong focus on developer experience.
• Build cross-functional relationships to accelerate adoption and drive platform impact.

Technical Expertise

You Must Meet These Critical Qualifications 

Minimum 6 years of data engineering experience, including significant exposure to production-grade data platforms and cross-team leadership.

Data Platform & Architecture

• Deep hands-on experience with a modern cloud lakehouse in production-grade environments (e.g. Snowflake, Databricks, …).
• Strong expertise in analytical data modeling (including medallion architecture) and safe schema evolution.
• Proven experience designing scalable, incremental ELT pipelines.
• Strong understanding of MPP systems and distributed data processing principles.

Performance & Cost Optimization

• Experience optimizing query performance and compute cost in cloud data warehouses.
• Cost-aware design mindset.

Orchestration & Data Integration

• Advanced proven experience with Airflow, including scalable DAG design, dependency management, and failure handling strategies.
• Strong experience designing and operating production-grade ELT pipelines using modern integration tools (e.g. Airbyte or similar) or custom ingestion frameworks.
• Experience designing self-service data platform capabilities is a strong plus.

Cloud & Infrastructure Engineering

• Strong experience with AWS-based data architectures (S3, IAM, networking fundamentals).
• Hands-on experience with Infrastructure as Code (e.g. Terraform).
• Experience implementing CI/CD pipelines for data workflows.
• Understanding of security-by-design principles in cloud data environments.

Data Quality, Governance & Observability

• Experience implementing data quality frameworks, data contracts, and validation strategies.
• Strong understanding of metadata management, lineage tracking, and monitoring practices.
• Experience embedding observability and reliability into pipelines (alerting, SLOs, incident response mindset).

Execution & Autonomy

• Lead initiatives end-to-end, from problem framing to production rollout, with high autonomy.
• Structure complex technical problems into actionable plans and manage cross-team dependencies.
• Make informed architectural trade-offs balancing scalability, cost, reliability, and time-to-market.
• Take ownership of platform stability and continuously improve operational excellence.
• Mentor and help other engineers grow through technical guidance and feedback.

What we offer you:

😄 An awesome team 

🏠 A permanent contract (that can be useful in life) 

⚖️Flexible working environment (2 days home office per week +  up to 4 total weeks additional flexibility during the summer period and in December to work fully remotely)

💸 Competitive fixed salary and bonus 

🍕 Lunch vouchers available for each working day (because yes, we like to try our best restaurants)  

🌎 International teams and a multicultural environment spanning 10 offices across Europe

🤝 Highly inclusive working environment 

🤸‍♀️ Lifestyle benefits that can be used to reimburse expenses related to physical and leisure activities, family support, travel etc 

🎓 Continuous learning and development programs

😌 Free access to the Calm app to help you build resilience wherever you are in your mental health journey

🐣Dedicated parental leave and caregiver leave policies (12 weeks fully paid)

🏥Health insurance

👩‍🦽 Life & Disability Insurance at no cost to the employee

🍴 Amazing offices with dining, coffee points and leisure area    

🎤 Team building events

All hiring happens through our careers site and official email. We do not text or ask for payment during the hiring process. Please report any suspicious messages immediately.

We believe that we are better together, and we welcome you for who you are. We endeavor to ensure  that everyone - regardless of ability, age, socio-economic & cultural background, ethnicity, faith, gender, gender expression, gender identity, ideology, national origin, race, sexual orientation, marital status, or any characteristic protected under  applicable law -has the opportunity to reach their full potential. At TheFork, we want you to bring us your unique perspectives and experiences, so we can collectively continue disrupting the restaurant industry and go from good to great.

TheFork is committed to a fair recruitment process. If you have special needs and require reasonable support during your application,  interview, or participation in the selection process due to health conditions or disability, please direct your inquiries to AccessibleRecruitment@TheFork.com. Our HR team will review the request and respond accordingly.

#LI-FF1

❗️Please note that this role is office based for Valencia, Spain (RAS Valencia - Servicios Profesionales de Recursos Humanos).

❗️If you need to be relocated, we take care of the process.

We are seeking a skilled and detail-oriented Senior BI Developer to join our team. The BI Developer will be responsible for designing, developing, and maintaining business intelligence solutions.

✅ Responsibilities:

• Requirements: Collaborate with other Data teams to understand business requirements and translate them into technical specifications;
• Development: Design and develop reports, dashboards, and visualizations using BI tools (Power BI);
• Modelling: Develop and maintain complex data models, catering for generic BI reporting requirements;
• Data Security: Implement row or user based security models;
• Data Validation: Ensure the accuracy and consistency of data through regular validation checks and audits;
• Ad-Hoc Reporting: Create ad-hoc reports based on specific business needs;
• Technical Support: Provide ongoing support and troubleshooting for BI tools and reports, ensuring minimal downtime and quick resolution of issues;
• System Performance: Monitor the performance of BI systems and reports, ensuring they meet the required standards and performance metrics;
• Documentation: Maintain comprehensive documentation of BI solutions, including technical specifications, data models, dashboards.

✅ Requirements:

• 3+ years experience as a BI Developer or similar role;
• Experience with SQL is a must;
• Experience with PowerBI is a must;
• Strong analytical and problem-solving skills;
• Excellent communication and interpersonal skills;
• Ability to work independently and as part of a team;
• Experience with data warehousing solutions like Snowflake, Redshift, or similar.