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 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.    

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
● 📍 Belgium - Ghent
● 🕜 Full-Time/Hybrid

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.
• Career development: Workshops, frameworks, and trainings to maximize your professional potential.
• Impactful work: Shape products relied on by 85,000+ users worldwide.
• Mobility options: Mobility budget or company car (based on your job category).
• Net allowance: Support for home office related expenses.
• Vouchers: Lunch vouchers & Eco vouchers.
• Comprehensive health insurance: Extensive coverage for you and your dependents.
• Pension funding: Group insurance to secure your future.
• 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 - 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 - 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
● 🕜 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!

• 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!

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!  

• 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 

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

WHO WE ARE 🌍

We help creators get more out of every conversation with Instagram-focused automations and support for other channels like Messenger, WhatsApp, and TikTok. The result? Better engagement, more sales, and real, sustainable growth.

With a diverse team of 350+ people across three continents, we’re building the leading Chat Marketing platform — trusted by more than 1.5 million customers worldwide.

AI is one of our top strategic priorities. We’re building intelligent, production-grade systems that power conversations at scale — and we’re just getting started.

WHO WE'RE LOOKING FOR 🌟

We’re hiring a Senior Python Engineer to join our Data Product Team and help power the analytics behind Manychat’s growth.

You’ll work on a high-load, near real-time platform that transforms large volumes of platform data into personalized insights seen by millions of users. The features you build will directly impact activation, retention, and revenue.

As part of a small, high-impact team, you'll own the data platform end to end, including data warehouse and ManyChat platform integrations, high-load APIs, and data aggregation pipelines. You’ll help scale performance, evolve our architecture, and influence Python engineering standards across the company.

If you care about building scalable systems, working close to the product, and seeing measurable business impact from your code, this role is for you.

WHAT YOU'LL DO 🚀

• Build and maintain data platform that power Manychat’s analytics and insights features
• Design and implement async APIs using Python and FastAPI
• Develop and optimize ETL flows that transfer data from DWH (Snowflake) into PostgreSQL for fast and reliable access
• Design caching strategies using Redis to balance performance and data freshness
• Improve system reliability, observability, and performance under high load
• Collaborate closely with product teams across the entire product organization, partnering with all major product domains to deliver data and insights that power key user experiences
• Contribute to architectural decisions as the platform evolves toward more event-driven patterns
• Own features end to end from data modeling and API design to deployment and monitoring
• Help establish engineering best practices for Python services across Manychat

TO SHINE IN THIS ROLE 💥

You’ll need:

• 5+ years of software engineering experience, including 3+ years of deep, hands-on Python expertise. Strong background in designing and building scalable, high-load, production-grade systems with extensive use of asynchronous programming
• Hands-on experience designing and building REST APIs with FastAPI or a similar async framework
• Strong knowledge of relational databases and SQL, preferably PostgreSQL, including query optimization and performance tuning
• Experience working with caching (Redis/Valkey or similar), with a solid understanding of cache invalidation strategies
• Proven ownership of services end to end, including CI/CD pipelines, production deployments, monitoring, and ongoing performance improvements
• Strong understanding of system design and scalable architecture principles, with the ability to reason about reliability, consistency, and data freshness
• Experience collaborating cross-functionally with product and engineering teams and delivering user-facing product features in fast-paced environments
• Clear communication skills and the ability to explain technical tradeoffs while maintaining a high bar for code quality, testing, and maintainability

It would be great if you have:

• Experience building data platforms or analytics products
• Hands-on experience with Snowflake, ClickHouse, or other OLAP dbs
• Familiarity with event-driven architecture patterns
• Experience with Kubernetes, Docker, Helm, Terraform, and AWS
• Experience with observability tools such as Prometheus, Grafana, and OpenTelemetry
• Exposure to AI or machine learning driven product features
• Interest in growing into a Technical Lead role as the team expands

WHAT WE OFFER 🤗

We care deeply about your growth, well-being, and comfort:

• 🌍 Hybrid onboarding to start remotely and relocation support for you and your family.
• 💙 Comprehensive health insurance for you and your family.
• 📚 Professional development budget for conferences, courses, and learning resources.
• 🫶 Flexible benefits package tailored to your priorities.
• 🪴 Hybrid work and generous leave options for work-life balance.
• 🍽️ In-office perks including free meals and snacks.
• 🤝 Company-funded sports activities, annual offsites, and team-building events.

Manychat is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.

This commitment is also reflected through our candidate experience. If you have individual needs that may require an accommodation during the interview process, please indicate this in your application. We will do our best to provide assistance throughout your interview process to ensure you’re set up for success.

With my application, I accept the Manychat Privacy Policy.

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