• Lead a team of Engineers, setting clear expectations and providing continuous feedback, coaching, and mentoring to ensure success and growth
• Working closely with feature owners, economy, liveops and other development teams to implement feature simulations and technological pipelines for Monopoly GO!
• Driving the implementation of systems that transform raw game data into analytical datasets for simulation and evaluation
• Ensuring technical performance is “Best-in-Class” throughout development
• Writing automated, high-quality tests (unit, integration, load, etc.) and working with QA teams to improve gameplay experience, curtail exploits and ensure that everything works smoothly
• Reviewing Technical Design Documents and provide feedback and guidance to other engineers
• Collaborating and communicating with cross-functional departments including: economy, liveops, qa, etc.
• Participating in a strong engineering team and culture
• Live game support & troubleshooting
• Contributing to technical plans and discussing the workflows and requirements with stakeholders
• Implementing tools to empower our liveops and game design teams in the creation of new and exciting game-play experiences
• Explore AI-assisted tools (LLMs, copilots, automation frameworks) to improve productivity, enhance analysis depth, and accelerate iteration cycles

• 6+ years as part of a professional game development team or other relevant area
• Experience managing people, driving 1:1s and performance reviews, doing follow ups and providing regular feedback to direct reports
• Experience driving and leading the technical execution of complex and interdisciplinary developments
• Mastery of C#, Python or another OO language, including experience with asynchronous and multi-threaded programming paradigms
• Hands-on experience with cloud computing (AWS, GCP...) and low-latency, high-scale distributed systems
• Strong computer science and engineering fundamentals (data structures, concurrency, design patterns, algorithms)
• Strong understanding of game framework architecture at scale, maintainability over time, robust API design, etc.
• Strong knowledge of application design best patterns and practices; understanding of maintainability concerns when designing and implementing applications
• Enjoy solving complex technical problems, especially in large systems
• Willingness to learn and work with new technologies
• You’re a great tech communicator who knows how to share knowledge with non-technical people
• You have a desire to seek out and take on user feedback to drive world class application development
• A passion for games

• Experience building your own games as personal projects or game jams
• Experience with AWS, Docker, Kibana, Ansible
• Experience with automated testing
• Solid experience with SQL and at least one data warehouse (BigQuery preferred)
• Knowledge of probability, applied statistics, and simulation techniques
• Experience with distributed processing tools: Spark, PySpark, or alternatives
• Experience building ETL/ELT pipelines using Airflow, DBT, or similar frameworks
• Experience in gaming, monetization, or game economy
• Familiarity with gameplay logic or LiveOps systems
• Experience developing internal libraries or tools for non-technical teams
• Curiosity for experimenting with AI systems to extend capabilities of existing pipelines or prototype new evaluation methods

At Scopely, we believe in creating a supportive work environment where everyone is treated with respect and inclusivity. We welcome individuals from all backgrounds and are committed to providing equal employment opportunities regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other protected status.

Role:   Regional Digital Project Manager

Location: Spain

About the role: 

Join our dynamic team as a Regional Digital Project Manager, where you'll be integral to delivering website, email and push content across multiple languages for our largest fashion client, based in Chile. 

As Regional Digital Project Manager, you’ll be accountable & responsible for all the regional client communication for content delivery. You will liaise with the client’s team to accurately forecast, produce, and deliver the content across multiple channels (AEM, Push, Email) as per the defined SLA.  

You’ll be responsible for leading the region to manage & deliver campaigns along with the Web Content Manager and off-site Digital Project Manager. You’ll act as a Primary Contact for all the regional clients to set up regional processes and improvements in AEM workstream. Excellent communication and attention to detail is required to deliver to the highest standards.  

What you will be doing: 

• Serving as the primary point of contact and digital expert for clients throughout the lifecycle of a digital project is a key responsibility.  

• Responsible for managing digital projects across the AEM workstream; from initial briefing to final delivery. 

• Effectively managing the team to successfully deliver email marketing and website content deliverables. 

• Developing and nurturing strong client relationships through transparent communication and the establishment of trust is paramount.  

• Follow and implement best practice production processes established within OLIVER, fostering collaboration with the client on-site to optimize operational efficiency. 

• Efficient planning and scheduling of projects are essential to ensure optimal resource utilization. 

• Regular communication of project status, both internally and externally, in accordance with agreed-upon account processes. 

• Produce estimates and timelines and measure progress of projects against those throughout the workflow. 

• Be able to verify the qualitative and quantitative output of a project against the project objectives. 

• Proactively identifying and addressing potential issues at the onset of a project, while also managing and mitigating project risks, are critical functions.  

• Support the business to develop technical excellence by suggesting improvements to bring efficiency in the way or working and processes.  

• Fostering a collaborative and motivational environment to ensure team members remain focused on delivering high-quality work and feel supported is essential. 

• Ensure administration tasks are maintained to the same high standard as the rest of your work. 

• Ensuring accurate timekeeping and project status updates for both oneself and the team within MPC to facilitate data reporting for the client & Account Lead. 

What you need to be great in this role: 

• Excellent communication & Attention to detail 

• 5+ years' experience managing digital projects from initial briefing to delivery.  

• Competent user of Microsoft Office software including Word, Excel, PowerPoint 

• Experience in Site Content Publishing and Creation is a plus 

• Good understanding of CMS and Emailers.  

• Handson experience working on PM tools like JIRA, Terllo, etc 

• Good understanding of project finances – estimating, timings, costs and invoicing. 

Req ID: 17357

#LI-MR1 #LI-HYBRID #LI-MIDSENIOR

Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives

We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.

Unicorn momentum

In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

About the role

Throughput. Latency. KV cache utilization.

Move those three numbers in the right direction, and two things happen: customers get faster, cheaper inference, and our margins improve. That's the entire thesis of this role. Every kernel you tune, every quantization scheme you ship, every scheduler tweak you land shows up directly in a customer's p99 and on our P&L.
This is a high-impact seat. It is also a high-autonomy seat as you'll be given the room to lead the technical direction of inference optimization at Kimchi, not execute someone else's roadmap.

The problem: running LLMs in production is a moving target. The "right" model and serving configuration for a workload depend on traffic shape, sequence-length distribution, batch dynamics, GPU SKU, memory bandwidth, quantization tolerance, and a dozen other variables that shift week to week. Most teams pick a model once, over-provision GPUs, and absorb the cost. Kimchi is the system that makes that decision automatically - continuously matching workloads to the most cost-efficient, best-performing LLM and serving configuration on a customer's infrastructure. We're building the optimization layer between the model and the hardware, and we need engineers who understand both sides deeply.

Stack

Python; vLLM; SGLang; TensorRT-LLM; PyTorch; CUDA-adjacent tooling; Kubernetes; gRP; ClickHouse; PostgreSQL; GCP Pub/Sub; AWS / GCP / Azure; GitLab CI; ArgoCD; Prometheus; Grafana; Loki; Tempo.

Requirements:

• 5+ years building real ML systems, with a portfolio that shows depth in inference or training infrastructure (not just model training notebooks).
• Strong Python - production services, not scripts.
• Hands-on experience with at least one of vLLM, SGLang, or TensorRT-LLM, and a working mental model of why an inference engine performs the way it does on a given GPU.
• Fluency with quantization tradeoffs - you've measured quality regressions, not just compression ratios.
• Comfort with distributed systems: collective communication, sharding strategies, and the practical failure modes of multi-GPU and multi-node setups.
• A bias toward measurement. You instrument before you optimize, and you can tell the difference between a real win and a benchmark artifact.
• Self-direction. This role comes with a wide mandate; you should be excited by that, not unsettled by it.

Responsibilities:

• Push throughput. Continuous batching, speculative decoding, chunked prefill, kernel-level tuning across vLLM, SGLang, and TensorRT-LLM. Find the ceiling on each GPU SKU, then raise it.
• Cut latency. Attack TTFT and TPOT separately. Profile, identify the actual bottleneck (compute, memory bandwidth, scheduling, networking), and fix it - not the bottleneck you assumed.
• Get more out of the KV cache. Paged attention, prefix caching, eviction policies, cache reuse across requests, quantized KV. This is where a lot of the unrealized throughput lives, and it's an area you'll own.
• Quantize without regressing quality. INT8, INT4, FP8 across weights, activations, and KV. Empirical work: measure quality on real workloads, not just perplexity benchmarks.
• Shrink cold starts and memory footprint. Faster init, smarter weight loading, tighter memory accounting - the difference between a model that scales and one that doesn't.
• Scale across nodes. Distributed inference topologies, network-aware placement, checkpointing strategies that don't bottleneck on storage or interconnect.
• Set the technical direction. Decide what we benchmark, what we adopt, and what we build ourselves. Bring the team along with strong writeups and reproducible experiments.

What’s in it for you?

• Competitive salary (depending on the level of experience).
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

Hiring process

• Screening call with Recruiter
• Hiring Manager interview
• Technical interview (system design)
• Live coding
• Culture Check interview with an executive

As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

The Data Science team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection, error outliers and faulty deployment analysis. As a Software Engineer on the Data Science team, you will design, build and scale the backend systems that power our growing suite of Watchdog products. You will be working on large-scale distributed systems, horizontally-scalable datastores and a variety of data-processing frameworks to build our next-generation platform and capabilities for Data Science at Datadog. 

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do: 

• Build common services and components encapsulating data science capabilities for other products and teams to leverage
• Enable new capabilities for our core products by integrating and preprocessing data from tens of sources and preparing it for incorporation into data science models
• Ensure that our data science-driven features continue to scale well as Datadog adds more customers and ingests more data per customer
• Leverage modern tools and frameworks to improve the performance and cost-efficiency of data science services
• Join an amazing team of data scientists and software engineers building a product that our customers love to use
• Work all over the stack, moving fluidly between programming languages and technologies
  

Who You Are: 

• You have experience working in Python, Java, Scala or Go 
• You have experience working with microservices and/or distributed systems
• You value simplicity and getting the right things done
• (Senior Level) You have built high-volume data pipelines
• (Senior Level) You have expertise in Python, Go or Scala and are familiar with Spark or Flink
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. 

Benefits and Growth: 

• Competitive global benefits 
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris
• Opportunity to attend and present at conferences and meetups
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-ER1

#LI-Hybrid

As a Data Analyst, you are expected to be a technical reference regarding data analysis and DataOps practices within the specialty—resolving questions, sharing knowledge, driving process improvements, and staying aligned with industry trends.
If you are a person with a disability and have doubts about whether you can apply, please know that all our job openings are also open to people with disabilities. We look forward to receiving your application!

Responsabilities

As a Data Analyst, your responsibilities will include:

• Creating, making available, evolving, and maintaining data products based on our clients’ business needs; designing, creating, and improving dashboards and custom scripts for advanced data analysis and business KPI monitoring.

• Contributing to discussions on data storage and data pipelines to support advanced analytical reporting, as well as data analysis and exploration, using various data and visualization technologies.

• Working closely with analytics engineers and data product managers to identify process improvements and align these changes with team practices.

• Collaborating with stakeholders by providing guidance, data, and analytical support for the development of new analyses and tools that support strategic initiatives.

• Suggesting/Collaborating/Developing and facilitating initiatives with the data governance team to ensure data integrity across distributed systems.

• Encouraging and promoting DataOps practices in the development of data products.

• Suggesting/Collaborating/Driving experiments, innovations, and the resolution of complex problems.

• Suggesting/Collaborating/Promoting an analytical and data-driven decision-making culture at Blip through training sessions, workshops, and knowledge transfer related to data analysis products.

• Suggesting/Collaborating/Promoting and disseminating good data governance and data quality practices.

• Sharing knowledge and supporting the outputs produced by the team.

Requirements

What we expect from you:

• Advanced expertise in database concepts/data modeling, strong SQL skills, and proficiency in query performance optimization.

• Proficiency in exploratory data analysis.

• Proficiency in developing Power BI Desktop and Service solutions, focusing on optimization and organization of resources for large-scale use.

• Knowledge of Python and Spark for large-scale data processing.

• Knowledge of GIT technology.

• Proficiency in data visualization and storytelling.

• Experience in statistical modeling.

• Experience with data testing practices.

• Ability to work effectively in a team environment and build partnerships with both technical and business team members.

• Ability to translate technical language for non-technical audiences.

• Strong collaboration, curiosity, communication, leadership, and organizational skills.

It will be a plus if you have:

• Experience using cloud data platforms (Azure, Google Cloud, etc.).

• Experience using DataBricks.

• Knowledge of Machine Learning.

• Previous experience in the conversational industry.

• Client-facing experience.

Type: Contract, per-project.
Location: Remote — within LATAM with ET ±1 hour
Availability: Contractor (40 hours per week)

Job Title: Data / Platform Engineer (AWS & Data Pipelines)

We are looking for a highly motivated Data / Platform Engineer to join our team and help design, build and operate scalable data pipelines and cloud-based solutions.

In this role, you will work closely with engineering and product teams to build both streaming and batch data pipelines, contribute to system design, and help drive automation and monitoring across our data platform.

Key Responsibilities

• Design, build, maintain and primarily operate scalable streaming and batch data pipelines, with a strong focus on maintenance, monitoring, troubleshooting and continuous improvement of existing pipelines.

• Work with AWS services, including Redshift, EMR and ECS, to support data processing and analytics workloads.

• Develop and maintain data workflows using Python and SQL.

• Orchestrate and monitor pipelines using Apache Airflow.

• Build and deploy containerized applications using Docker and Kubernetes.

• Break down high-level system designs into well-defined, deliverable tasks with realistic estimates.

• Collaborate with cross-functional teams in a fast-paced and distributed environment across the US and Europe.

• Drive automation, observability and monitoring to improve reliability, performance and operational efficiency.

• Support knowledge transfer and ownership handover as part of the planned transition to the consuming team.

Required Qualifications

• Strong professional experience with Python and SQL.

• Hands-on experience with AWS, specifically Redshift, EMR and ECS. AWS experience is mandatory (other cloud providers are not considered equivalent for this role).

• Proven experience building and operating both streaming and batch data pipelines.

• Professional experience with Apache Airflow, Docker and Kubernetes.

• Ability to translate high-level system designs into actionable technical tasks and realistic estimates.

• Comfortable working in dynamic and fast-paced environments and in distributed teams.

• Strong interest in automation and monitoring.

• Strong hands-on experience with Apache Spark.

• Senior-level profile with strong autonomy, communication skills and ability to work effectively in distributed teams.

• Proven ability to transfer knowledge and support ownership handovers.

• Fluent or professional working proficiency in English (both written and spoken).

Nice to Have

• Previous experience in the telecom industry.

• Experience with machine learning systems and/or event-driven architectures.

• Experience with Apache Iceberg.
  
  (*) SOUTHWORKS only hires individuals from countries that are not blocked or sanctioned by the United States, including those identified on the United States Office of Foreign Asset Control (OFAC).

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimise operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimised consumer shopping journeys from beginning to end.

Overview

As a Senior Data Engineer, you are a key architect in developing, delivering and maintaining intelligent data infrastructure that powers advanced analytics. You are an experienced data engineer with strong ETL pipeline and dimensional modeling skills, who is ready to leverage AI as a powerful collaborator and brings a depth of knowledge to ensure it is employed effectively for the long-term health of our business systems. You are responsible for building complex data pipelines from the ground up, delivering data into and enhancing a database infrastructure that powers advanced analytics, AI-driven decision-making, and autonomous data operations. You work across the organization, supporting and collaborating with our product teams, engineers, data scientists, and data analysts. In this context, you enhance and support our company’s cloud data architecture to support our products and data initiatives, for external clients as well as internal users.

Responsibilities

Core Data Infrastructure 

• Design and implement scalable ETL/ELT workflows that support both batch and streaming data using AWS primitives (e.g., S3, Kinesis, Glue, Redshift, Athena) 
• Architect and maintain cloud-native data platforms with automated ingestion, transformation, and governance pipelines using modern tools like DBT, Apache Spark, Delta Lake, Airflow, and Databricks 
• Work with stakeholders, including the Product, BI, and Support teams, to assist with data-related technical challenges and support their data and infrastructure needs.
• Collaborate with cross-functional Engineering teams using analytics to predict data needs and proactively deliver solutions. 
• Assist in the optimization of data lake/lakehouse infrastructure, to support AI workloads and large-scale analytics. 

Governance & Collaboration 

• Ensure data quality, lineage, and observability.
• Develop and enforce data governance policies, including compliance monitoring and privacy protection. 
• Partner with Data Scientists to optimize data pipelines for model training, inference, and continuous learning workflows. 

Advanced Data Operations 

• Build self-healing data pipelines with AI-driven error detection, root cause analysis, and automated remediation capabilities. 
• Implement intelligent data lineage tracking to automatically discover relationships between datasets and predict downstream impact of changes. 
• Create AI-assisted data discovery systems that help stakeholders find relevant datasets and understand data semantics through natural language interfaces. 
• Participate in on-call rotation, as needed.

AI-Enhanced Development

• Leverage AI coding assistants (GitHub Copilot, Cursor, etc.) to
• Accelerate development cycles, generate complex SQL queries, and automatically optimize data pipeline code. 
• Develop data quality monitoring, using anomaly detection and data profiling tools to identify issues, before they impact downstream systems. 
• Optimize pipeline orchestration, with ML to predict optimal scheduling, resource allocation, and failure recovery patterns.
• Generate and maintain living documentation that evolves with code changes. 

Leadership & Innovation 

• Participate in the full software development lifecycle, including both manual and AI-assisted requirements gathering, automated testing, and intelligent deployment strategies. 
• Mentor junior engineers on both traditional data engineering practices and effective use of AI development tools. 
• Lead tool evaluation and adoption for the data engineering team, establishing best practices for human-AI collaboration. 
• Drive innovation in data architecture by experimenting with emerging technologies.

Qualifications 

Minimum Qualifications  

• 3+ years of experience in data engineering, including building and maintaining large-scale data pipelines
• Extensive experience in SQL RDBMS (SQLServer or similar) with dimensional modeling using star schema, and foundational data warehousing concepts
• Hands-on experience with AWS services such as Redshift, Athena, S3, Kinesis, Lambda, Glue 
• Experience with DBT, Databricks or similar data platform tooling
• Experience working with structured and unstructured data and implementing data quality frameworks
• Excellent communication and collaboration skills 
• Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, or similar), with understanding of prompt engineering, to enhance development productivity 
• Understanding of AI/ML concepts and data requirements, including feature stores, model versioning, and real-time inference pipelines

Preferred Qualifications 

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Experience in a SaaS or e-commerce environment with AI/ML products
• Knowledge of stream processing frameworks like Kafka, Flink, or Spark Structured Streaming 
• Familiarity with LLMOps and AI model deployment patterns in data infrastructure 
• Experience with AI-powered data tools such as automated data catalogs, intelligent monitoring systems, or AI-assisted query optimization
• Proven ability to thrive in a fast-paced, agile environment with shifting priorities and emerging technologies
• Experience with containerization and orchestration tools like Docker and Kubernetes 

Travel Required

Up to 10%

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What it’s like to work at Rithum 

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will:

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
• Receive industry-competitive compensation and total rewards benefits.

Benefits 

• Medical coverage provided through Irish Life Health; premiums paid by the company 
• Life & disability insurance
• Pension plan with 5% company match
• Competitive time off package with 25 Days of PTO, 11 Company-paid holidays, 2 Wellness days and 1 Paid Volunteer Day 
• Access to tools to support your wellbeing such as the Calm App and an Employee Assistance Program 
• €50/month Remote work stipend for internet
• Professional development stipend and learning and development offerings to help you build the skills and connections you need to move forward in your career. 
• Charitable contribution match per team member  

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimise operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimised consumer shopping journeys from beginning to end.

Overview

As a Senior Data Engineer, you are a key architect in developing, delivering and maintaining intelligent data infrastructure that powers advanced analytics. You are an experienced data engineer with strong ETL pipeline and dimensional modeling skills, who is ready to leverage AI as a powerful collaborator and brings a depth of knowledge to ensure it is employed effectively for the long-term health of our business systems. You are responsible for building complex data pipelines from the ground up, delivering data into and enhancing a database infrastructure that powers advanced analytics, AI-driven decision-making, and autonomous data operations. You work across the organization, supporting and collaborating with our product teams, engineers, data scientists, and data analysts. In this context, you enhance and support our company’s cloud data architecture to support our products and data initiatives, for external clients as well as internal users.

Responsibilities

Core Data Infrastructure 

• Design and implement scalable ETL/ELT workflows that support both batch and streaming data using AWS primitives (e.g., S3, Kinesis, Glue, Redshift, Athena) 
• Architect and maintain cloud-native data platforms with automated ingestion, transformation, and governance pipelines using modern tools like DBT, Apache Spark, Delta Lake, Airflow, and Databricks 
• Work with stakeholders, including the Product, BI, and Support teams, to assist with data-related technical challenges and support their data and infrastructure needs.
• Collaborate with cross-functional Engineering teams using analytics to predict data needs and proactively deliver solutions. 
• Assist in the optimization of data lake/lakehouse infrastructure, to support AI workloads and large-scale analytics. 

Governance & Collaboration 

• Ensure data quality, lineage, and observability.
• Develop and enforce data governance policies, including compliance monitoring and privacy protection. 
• Partner with Data Scientists to optimize data pipelines for model training, inference, and continuous learning workflows. 

Advanced Data Operations 

• Build self-healing data pipelines with AI-driven error detection, root cause analysis, and automated remediation capabilities. 
• Implement intelligent data lineage tracking to automatically discover relationships between datasets and predict downstream impact of changes. 
• Create AI-assisted data discovery systems that help stakeholders find relevant datasets and understand data semantics through natural language interfaces. 
• Participate in on-call rotation, as needed.

AI-Enhanced Development

• Leverage AI coding assistants (GitHub Copilot, Cursor, etc.) to
• Accelerate development cycles, generate complex SQL queries, and automatically optimize data pipeline code. 
• Develop data quality monitoring, using anomaly detection and data profiling tools to identify issues, before they impact downstream systems. 
• Optimize pipeline orchestration, with ML to predict optimal scheduling, resource allocation, and failure recovery patterns.
• Generate and maintain living documentation that evolves with code changes. 

Leadership & Innovation 

• Participate in the full software development lifecycle, including both manual and AI-assisted requirements gathering, automated testing, and intelligent deployment strategies. 
• Mentor junior engineers on both traditional data engineering practices and effective use of AI development tools. 
• Lead tool evaluation and adoption for the data engineering team, establishing best practices for human-AI collaboration. 
• Drive innovation in data architecture by experimenting with emerging technologies.

Qualifications 

Minimum Qualifications  

• 3+ years of experience in data engineering, including building and maintaining large-scale data pipelines
• Extensive experience in SQL RDBMS (SQLServer or similar) with dimensional modeling using star schema, and foundational data warehousing concepts
• Hands-on experience with AWS services such as Redshift, Athena, S3, Kinesis, Lambda, Glue 
• Experience with DBT, Databricks or similar data platform tooling
• Experience working with structured and unstructured data and implementing data quality frameworks
• Excellent communication and collaboration skills 
• Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, or similar), with understanding of prompt engineering, to enhance development productivity 
• Understanding of AI/ML concepts and data requirements, including feature stores, model versioning, and real-time inference pipelines

Preferred Qualifications 

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Experience in a SaaS or e-commerce environment with AI/ML products
• Knowledge of stream processing frameworks like Kafka, Flink, or Spark Structured Streaming 
• Familiarity with LLMOps and AI model deployment patterns in data infrastructure 
• Experience with AI-powered data tools such as automated data catalogs, intelligent monitoring systems, or AI-assisted query optimization
• Proven ability to thrive in a fast-paced, agile environment with shifting priorities and emerging technologies
• Experience with containerization and orchestration tools like Docker and Kubernetes 

Travel Required

Up to 10%

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What it’s like to work at Rithum 

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will:

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
• Receive industry-competitive compensation and total rewards benefits.

Benefits 

• Medical, Dental and Psychology benefits 
• Life insurance and disability benefits
• Competitive time off package with 25 Days of PTO, 8 Company-paid Holidays, 5 paid floating holidays (new in 2026!), 2 Wellness days and 1 Paid Volunteer Day 
• Voucher program for Transportation, Meals & Childcare 
• Remote Working Stipend: €40/month automatically applied in payroll
• Access to tools to support your wellbeing such as the Calm App and an Employee Assistance Program 
• Professional development stipend and learning and development offerings to help you build the skills and connections you need to move forward in your career. 
• Charitable contribution match per team member 

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimise operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimised consumer shopping journeys from beginning to end.

Overview

As a Senior Data Engineer, you are a key architect in developing, delivering and maintaining intelligent data infrastructure that powers advanced analytics. You are an experienced data engineer with strong ETL pipeline and dimensional modeling skills, who is ready to leverage AI as a powerful collaborator and brings a depth of knowledge to ensure it is employed effectively for the long-term health of our business systems. You are responsible for building complex data pipelines from the ground up, delivering data into and enhancing a database infrastructure that powers advanced analytics, AI-driven decision-making, and autonomous data operations. You work across the organization, supporting and collaborating with our product teams, engineers, data scientists, and data analysts. In this context, you enhance and support our company’s cloud data architecture to support our products and data initiatives, for external clients as well as internal users.

Responsibilities

Core Data Infrastructure 

• Design and implement scalable ETL/ELT workflows that support both batch and streaming data using AWS primitives (e.g., S3, Kinesis, Glue, Redshift, Athena) 
• Architect and maintain cloud-native data platforms with automated ingestion, transformation, and governance pipelines using modern tools like DBT, Apache Spark, Delta Lake, Airflow, and Databricks 
• Work with stakeholders, including the Product, BI, and Support teams, to assist with data-related technical challenges and support their data and infrastructure needs.
• Collaborate with cross-functional Engineering teams using analytics to predict data needs and proactively deliver solutions. 
• Assist in the optimization of data lake/lakehouse infrastructure, to support AI workloads and large-scale analytics. 

Governance & Collaboration 

• Ensure data quality, lineage, and observability.
• Develop and enforce data governance policies, including compliance monitoring and privacy protection. 
• Partner with Data Scientists to optimize data pipelines for model training, inference, and continuous learning workflows. 

Advanced Data Operations 

• Build self-healing data pipelines with AI-driven error detection, root cause analysis, and automated remediation capabilities. 
• Implement intelligent data lineage tracking to automatically discover relationships between datasets and predict downstream impact of changes. 
• Create AI-assisted data discovery systems that help stakeholders find relevant datasets and understand data semantics through natural language interfaces. 
• Participate in on-call rotation, as needed.

AI-Enhanced Development

• Leverage AI coding assistants (GitHub Copilot, Cursor, etc.) to
• Accelerate development cycles, generate complex SQL queries, and automatically optimize data pipeline code. 
• Develop data quality monitoring, using anomaly detection and data profiling tools to identify issues, before they impact downstream systems. 
• Optimize pipeline orchestration, with ML to predict optimal scheduling, resource allocation, and failure recovery patterns.
• Generate and maintain living documentation that evolves with code changes. 

Leadership & Innovation 

• Participate in the full software development lifecycle, including both manual and AI-assisted requirements gathering, automated testing, and intelligent deployment strategies. 
• Mentor junior engineers on both traditional data engineering practices and effective use of AI development tools. 
• Lead tool evaluation and adoption for the data engineering team, establishing best practices for human-AI collaboration. 
• Drive innovation in data architecture by experimenting with emerging technologies.

Qualifications 

Minimum Qualifications  

• 3+ years of experience in data engineering, including building and maintaining large-scale data pipelines
• Extensive experience in SQL RDBMS (SQLServer or similar) with dimensional modeling using star schema, and foundational data warehousing concepts
• Hands-on experience with AWS services such as Redshift, Athena, S3, Kinesis, Lambda, Glue 
• Experience with DBT, Databricks or similar data platform tooling
• Experience working with structured and unstructured data and implementing data quality frameworks
• Excellent communication and collaboration skills 
• Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, or similar), with understanding of prompt engineering, to enhance development productivity 
• Understanding of AI/ML concepts and data requirements, including feature stores, model versioning, and real-time inference pipelines

Preferred Qualifications 

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Experience in a SaaS or e-commerce environment with AI/ML products
• Knowledge of stream processing frameworks like Kafka, Flink, or Spark Structured Streaming 
• Familiarity with LLMOps and AI model deployment patterns in data infrastructure 
• Experience with AI-powered data tools such as automated data catalogs, intelligent monitoring systems, or AI-assisted query optimization
• Proven ability to thrive in a fast-paced, agile environment with shifting priorities and emerging technologies
• Experience with containerization and orchestration tools like Docker and Kubernetes 

Travel Required

Up to 10%

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What it’s like to work at Rithum 

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will:

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
• Receive industry-competitive compensation and total rewards benefits.

Benefits 

• Medical, Dental and Psychology benefits 
• Life insurance and disability benefits
• Competitive time off package with 25 Days of PTO, 8 Company-paid Holidays, 5 paid floating holidays (new in 2026!), 2 Wellness days and 1 Paid Volunteer Day 
• Voucher program for Transportation, Meals & Childcare 
• Remote Working Stipend: €40/month automatically applied in payroll
• Access to tools to support your wellbeing such as the Calm App and an Employee Assistance Program 
• Professional development stipend and learning and development offerings to help you build the skills and connections you need to move forward in your career. 
• Charitable contribution match per team member 

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimise operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimised consumer shopping journeys from beginning to end.

Overview

As a Senior Data Engineer, you are a key architect in developing, delivering and maintaining intelligent data infrastructure that powers advanced analytics. You are an experienced data engineer with strong ETL pipeline and dimensional modeling skills, who is ready to leverage AI as a powerful collaborator and brings a depth of knowledge to ensure it is employed effectively for the long-term health of our business systems. You are responsible for building complex data pipelines from the ground up, delivering data into and enhancing a database infrastructure that powers advanced analytics, AI-driven decision-making, and autonomous data operations. You work across the organization, supporting and collaborating with our product teams, engineers, data scientists, and data analysts. In this context, you enhance and support our company’s cloud data architecture to support our products and data initiatives, for external clients as well as internal users.

Responsibilities

Core Data Infrastructure 

• Design and implement scalable ETL/ELT workflows that support both batch and streaming data using AWS primitives (e.g., S3, Kinesis, Glue, Redshift, Athena) 
• Architect and maintain cloud-native data platforms with automated ingestion, transformation, and governance pipelines using modern tools like DBT, Apache Spark, Delta Lake, Airflow, and Databricks 
• Work with stakeholders, including the Product, BI, and Support teams, to assist with data-related technical challenges and support their data and infrastructure needs.
• Collaborate with cross-functional Engineering teams using analytics to predict data needs and proactively deliver solutions. 
• Assist in the optimization of data lake/lakehouse infrastructure, to support AI workloads and large-scale analytics. 

Governance & Collaboration 

• Ensure data quality, lineage, and observability.
• Develop and enforce data governance policies, including compliance monitoring and privacy protection. 
• Partner with Data Scientists to optimize data pipelines for model training, inference, and continuous learning workflows. 

Advanced Data Operations 

• Build self-healing data pipelines with AI-driven error detection, root cause analysis, and automated remediation capabilities. 
• Implement intelligent data lineage tracking to automatically discover relationships between datasets and predict downstream impact of changes. 
• Create AI-assisted data discovery systems that help stakeholders find relevant datasets and understand data semantics through natural language interfaces. 
• Participate in on-call rotation, as needed.

AI-Enhanced Development

• Leverage AI coding assistants (GitHub Copilot, Cursor, etc.) to
• Accelerate development cycles, generate complex SQL queries, and automatically optimize data pipeline code. 
• Develop data quality monitoring, using anomaly detection and data profiling tools to identify issues, before they impact downstream systems. 
• Optimize pipeline orchestration, with ML to predict optimal scheduling, resource allocation, and failure recovery patterns.
• Generate and maintain living documentation that evolves with code changes. 

Leadership & Innovation 

• Participate in the full software development lifecycle, including both manual and AI-assisted requirements gathering, automated testing, and intelligent deployment strategies. 
• Mentor junior engineers on both traditional data engineering practices and effective use of AI development tools. 
• Lead tool evaluation and adoption for the data engineering team, establishing best practices for human-AI collaboration. 
• Drive innovation in data architecture by experimenting with emerging technologies.

Qualifications 

Minimum Qualifications  

• 3+ years of experience in data engineering, including building and maintaining large-scale data pipelines
• Extensive experience in SQL RDBMS (SQLServer or similar) with dimensional modeling using star schema, and foundational data warehousing concepts
• Hands-on experience with AWS services such as Redshift, Athena, S3, Kinesis, Lambda, Glue 
• Experience with DBT, Databricks or similar data platform tooling
• Experience working with structured and unstructured data and implementing data quality frameworks
• Excellent communication and collaboration skills 
• Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, or similar), with understanding of prompt engineering, to enhance development productivity 
• Understanding of AI/ML concepts and data requirements, including feature stores, model versioning, and real-time inference pipelines

Preferred Qualifications 

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Experience in a SaaS or e-commerce environment with AI/ML products
• Knowledge of stream processing frameworks like Kafka, Flink, or Spark Structured Streaming 
• Familiarity with LLMOps and AI model deployment patterns in data infrastructure 
• Experience with AI-powered data tools such as automated data catalogs, intelligent monitoring systems, or AI-assisted query optimization
• Proven ability to thrive in a fast-paced, agile environment with shifting priorities and emerging technologies
• Experience with containerization and orchestration tools like Docker and Kubernetes 

Travel Required

Up to 10%

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What it’s like to work at Rithum 

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will:

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
• Receive industry-competitive compensation and total rewards benefits.

Benefits 

• Medical coverage provided through Irish Life Health; premiums paid by the company 
• Life & disability insurance
• Pension plan with 5% company match
• Competitive time off package with 25 Days of PTO, 11 Company-paid holidays, 2 Wellness days and 1 Paid Volunteer Day 
• Access to tools to support your wellbeing such as the Calm App and an Employee Assistance Program 
• €50/month Remote work stipend for internet
• Professional development stipend and learning and development offerings to help you build the skills and connections you need to move forward in your career. 
• Charitable contribution match per team member  

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

What Is The Role : 

Developers and community matter. Our users and contributors have helped ensure that the Elastic Stack (including Elasticsearch, Kibana, Beats, and Logstash) is more than just code — they are open source projects that people love to use.

We’re looking for someone who can connect with our global audience through creative, educational, and visually engaging content. You don’t need to be a Senior Engineer — but you should have a strong technical foundation, curiosity to learn, and the skills to tell compelling stories about technology.

Your work will combine writing, visuals, and video — with no waiting on others to get it done. From drafting a Twitter thread in the morning to publishing an infographic and editing a short video in the afternoon, you’ll take ideas from concept to launch, end to end.

What You Will Be Doing:

• Create engaging technical content for social media, blogs, and YouTube, covering Search, AI, and Elasticsearch in ways that are approachable and inspiring. Topics range from foundational and evergreen topics to today's LLM release.
• Write short-form content (Twitter threads, LinkedIn posts) that distills complex concepts into clear, shareable insights.
• Produce simple, high-quality videos and infographics yourself — from scripting and recording to editing and publishing.
• Explore new trends in Search, AI, and developer tools, and translate them into content our audience cares about.
• Build demos and examples to support your content or share the highlights of the latest research papers.
• Add a creative spark to Elastic’s content to keep our community engaged and draw in new audiences.

What You Bring : 

• Solid technical background and experience in an engineering role.
• Demonstrated ability to create a variety of content formats: blog posts, social media threads, videos, infographics.
• Comfortable working independently and seeing projects through from idea to publication without waiting on others.
• Curiosity and adaptability to quickly pick up new tools and topics.
• A collaborative mindset and willingness to share ideas, in a fully distributed team.
• Strong written and spoken communication skills in English.

What Is The Role : 

Developers and community matter. Our users and contributors have helped ensure that the Elastic Stack (including Elasticsearch, Kibana, Beats, and Logstash) is more than just code — they are open source projects that people love to use.

We’re looking for someone who can connect with our global audience through creative, educational, and visually engaging content. You don’t need to be a Senior Engineer — but you should have a strong technical foundation, curiosity to learn, and the skills to tell compelling stories about technology.

Your work will combine writing, visuals, and video — with no waiting on others to get it done. From drafting a Twitter thread in the morning to publishing an infographic and editing a short video in the afternoon, you’ll take ideas from concept to launch, end to end.

What You Will Be Doing:

• Create engaging technical content for social media, blogs, and YouTube, covering Search, AI, and Elasticsearch in ways that are approachable and inspiring. Topics range from foundational and evergreen topics to today's LLM release.
• Write short-form content (Twitter threads, LinkedIn posts) that distills complex concepts into clear, shareable insights.
• Produce simple, high-quality videos and infographics yourself — from scripting and recording to editing and publishing.
• Explore new trends in Search, AI, and developer tools, and translate them into content our audience cares about.
• Build demos and examples to support your content or share the highlights of the latest research papers.
• Add a creative spark to Elastic’s content to keep our community engaged and draw in new audiences.

What You Bring : 

• Solid technical background and experience in an engineering role.
• Demonstrated ability to create a variety of content formats: blog posts, social media threads, videos, infographics.
• Comfortable working independently and seeing projects through from idea to publication without waiting on others.
• Curiosity and adaptability to quickly pick up new tools and topics.
• A collaborative mindset and willingness to share ideas, in a fully distributed team.
• Strong written and spoken communication skills in English.

ABOUT THE ROLE AND THE TEAM: 

We are a team of 80 Sales Representatives who love sales. We provide extensive training and professional development opportunities for significant career growth. This is not just a sales role—it is a consultative position where you will act as a trusted advisor to vendors. As a leading marketplace in the wedding sector, we are the go-to reference for businesses operating in this industry. This allows us to take a consultative sales approach, not only advising clients with personalized campaigns but also training them in marketing and sales strategies to help them grow their business.

RESPONSIBILITIES: 

• Acquisition of new clients: Acquisition of new clients already present on the platform in a free format, to whom we offer upselling to premium. Proactively identify and pursue new business opportunities through targeted outreach and relationship-building. 
• Management and expansion of the assigned client portfolio
• Training and consulting for clients: Provide guidance and support to clients, helping them understand and leverage products/services to meet their business needs.
• Manage outbound sales activities: Conduct cold calling and prospecting activities to identify and engage new clients, leveraging a comprehensive understanding of the full sales cycle. 
• Manager inbound leads: Reach out to clients interested in learning more about our premium services guiding them through the benefits and opportunities available.
• Full sales cycle knowledge: Navigate the entire sales process from lead generation, qualification to closing.

SUCCESSFUL CANDIDATES HAVE: 

• Minimum 2 years of experience in sales and B2B client management (new business development, client retention, and account management)
• Strong commercial acumen and proven negotiation skills
• Excellent listening and communication abilities
• Highly results-oriented, determined, and team-driven
• A strong passion for sales and a proactive approach to feedback and continuous improvement
• Ability to work in multicultural, structured, and dynamic environments
• Native-level Italian and fluent English proficiency

BENEFITS:

• Hybrid working
• Private health insurance paid by the company
• Access to a laptop and mobile phone as a work tool
• Tax relief options for Ticket Restaurant, Ticket Transportation, and Daycare.
• Development tools: TKWW University and Udemy courses
• TYPS: easy APP to ask for salary advance payments in 48h
• Referral program
• Getting married or having a baby? We have a gift for you!
• On demand mental health assistance

WORK MODEL:

This role is Together@TKWW-eligible and based near one of our office hubs. You’ll be expected to work in the office two days a week as part of our hybrid work model.

#LI-Hybrid  #professional-track

Position Overview

We are looking to welcome yet another brilliant Senior Marketing Data Analyst into our Marketing Analytics team.

As a Senior Data Analyst, you’ll be responsible for designing and driving high-impact analytics solutions, from developing advanced statistical frameworks to evaluate marketing performance, to building data pipelines that integrate third-party sources, to creating interactive tools that empower partner teams. These are just a few examples of the initiatives you’ll help lead and deliver end-to-end, playing a key role in shaping the technical direction of our analytics efforts. The demands on this team are constantly evolving with the needs of Socialpoint’s and Zynga’s dynamic marketing teams, so it is important that you be able to adapt and utilize your time efficiently.

What you'll do:

• Partner closely with marketing and cross-functional teams to identify growth opportunities, improve efficiency, and shape strategic initiatives.
• Lead analytical deep dives to surface insights and translate them into actionable recommendations for senior stakeholders.
• Visualize and communicate analytical findings clearly, enabling data-driven decision-making across the organization.
• Apply statistical methodologies to evaluate performance and account for uncertainties in major initiatives.
• Proactively explore and prototype opportunities using AI-driven automation to streamline investigations and improve decision-making.

What You Bring: 

• Demonstrated experience with some or all of the following: predictive modeling, statistics, experimental design, optimization, data visualization
• Understanding of marketing metrics and KPIs, with experience in campaign optimization, Lifetime Value (LTV) modeling, and incrementality analysis
• Proficiency in SQL and Python with hands-on experience in Redshift, Databricks, PySpark, and Airflow
• Strong analytical and problem-solving skills with the ability to translate ambiguous questions into data-driven insights
• Strong communication skills — you can explain complex data in simple, actionable terms
• Familiarity with AI/ML concepts or experience in automating recurring analytics workflows is a plus
• A team player, you establish effective relationships to work with others for the win
• Proven work experience in data analytics or data science roles 
• BS in Computer Science, Math, Statistics, Economics, or other quantitative field; Masters, MBA or PhD preferred

What's in it for you as a Socialpointer?

• Hybrid working model: we ask you to come to our Barcelona office at least 2 days per week
• A generous 25 days of annual leave, plus public holidays
• Private medical insurance for you and your family to keep your health bar full
• Disability and life insurance
• Choose from the latest iOS or Android device when you join (phone or tablet)
• Free language lessons in English, Spanish and Catalan
• Spotify Premium to add the perfect soundtrack to your adventure
• Legendary social events and parties to let off some steam
• Take-Two Interactive employee stock purchase plan (eligibility criteria applies)
• Professional development budget for skills training

Onsite perks include:

• State of the art gym facilities
• Free breakfast, lunch, and specialty coffee
• Onsite physiotherapist and hairdresser (no wallet needed!)

The list goes on and on… so get your game on and apply now! Click “Apply” to level up and submit your application in English.

Position Overview

We are looking to welcome yet another brilliant Senior Marketing Data Analyst into our Marketing Analytics team.

As a Senior Data Analyst, you’ll be responsible for designing and driving high-impact analytics solutions, from developing advanced statistical frameworks to evaluate marketing performance, to building data pipelines that integrate third-party sources, to creating interactive tools that empower partner teams. These are just a few examples of the initiatives you’ll help lead and deliver end-to-end, playing a key role in shaping the technical direction of our analytics efforts. The demands on this team are constantly evolving with the needs of Socialpoint’s and Zynga’s dynamic marketing teams, so it is important that you be able to adapt and utilize your time efficiently.

What you'll do:

• Partner closely with marketing and cross-functional teams to identify growth opportunities, improve efficiency, and shape strategic initiatives.
• Lead analytical deep dives to surface insights and translate them into actionable recommendations for senior stakeholders.
• Visualize and communicate analytical findings clearly, enabling data-driven decision-making across the organization.
• Apply statistical methodologies to evaluate performance and account for uncertainties in major initiatives.
• Proactively explore and prototype opportunities using AI-driven automation to streamline investigations and improve decision-making.

What You Bring: 

• Demonstrated experience with some or all of the following: predictive modeling, statistics, experimental design, optimization, data visualization
• Understanding of marketing metrics and KPIs, with experience in campaign optimization, Lifetime Value (LTV) modeling, and incrementality analysis
• Proficiency in SQL and Python with hands-on experience in Redshift, Databricks, PySpark, and Airflow
• Strong analytical and problem-solving skills with the ability to translate ambiguous questions into data-driven insights
• Strong communication skills — you can explain complex data in simple, actionable terms
• Familiarity with AI/ML concepts or experience in automating recurring analytics workflows is a plus
• A team player, you establish effective relationships to work with others for the win
• Proven work experience in data analytics or data science roles 
• BS in Computer Science, Math, Statistics, Economics, or other quantitative field; Masters, MBA or PhD preferred

What's in it for you as a Socialpointer?

• Hybrid working model: we ask you to come to our Barcelona office at least 2 days per week
• A generous 25 days of annual leave, plus public holidays
• Private medical insurance for you and your family to keep your health bar full
• Disability and life insurance
• Choose from the latest iOS or Android device when you join (phone or tablet)
• Free language lessons in English, Spanish and Catalan
• Spotify Premium to add the perfect soundtrack to your adventure
• Legendary social events and parties to let off some steam
• Take-Two Interactive employee stock purchase plan (eligibility criteria applies)
• Professional development budget for skills training

Onsite perks include:

• State of the art gym facilities
• Free breakfast, lunch, and specialty coffee
• Onsite physiotherapist and hairdresser (no wallet needed!)

The list goes on and on… so get your game on and apply now! Click “Apply” to level up and submit your application in English.

RDQ326R15

The Incident Response team's mission is to respond to security threats, incidents and investigations to protect our customers, employees and enterprise data in a fast, efficient and standardised manner. We're a tight-knit team of security incident responders and incident handlers doing "Security for Databricks on Databricks", using our own platform to create near-real-time log analytics, alerting and forensics.

You will be an individual contributor on the security Incident Response (IR) team at Databricks, reporting to the regional IR manager. You will be responsible for conducting security analysis and forensics, responding to high-priority alerts and contributing to automations and agentic capabilities. You will be a security multiplier and help the team scale security incident response at Databricks.

The impact you will have:

• You will respond to incidents as part of a distributed 24x7 operations and on-call schedule.
• You will triage and respond to security events and alerts, ensuring quick and effective containment.
• You will contribute to security investigations, conducting analysis and forensics across a range of data sources to determine the timeline and impact of security events.
• You will build automations, including leveraging AI and agentic platforms, to deliver autonomous capabilities, expedite your work and scale the impact of the team.
• You will communicate technical decisions through design docs and tech talks, and mentor junior security responders via security guidance, design reviews and code reviews.

What we look for:

• Bachelor's Degree AND 4+ years experience in Incident Response work OR Master's Degree AND 2+ years experience.
• Strong cloud security background in at least 1 of AWS, GCP or Azure, and working knowledge of the others.
• Knowledge of AI/LLM and agentic capabilities, including effective prompting and use of MCP, agents and agent skills. Prefer experience with building and operating agentic systems in a security setting.
• Broad security subject matter expertise.
• Expertise in few core IR skills (DFIR , Reverse Engineering, Traditional Network Security, Storage and access security, Sandboxing, Compute security, etc.).
• Experience with Enterprise Security and SaaS applications.
• Working knowledge of a SIEM and SOAR.
• Experience building Incident Response Tooling and scripting language skills.

We are looking for a Senior MLOps Engineer to add to our Data team in Barcelona.

Join the User Acquisition MLOps team that builds the core ML backbone of Appodeal. We design and run the systems that power real-time predictions at massive scale, where every millisecond matters. Our work directly drives thousands of bidding operations each second, supporting a high‑throughput, low‑latency inference platform used across the company.

You will help shape and evolve a modern ML platform built around Databricks, MLflow, Unity Catalog, GitHub Actions, and deep integrations with our Predictor service. This means solving real engineering challenges: scaling training pipelines, optimizing GPU workloads, ensuring safe and automated model promotions, and keeping online inference reliable under extreme load.

You will collaborate daily with Data Science, Data Engineering, Runtime, DevOps, and Product, and you will fully own the systems and projects you touch. This is a role for engineers who like autonomy, impact, and building things that matter.

Responsibilities:

• Design, operate, and improve the ML platform, including Databricks workflows for training, MLflow and Unity Catalog for model management, CI/CD pipelines using GitHub Actions and Databricks Asset Bundles, and integration with the runtime inference layer.
• Support data scientists in developing and maintaining end-to-end training pipelines, covering data processing, feature transformations, ML model training on GPUs, and distributed training setups to ensure efficient and scalable workflows.
• Ensure reliable and safe model inference by validating models before promotion, checking metadata compatibility, monitoring latency, and supporting model evaluation flows.
• Maintain strong ML observability, including online and offline monitoring, data and feature parity checks, and automated validation of model performance in production.
• Develop internal tools and APIs that enable DS teams and account managers to experiment, validate, and promote models efficiently while reducing operational friction.

Requirements:

• 3+ years of experience in MLOps, ML Platform Engineering, or Backend roles supporting production ML systems.
• Strong Python and software engineering skills, with experience building and maintaining APIs (FastAPI, Flask, or similar).
• Hands-on experience with DNNs using PyTorch or other modern deep learning frameworks, including GPU training and optimizing hardware utilization.
• Solid understanding of distributed computing and data processing using Apache Spark or similar frameworks.
• Experience with Databricks (Jobs, MLflow, Delta, UC) or an equivalent cloud-based ML platform.
• Strong understanding of the ML lifecycle: data ingestion, experimentation, model packaging, deployment, and monitoring.
• Familiarity with real-time model inference systems and ensuring compatibility with downstream services.
• Experience with data validation libraries (Pydantic or similar) used within ML and API workflows.
• Good understanding of Docker containers, Kubernetes, and basic networking concepts.
• Experience creating and maintaining CI/CD pipelines (GitHub Actions or similar).
• Experience with orchestration tools (Databricks Jobs, Dagster, Airflow or similar).
• Demonstrated ability to use modern AI tools (Claude, ChatGPT, Gemini) to improve development speed and quality.
• Proactive mindset with a strong sense of ownership, consistently pushing work forward and anticipating next steps without needing close direction.
• Strong English communication skills.

Nice to have:

• Exposure to very high-load, low-latency ML inference environments.
• Knowledge of distributed or large-scale ML training frameworks and multi-GPU setups.
• Familiarity with Databricks Asset Bundles.
• Understanding of ONNX or other portable model serialization formats.
• Ability to work with Rust programming language.
• Familiarity with transformer architectures, encoder-decoder models, or sequence modeling approaches.
• Exposure to data engineering concepts, such as building scalable data pipelines, understanding CDC patterns, or working with structured and unstructured datasets.
• Experience with MinIO or other S3-compatible storage systems.
• Understanding of networking protocols such as TCP, HTTP, and gRPC, including their limitations in low-latency scenarios.
• Confidence navigating the Atlassian ecosystem (Jira, Confluence, Compass).

This position supposes relocation to Barcelona and work from our office in the city center.

Why Join Us:

• Opportunity to work on cutting-edge projects with a global impact in the mobile app industry.
• A collaborative and inclusive work culture that values innovation and continuous learning.
• Competitive salary, flexible work arrangements, and a comprehensive benefits package.
• Professional development opportunities and career growth prospects within a fast-growing company.

DESCRIPTION

As a science-driven healthcare analytics company with a rapidly growing customer base, Datavant is looking for an expert R programmer with experience analyzing real world data. 

As an Associate Director / Director in the Research+Analytics team, you would be part of a small team of analytic programmers executing analyses for client projects and may contribute to the development of software product features. 

This position will report to the Senior Director of Biostatistics, Programming Team Lead.

CORE RESPONSIBILITIES 

• Autonomously conduct programming tasks, including data management for complex longitudinal analyses and use of R, SQL, and Apache Spark
• Aid in the interpretation of programmed results (e.g., relevant sections of reports or manuscripts)
• Aid in the design and conduct of robust real-world research, including protocol and statistical analysis plan development and ensuring appropriateness of study design, sample size and statistical methodologies proposed
• Mentor early-career programmers 
• May be asked to provide input on the appropriate application and prioritization of analytic product features and support their testing in collaboration with the Product Management and Engineering teams, based on use cases and input from clients and internal scientists 

QUALIFICATIONS

Required Qualifications

• Advanced degree in biostatistics, statistics, epidemiology, or related quantitative field 
• PhD with at least 2 years of relevant experience or Masters with at least 5 years of relevant experience
• Experience processing raw real-world data files (especially from secondary sources) to obtain analysis-ready datasets, such as engaging with data from multiple tables, stringing data to create drug durations, applying complex algorithms (for example, creating pregnancy episodes), etc.
• Strong programming experience in R and SQL
• Experience working with Databricks and Apache Spark for large-scale data processing
• Proficiency in Github use
• Excellent oral and written communication skills
• Ability to self-motivate
• Collaborative, flexible, and solution-oriented

Preferred Qualifications

• Experience in the conduct of descriptive, prediction, and causal inference observational/epidemiological studies using secondary sources of real-world data, such as administrative claims, electronic health records, and disease registries.  Experience in the clinical trials space may meet this requirement 
• Experience with AI coding tools

Perks of joining Datavant in Barcelona

• 25 vacation days
• Daily in-office lunch stipend (and a fully stocked kitchen)  
• Hybrid work model: 2 days/ week in our office in Gracia
• Commitment to professional development opportunities 
• Employee-led initiatives including annual company-wide innovation day & DEI resource groups 
• Comprehensive private health coverage w/ out-of-network reimbursements options 
• Flexible remuneration with Cobee (Restaurant, Transportation, Nursery)
• Peer & company recognition programs
• Monthly educational lunch & learns

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 

Are you a Senior Data Engineer with a passion to build, support & maintain digital marketing solutions that offers real value? Are you interested in working with the largest global brands and complex challenges in the media analytics space? Then you might be the Senior Data Engineer we’re looking for!

What will your day look like?

As our new Senior Data Engineer, you will become part of our growing Data Insights and Science team. Here, you will employ new technologies across multiple cloud platforms to help successful brands reach their next level in 1:1 retargeting, communication, and CRM. More specifically, your tasks include:

• Identify, collect, and integrate data from various sources by building high-quality data pipelines and data models for analytics and business intelligence (BI) purposes.
• Develop and optimize code to enable pipelines at minimum cost and ease of maintenance.
• Build monitoring procedures & tools to ensure solid ETL flows and data quality.
• Design processes and tools to correct ETL incidents.
• Collaborate with CRM developers, data scientists, data analysts, and product owners to ensure the supplied data supports the business initiatives.
• Consult our data analytics teams to ensure best practices on the technical use of data are followed.
• Design data architectures and collaborate in data migrations in cloud environments. 

Who are you going to work with?

You will join a team of highly skilled Architects, Data Scientists, and Consultants who are passionate about unlocking insights from data through analytics. You will also get to work closely with experts from other Technology, Creative, and Client Teams.

What do you bring to the table?

As a person, you have a team player mindset and an open-minded attitude. You can communicate ideas and technical topics honestly and clearly – also to non-experts – while respecting the views of others on the team. You are eager to understand and find solutions, allowing you to quickly adapt to changing situations and come up with new ideas.

At the same time, you solve problems in an analytical and pragmatic manner.

Moreover, you have:

• Experience in data engineering, big data, business intelligence, or data science. 
• Experience in Spark, Python, Scala, or similar.
• Excellent SQL skills enabling large-scale data transformation and analysis.
• A comprehensive understanding of cloud data warehousing, data pipelines and data transformation (extract, transform, and load) processes and supporting technologies such as Google Dataflow, Looker, DBT, EMR, CI/CD Pipelines, Airflow DAGs, and other analytics tools.
• Experience with cloud-based data infrastructures (Ideally GCP, but AWS or Azure would also suffice)
• Programming experience in Javascript, Python, or similar.
• Expertise in managing databases, including performance tuning, backup, and recovery.
• Solid knowledge of data quality management best practices, including data profiling, data cleansing, and data validation
• Knowledge of strengths and limitations of visualization tools (e.g. PowerBI, Tableau, Looker, etc.) in terms of data modeling in the visualization tools.
• Understanding of versioning control tools like GitHub to changes related to dbt models and transformations, ensuring that changes are tracked, documented, and reviewed by the appropriate stakeholders.
• Knowledge of applying data governance principles, policies, and practices that ensure data accuracy, consistency, and security
• Knowledge of Kubernetes would be an advantage

Personal skills:

• Strong desire to contribute towards keeping data tidy and well-organized
• Ability to think critically, identify issues autonomously, and propose corrective actions.
• Build great relationships with your team and stakeholders

A leader in personalized customer experiences

VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.

A global network

We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences. 

#LI-EMEA

Are you a Senior Data Engineer with a passion to build, support & maintain digital marketing solutions that offers real value? Are you interested in working with the largest global brands and complex challenges in the media analytics space? Then you might be the Senior Data Engineer we’re looking for!

What will your day look like?

As our new Senior Data Engineer, you will become part of our growing Data Insights and Science team. Here, you will employ new technologies across multiple cloud platforms to help successful brands reach their next level in 1:1 retargeting, communication, and CRM. More specifically, your tasks include:

• Identify, collect, and integrate data from various sources by building high-quality data pipelines and data models for analytics and business intelligence (BI) purposes.
• Develop and optimize code to enable pipelines at minimum cost and ease of maintenance.
• Build monitoring procedures & tools to ensure solid ETL flows and data quality.
• Design processes and tools to correct ETL incidents.
• Collaborate with CRM developers, data scientists, data analysts, and product owners to ensure the supplied data supports the business initiatives.
• Consult our data analytics teams to ensure best practices on the technical use of data are followed.
• Design data architectures and collaborate in data migrations in cloud environments. 

Who are you going to work with?

You will join a team of highly skilled Architects, Data Scientists, and Consultants who are passionate about unlocking insights from data through analytics. You will also get to work closely with experts from other Technology, Creative, and Client Teams.

What do you bring to the table?

As a person, you have a team player mindset and an open-minded attitude. You can communicate ideas and technical topics honestly and clearly – also to non-experts – while respecting the views of others on the team. You are eager to understand and find solutions, allowing you to quickly adapt to changing situations and come up with new ideas.

At the same time, you solve problems in an analytical and pragmatic manner.

Moreover, you have:

• Experience in data engineering, big data, business intelligence, or data science. 
• Experience in Spark, Python, Scala, or similar.
• Excellent SQL skills enabling large-scale data transformation and analysis.
• A comprehensive understanding of cloud data warehousing, data pipelines and data transformation (extract, transform, and load) processes and supporting technologies such as Google Dataflow, Looker, DBT, EMR, CI/CD Pipelines, Airflow DAGs, and other analytics tools.
• Experience with cloud-based data infrastructures (Ideally GCP, but AWS or Azure would also suffice)
• Programming experience in Javascript, Python, or similar.
• Expertise in managing databases, including performance tuning, backup, and recovery.
• Solid knowledge of data quality management best practices, including data profiling, data cleansing, and data validation
• Knowledge of strengths and limitations of visualization tools (e.g. PowerBI, Tableau, Looker, etc.) in terms of data modeling in the visualization tools.
• Understanding of versioning control tools like GitHub to changes related to dbt models and transformations, ensuring that changes are tracked, documented, and reviewed by the appropriate stakeholders.
• Knowledge of applying data governance principles, policies, and practices that ensure data accuracy, consistency, and security
• Knowledge of Kubernetes would be an advantage

Personal skills:

• Strong desire to contribute towards keeping data tidy and well-organized
• Ability to think critically, identify issues autonomously, and propose corrective actions.
• Build great relationships with your team and stakeholders

A leader in personalized customer experiences

VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.

A global network

We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences. 

#LI-EMEA

Are you a Senior Data Engineer with a passion to build, support & maintain digital marketing solutions that offers real value? Are you interested in working with the largest global brands and complex challenges in the media analytics space? Then you might be the Senior Data Engineer we’re looking for!

What will your day look like?

As our new Senior Data Engineer, you will become part of our growing Data Insights and Science team. Here, you will employ new technologies across multiple cloud platforms to help successful brands reach their next level in 1:1 retargeting, communication, and CRM. More specifically, your tasks include:

• Identify, collect, and integrate data from various sources by building high-quality data pipelines and data models for analytics and business intelligence (BI) purposes.
• Develop and optimize code to enable pipelines at minimum cost and ease of maintenance.
• Build monitoring procedures & tools to ensure solid ETL flows and data quality.
• Design processes and tools to correct ETL incidents.
• Collaborate with CRM developers, data scientists, data analysts, and product owners to ensure the supplied data supports the business initiatives.
• Consult our data analytics teams to ensure best practices on the technical use of data are followed.
• Design data architectures and collaborate in data migrations in cloud environments. 

Who are you going to work with?

You will join a team of highly skilled Architects, Data Scientists, and Consultants who are passionate about unlocking insights from data through analytics. You will also get to work closely with experts from other Technology, Creative, and Client Teams.

What do you bring to the table?

As a person, you have a team player mindset and an open-minded attitude. You can communicate ideas and technical topics honestly and clearly – also to non-experts – while respecting the views of others on the team. You are eager to understand and find solutions, allowing you to quickly adapt to changing situations and come up with new ideas.

At the same time, you solve problems in an analytical and pragmatic manner.

Moreover, you have:

• Experience in data engineering, big data, business intelligence, or data science. 
• Experience in Spark, Python, Scala, or similar.
• Excellent SQL skills enabling large-scale data transformation and analysis.
• A comprehensive understanding of cloud data warehousing, data pipelines and data transformation (extract, transform, and load) processes and supporting technologies such as Google Dataflow, Looker, DBT, EMR, CI/CD Pipelines, Airflow DAGs, and other analytics tools.
• Experience with cloud-based data infrastructures (Ideally GCP, but AWS or Azure would also suffice)
• Programming experience in Javascript, Python, or similar.
• Expertise in managing databases, including performance tuning, backup, and recovery.
• Solid knowledge of data quality management best practices, including data profiling, data cleansing, and data validation
• Knowledge of strengths and limitations of visualization tools (e.g. PowerBI, Tableau, Looker, etc.) in terms of data modeling in the visualization tools.
• Understanding of versioning control tools like GitHub to changes related to dbt models and transformations, ensuring that changes are tracked, documented, and reviewed by the appropriate stakeholders.
• Knowledge of applying data governance principles, policies, and practices that ensure data accuracy, consistency, and security
• Knowledge of Kubernetes would be an advantage

Personal skills:

• Strong desire to contribute towards keeping data tidy and well-organized
• Ability to think critically, identify issues autonomously, and propose corrective actions.
• Build great relationships with your team and stakeholders

A leader in personalized customer experiences

VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.

A global network

We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences. 

#LI-EMEA

Senior Data Scientist — Verify V2 Data Products, Insights & Monetization

Mission

Build the quantitative foundation that proves and amplifies Verify v2's value—transforming verification telemetry into a reliable, customer-facing data infrastructure that demonstrates measurable ROI, optimizes channel economics, and lays the groundwork for an autonomous identity and verification platform.

You'll own the end-to-end data pipeline from raw events to customer-visible metrics that answer the question every customer asks: "What is this product actually worth to my business?"

What You'll Own

1. Customer Value Infrastructure (Prove ROI at Every Level)

Build the metrics that quantify customer-specific business impact:

• Design and maintain a real-time Customer ROI Engine calculating cost-per-successful-verification, fraud savings, conversion lift, and time-to-value by customer, segment, and use case
• Create customer-facing Value Dashboards showing verification success rates vs. industry benchmarks, cost efficiency trends, and projected savings
• Develop attribution models connecting verification outcomes to downstream business metrics (account activations, transaction completion, fraud prevented)

Establish pricing intelligence at the customer level:

• Build granular unit economics visibility: cost-to-serve, margin contribution, and channel mix efficiency per customer
• Model willingness-to-pay signals and usage patterns to inform tiered pricing and custom packaging
• Quantify the revenue impact of workflow configurations (Silent Auth-first vs. SMS fallback economics)

2. Channel Performance & Optimization (Make Every Verification Smarter)

Create a single source of truth for channel economics:

• Unified performance metrics across SMS, Voice, Email, WhatsApp, and Silent Authentication: deliverability, latency, conversion rate, cost-per-success, and failure taxonomy
• Country × carrier × channel performance matrices with confidence intervals and anomaly flags
• Real-time channel health monitoring with automated alerting for degradation

Build the intelligence layer for workflow optimization:

• Predictive models for optimal channel routing (next-best-channel given geography, time, customer segment, historical performance)
• Fallback effectiveness analysis: quantify conversion recovery and cost trade-offs for each fallback path
• Silent Authentication signal analysis: success/rejection drivers, speed benchmarks, and UX impact measurement

3. Product Data Platform (Foundation for Autonomy)

Design data architecture that enables autonomous decision-making:

• Define the canonical event schema and taxonomy for all verification touchpoints (API calls, webhook events, workflow steps, outcomes)
• Build certified, versioned datasets powering self-serve analytics, ML models, and customer-facing products
• Implement data quality infrastructure: lineage tracking, anomaly detection, freshness SLAs, and automated reconciliation

Ship ML/analytics products that move toward autonomous verification:

• Conversion propensity models: predict verification success probability in real-time to optimize routing
• Fraud & abuse detection: anomaly scoring for traffic pumping, IRSF patterns, and bot behavior—with automated response recommendations
• Time-to-verify prediction: forecast completion time to enable SLA commitments and dynamic timeout tuning
• Customer segmentation: behavioral and commercial clustering for personalized workflows and pricing

4. Monetization (Turn Data into Revenue)

Develop data products that customers will pay for:

• Verification Intelligence Suite: premium analytics, industry benchmarks, and deliverability diagnostics
• Workflow Optimizer: ML-driven recommendations for channel sequencing, timeout configuration, and fallback strategies by geography and vertical
• Fraud Protection Package: risk scoring, pumping detection, and abuse pattern alerts with quantified savings

Define commercial success:

• Package entitlements, usage thresholds, and upgrade triggers
• Track attach rates, retention lift, and expansion revenue attributable to data products
• Build the business case for each offering with clear ROI narratives

Key Responsibilities

• Own the customer value narrative: Build and maintain the infrastructure that lets every customer (and our sales team) articulate Verify's ROI in dollars and percentages
• Ship production ML systems: From feature engineering through deployment, monitoring, and iteration
• Create reliable, self-serve data products: Dashboards, APIs, and datasets that scale without manual intervention
• Drive pricing and packaging decisions: Provide the quantitative foundation for how we charge and what we bundle
• Partner across the organization: Work with Product, Engineering, Finance, Sales, and Customer Success to embed data into every decision
• Report to leadership: Own KPI narratives on margin drivers, growth levers, and competitive positioning

Success Measures

What "Great" Looks Like

Core Data Science

• Experimentation design and causal inference (A/B testing, CUPED, uplift modeling, instrumental variables)
• Predictive modeling: classification, survival analysis, time series, real-time scoring
• Anomaly detection with adversarial thinking (fraud patterns, traffic manipulation, abuse signals)
• Customer analytics: segmentation, LTV modeling, churn prediction, cohort economics

Data Engineering Fluency

• Strong SQL; Python (pandas, scikit-learn, PySpark); comfortable shipping production code
• Event-driven architecture: streaming pipelines and real-time analysis and adaptation (Apache Flink), webhook processing, idempotency, late-arrival handling
• Data modeling: star schemas, semantic layers, data contracts, metric certification
• MLOps: feature stores, model monitoring, CI/CD for analytics, orchestration (Airflow/Dagster)

Product & Commercial Analytics

• Pricing analytics: unit economics, willingness-to-pay estimation, margin optimization
• Funnel analysis for multi-step, multi-channel workflows
• Dashboard design and narrative clarity (Looker, Tableau, dbt metrics layer)
• Packaging and monetization strategy for data products

Domain Expertise (Highly Valued)

• CPaaS, verification, or 2FA: OTP mechanics, deliverability constraints, carrier relationships
• Silent Authentication: network-based verification, success/rejection drivers, integration patterns
• Fraud and risk: traffic pumping, IRSF, bot detection, abuse economics
• Privacy and compliance: GDPR/CCPA, data minimization, audit requirements, customer-facing data controls

Background

• 5–8+ years in data science/analytics, with ≥2 years building and shipping data products
• Track record of translating ambiguous business questions into measurable outcomes
• Experience in B2B SaaS, identity/auth, fintech, messaging/telecom, or fraud analytics preferred
• Demonstrated ability to influence product and pricing decisions with data

Why This Role Matters

Verification is shifting from a cost center to a strategic differentiator. The data infrastructure you build will:

1. Prove value — Give every customer undeniable evidence of ROI
2. Optimize economics — Make every verification faster, cheaper, and more reliable
3. Enable autonomy — Lay the foundation for a platform that routes, optimizes, and protects without human intervention

You'll shape how Vonage—and our customers—think about identity verification as a measurable, optimizable, intelligent system.

#LI-WW1

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

Why Engineering at Dataiku?

Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.

Here are some useful links so you preview what we do at Dataiku: Dataiku's Key Capabilities ; Dataiku's Github, you can also take a look at the Gallery, a public instance showcasing some example projects (note editing is very limited and will be regularly reset). 

Our product is called Dataiku DSS which stands for Dataiku Data Science Studio. If you’d like to know more about it, you can watch the demo here or try the free version here.

How you’ll make an impact

This position is either onsite/hybrid from our Berlin office or full remote from any part of Germany.

As a Fullstack Engineer, you’ll contribute to building Dataiku DSS core features by joining one of the following themes:

• Data Preparation: Develop tools for data integration, transformation, and cataloging, as well as Jupyter notebooks, SQL workbenches, and APIs.
  • Add new capabilities for data integration, transformation, and visualization using LLMs
  • Optimize workflows for large-scale datasets and improve database support
  • Strengthen developer tools like Jupyter notebooks and SQL workbenches
  • Tech stack: Java, Python, AngularJS, Angular

• AI & Machine Learning: Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference.
  • Build next-generation features like cross-provider LLM APIs or integration with the latest Machine Learning models
  • Collaborate with research teams on innovative machine learning experiments
  • Tech stack: Python, scikit-learn, TensorFlow, PyTorch, Java, Angular, AngularJS

• Data Consumption: build the experience that makes data accessible and actionable for everyone.
  • Enhance our collaborative Workspaces to organize and explore charts, dashboards, datasets and more
  • Create innovative interfaces that answer business questions and surface relevant insights using LLMs
  • Tech stack: Angular, AngularJS, Java, Python

• Data Visualization: elevate our data visualization capabilities with high-performance charting tools and dashboards.
  • Develop new chart types and optimize visualization performance
  • Enhance dash boarding capabilities to deliver fast and flexible experiences
  • Tech stack: React, AngularJS, Angular, D3.js, ECharts, Node.js, Java, Spring
    
    
• MLOps: Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration.
  • Build tools to automate retraining, monitoring, and deployment of ML models
  • Enhance collaboration features for ML stakeholders
  • Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker
    
    
• Platform: Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines.
  • Optimize processing engines for scalability and latency
  • Expand capabilities to support new databases and cloud platforms
  • Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP
    
    
• AI Governance: Build features for AI compliance, connecting disparate systems and simplifying governance processes.
  • Develop customizable platforms for managing AI compliance and governance
  • Simplify policy enforcement and integration across disparate systems
  • Tech stack: Java, Angular, PostgreSQL

What you need to be successful 

• We’re stack agnostic, so all you need is a significant experience in software engineering,  building a real product
• We’re hiring at all levels (junior, mid, senior)
• A passion for combining backend performance with exceptional frontend user experience.
• You want to work in a fast-paced, high-growth environment that values diversity of talent, excellence of product, and exciting engineering challenges at scale

What does the hiring process look like?

• Initial call with a member of our Technical Recruiting team (45min)
• Video call with an Engineering Team Lead (1h30)
• Technical Assessment to show your skills (Home Test or Live Coding)
• Final Interviews with our VPs of Engineering (2h)   #LI-Remote

You want more than just a job? Then you've come to the right place! At GoStudent you shape the education of tomorrow! Together with an ambitious team, we are committed to unlocking children's full potential every day. We combine customized tutoring with innovative technology and AI-powered solutions. From personalized AI tutors and exciting lesson summaries to tailor-made learning quizzes and individual feedback, we make the learning journey successful and sustainable for every student.

Your role on our mission:

• The perfect combination - you manage sales & customer success - from the first consultation to long-term support.
• Advise & convince - You advise parents and students, recommend optimal learning solutions and find suitable tutors.
• Generating deals - You generate deals, get families excited about tutoring packages and successfully conclude contracts.
• Build customer relationships - You strengthen customer loyalty, manage your customer base and optimize the learning experience
• Upselling & referrals - You increase sales through upselling strategies and promote referrals in a targeted manner.

What will you bring:

• Native English language skills (C1/C2) - You communicate confidently with English-speaking parents and can get them excited about our offering.
• Sales mindset & initiative - You love to convince people, actively expand your customer base and set yourself ambitious goals.
• Strong communication skills - you are persuasive, listen carefully, find solutions and manage to build trust.
• Experience in sales (2-3 years of experience) - Have you already had your first contact with sales or customer service? Perfect!
• Experience with CRM systems (an advantage) - If you have already worked with CRM tools, you are well prepared.

💡 Your future: This role is your springboard into the world of Sales & Customer Success - and beyond. Your success determines your next step!

Compensation:

Earn up to €45,000 gross per year (base salary + commissions based on targets achieved) - and the best part? Your commissions are unlimited!

The base salary is between €23,000 and €28,000 gross per year, depending on your experience and qualifications.

Our way to develop your full potential:

• Flexible & focused working: Benefit from our hybrid working model with 2-3 flexible days per week and a Meeting Free Friday for undisturbed productivity.
• We grow together: Continue your career with clear development paths and our Spark! Growth & Development program. Get access to 1000s of courses on LinkedIn Learning, our Spark! Mentorship program and monthly learning sessions. Take advantage of 30 free learning sessions to experience GoStudent for yourself
• Work Smart, Play Hard: Our regular team and office events ensure a good atmosphere. We believe in team spirit, celebrating together and having lots of fun.
• Strength through community: Get involved in one of our GoStudent Employee Resource Groups (ERGs) and stand up for issues that are close to your heart.

Openness Statement

We value your unique skills and passion. We don't hire based on age, gender, nationality or political opinion - we value your talent and motivation. Even if you're a unicorn - just like GoStudent: do you believe in having a positive impact? Then apply, even if you don't meet all the requirements. Diversity makes us more creative, more innovative and stronger.Want to find out more? Then visit our career page “who we are”!

If you are ready to rethink education with us, develop yourself in an ambitious team and have a real impact - then apply now! 🚀

Please upload your CV in PDF format, preferably in English as DOC format may not be supported.

Disclose Privacy & Compliance Information

We are looking for a highly motivated Software Engineer in our Furnishing Platform team to build scalable systems and data pipelines to power our consumer credit reporting. You will partner closely with our Product, Compliance, Servicing, and Credit teams to design robust reporting systems. The systems you will work on are vital for delivering accurate and timely data from Affirm’s financial product portfolio to Consumer Reporting Agencies.

Affirm is growing fast and we want you to enable us to scale our products to 10x and beyond through building world-class systems which enable Affirm in its mission to provide honest financial products which improve lives.

We are only just getting started! Come join us as we build a beloved, lasting financial services brand predicated on honesty and trust. It’s going to be an amazing ride!

What You’ll Do

• Own and deliver strategic outcomes: Drive the definition and delivery of quarterly and long-term goals, ensuring your team’s work ladders up to company-wide objectives. Lead engineers through ambiguity and open-ended problems, providing clarity and direction.
• Shape architecture and technical strategy: Influence the design of large-scale data and backend systems across multiple teams. Ensure that solutions are scalable, extensible, and aligned with broader engineering standards.
• Collaborate cross-functionally: Partner with product, analytics, and design to define data-driven solutions. Anticipate risks, articulate trade-offs, and ensure technical decisions support long-term product and business needs.
• Champion operational excellence: Ensure high availability and reliability of data pipelines and services by establishing strong monitoring, alerting, and recovery practices. Drive improvements that reduce system fragility and operational burden.
• Mentor and grow talent: Guide engineers within and beyond your team through mentorship, code/design reviews, and technical leadership. Set high standards for engineering practices and foster a culture of ownership and continuous learning.
• Scale impact beyond your team: Author technical proposals, share best practices via documentation and tech talks, and advocate for improvements that raise the bar for the broader data engineering community.
  
  What We Look For

• Deep technical expertise: 4+ years of experience designing and building large-scale data pipelines and distributed backend systems, with strong proficiency in languages like Python, Kotlin, or similar.
• Systems at scale: Proven track record of delivering high-volume, highly available systems using technologies like AWS, MySQL, Airflow, Spark, and Kubernetes.
• Architectural leadership: Experience defining technical strategies for complex, cross-team initiatives. Ability to design elegant, extensible systems that balance short-term needs with long-term scalability.
• Operational rigor: Skilled at building resilient systems with monitoring, alerting, and safe deployment practices. Comfortable driving significant changes in large, complex codebases.
• Leadership and influence: History of mentoring engineers, unblocking teams, and shaping best practices beyond your immediate group. Ability to navigate ambiguity and drive clarity across stakeholders.
• Strong communication: Excellent verbal and written skills that enable you to influence technical and product decisions across a global engineering org.

Compensation & Benefits

Base Pay Grade - N   

Equity Grade - Poland 4     

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. 

Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).

POL base pay range per year: 301,000 - 401,000 zł    

Additional benefits include:

• Type of employment: Contract of Employment
• Flexible Spending Wallets for tech, food and lifestyle
• Away Days - wellness days to take off work and recharge
• Learning & Development programs
• Parental benefits
• Employee Resource & Community Groups
• This role is eligible for creative tax benefits, subject to applicable law and company policy

The majority of our roles can be located anywhere in Poland.

**This job description is not a contractual document, and is not intended to have binding force.**

#LI-Remote

We are looking for a highly motivated Software Engineer in our Furnishing Platform team to build scalable systems and data pipelines to power our consumer credit reporting. You will partner closely with our Product, Compliance, Servicing, and Credit teams to design robust reporting systems. The systems you will work on are vital for delivering accurate and timely data from Affirm’s financial product portfolio to Consumer Reporting Agencies.

Affirm is growing fast and we want you to enable us to scale our products to 10x and beyond through building world-class systems which enable Affirm in its mission to provide honest financial products which improve lives.

We are only just getting started! Come join us as we build a beloved, lasting financial services brand predicated on honesty and trust. It’s going to be an amazing ride!

What You’ll Do

• Own and deliver strategic outcomes: Drive the definition and delivery of quarterly and long-term goals, ensuring your team’s work ladders up to company-wide objectives. Lead engineers through ambiguity and open-ended problems, providing clarity and direction.
• Shape architecture and technical strategy: Influence the design of backend systems across  multiple teams. Ensure that solutions are scalable, extensible, and aligned with broader engineering standards.
• Collaborate cross-functionally: Partner with product, analytics, and design to define solutions. Anticipate risks, articulate trade-offs, and ensure technical decisions support long-term product and business needs.
• Champion operational excellence: Ensure high availability and reliability of  services by establishing strong monitoring, alerting, and recovery practices. Drive improvements that reduce system fragility and operational burden.
• Mentor and grow talent: Guide engineers within and beyond your team through mentorship, code/design reviews, and technical leadership. Set high standards for engineering practices and foster a culture of ownership and continuous learning.
• Scale impact beyond your team: Author technical proposals, share best practices via documentation and tech talks, and advocate for improvements that raise the bar for the broader data engineering community.
• On-Call Rotation - There would be an on-call rotation for this role as a requirement

What We Look For

• Deep technical expertise: 4+ years of experience designing and building large-scale distributed backend systems, with strong proficiency in languages like Kotlin (or Python as a plus)
• Systems at scale: Proven track record of delivering high-volume, highly available systems using technologies like AWS, MySQL, and Kubernetes (Airflow, Spark, as a plus).
• Architectural leadership: Experience defining technical strategies for complex, cross-team initiatives. Ability to design elegant, extensible systems that balance short-term needs with long-term scalability.
• Operational rigor: Skilled at building resilient systems with monitoring, alerting, and safe deployment practices. Comfortable driving significant changes in large, complex codebases.
• Leadership and influence: History of mentoring engineers, unblocking teams, and shaping best practices beyond your immediate group. Ability to navigate ambiguity and drive clarity across stakeholders.
• Strong communication: Excellent verbal and written skills that enable you to influence technical and product decisions across a global engineering org. Must be proficient in asynchronous mode of communication–written tech specs, wiki, project plans, etc.
• Project management: high degree of organization and ability to surface critical information effectively.

Compensation & Benefits

Base Pay Grade - N

Equity Grade - Spain 4

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. 

Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).

ESP base pay range per year: €85,000 - €115,000

Additional benefits include:

• Flexible Spending Wallets for tech, food and lifestyle
• Away Days - wellness days to take off work and recharge
• Learning & Development programs
• Parental benefits
• Employee Resource & Community Groups

Location - Remote Spain

We are able to offer visa sponsorship for this role, but do require that someone is based in Spain for the role.

In this exciting time of scaling our product and innovating the company with best-in-class business applications, we are looking for a Business Applications Engineer to join our growing team! In this role you will be responsible for coordinating and creating reports and integrations in relation to Super's business applications portfolio.

What you'll be doing:

• Develop, configure, and maintain integrations.
• Serve as a functional advisor for Finance reporting processes in D365 (GL, AP, AR, FA, Budgeting, Projects, etc.).
• Support Finance teams during month-end, year-end, and ongoing operational improvements within reporting and analytics.
• Participate in workshops, requirements gathering, solution design, and UAT.
• Identify opportunities to streamline Finance workflows using automation and best practices.
• Collaborate with Business Applications, IT, and Finance leaders on roadmap execution.
• Maintain documentation, integration diagrams, and operational handbooks.
• Design, build, and optimize Financial and Operational reports using: Power BI, Microsoft Fabric / Data Lakehouse, D365 FinOps data entities & reporting framework
• Work closely with Finance stakeholders to translate business needs into actionable reporting solutions.
• Establish and maintain data models, semantic layers, and reusable datasets.
• Develop, configure, and maintain integrations between D365 FINOPS, EPM tools, Fabric.
• Take ownership over development, deployment and change management (DevOps and Jira).

We're looking for someone with:

• Strong understanding of Finance processes (Accounting, FP&A, Controlling, Reporting).
• Experience working directly with Finance stakeholders and translating requirements.
• Experience in implementing ERP solutions (preferable Dynamics Navision, Business Central or Finance).
• Hands‑on experience with D365 Finance & Operations or other Dynamics ERP systems (AX 2009/2012, D365 BC).
• Experience creating integrations using: • D365 Data Entities, Azure Logic Apps / Azure Functions (preferred) OData, REST APIs
• Strong knowledge of Power BI, Microsoft Fabric, and data modeling.
• Large-scale data processing with PySpark
• Experience with Azure DevOps
• Ability to operate independently and lead small initiatives.
• Strong problem-solving and analytical capabilities.
• Excellent communication skills for cross-functional collaboration.
• Analytical and problem-solving oriented mind.
• Preferably a master's degree, minimum a bachelor's degree
• Fluent in English both verbal and written.
• Base in Zagreb, Bucharest, Madrid, or Malta

About Superbet & Core Experience

Superbet is building the future of entertainment across Europe and Brazil. With millions of monthly active users and over €1B in annual revenue, our Core Experience area owns the surfaces that shape how players discover, play, and engage every day.

Within Core Experience, the Explore tribe drives the experiences that help players find what they love — from our homepage and navigation to our search and discovery systems.

We’re now looking for a Senior or Staff Backend Engineer to help us build the next-generation Search platform that powers discovery across all of Superbet.

The mission

Today, our search experience is fragmented - each vertical (Sports, Casino, Superscore, Supersocial) maintains its own implementation, leading to inconsistent behavior, higher maintenance costs, and missed opportunities for discovery and conversion.

Your mission will be to design, build, and scale a unified search platform that connects these experiences into a single, high-performing system capable of serving millions of queries per day.

You’ll work at the intersection of backend systems, data pipelines, and relevance engineering — shaping how users find and explore content across products, platforms, and geographies.

What you’ll do

• Design and implement distributed backend services that power real-time search and discovery across multiple product verticals.
• Build and optimize indexing, retrieval, and ranking pipelines (e.g., combining BM25 keyword retrieval with vector embeddings and personalization signals).
• Partner with ML, Infra, and Product teams to evolve search relevance, ranking, and experimentation frameworks.
• Architect and evolve API contracts to support multiple clients (web, mobile, internal tools) with low-latency, high-availability performance.
• Drive the technical direction for Search - influencing architecture, observability, scalability, and cost efficiency.
• Contribute to a shared Search platform that other verticals (Sports, Casino, etc.) can extend and build upon.
• Mentor engineers across the Explore tribe, raising the bar for backend design and operational excellence.

Why this role matters

• Search is one of Superbet’s most strategic growth levers - driving discovery, engagement, and conversion across all experiences.
• You’ll shape the core architecture and evolution of a multi-tenant search platform serving millions of players.
• You’ll have significant technical ownership and leadership visibility, collaborating directly with senior engineers, data scientists, and product leaders.
• You’ll be part of a team building the foundations for personalized, context-aware, and experimentation-driven search.

We are looking for

• 6+ years of backend engineering experience (preferably in distributed systems, data platforms, or search domains).
• Deep knowledge of one or more backend languages (Python, Kotlin, Java, Go, Elixir) and proficiency in API design and microservice architecture.
• Experience with search technologies (OpenSearch, Elasticsearch, Lucene, or vector databases such as Pinecone or FAISS).
• Familiarity with indexing pipelines, ranking models, embeddings, or relevance tuning.
• Hands-on experience with streaming and data processing frameworks (Kafka, Spark, Flink, Airflow, etc.).
• Solid understanding of scalability, caching, and performance optimization in high-traffic systems.
• Experience integrating backend services into CI/CD pipelines and monitoring via Datadog, Grafana, or similar tools.
• Strong communication, collaboration, and the ability to work effectively in cross-functional teams.
• Bachelor’s or Master’s degree in Computer Science or a related field.

Bonus points

• Experience designing or operating multi-tenant or cross-domain platforms.
• Background in search relevance, feature stores, or personalization pipelines.
• Exposure to experimentation and A/B testing frameworks.
• Comfort with infrastructure-as-code (Terraform, AWS CDK) and container orchestration (Kubernetes).

We are currently looking for a Senior Data Engineer to join us remotely in Spain. You will work with our EMEA and US customers to help them solve their data engineering, ML, ML Ops, and cloud migration puzzles.

"As a Data Engineer at DATAPAO, you will have the unique opportunity to push the boundaries of technology and lead the way in how data transforms the world. We work with customers who want to innovate and change their industries. So it never gets boring! Sorting out a complex technical puzzle, setting up a new data architecture from scratch, or guiding our customers through adopting the latest technologies is our routine here. Hence, we'd expect you to be more than just a (data) engineer. We'd expect you to breathe and live data, to thrive for knowledge and excellence, and to be keen to build something enduring and impactful for our customers. We'd expect you to be a (data) Paoneer!"  (Máté Gulyás, CEO)

What will you do?

As a Senior Data Engineer, you are expected to deliver (across industries) on some of our most complex projects - individually or by leading small delivery teams. Although we work for the biggest multinational companies where years-long behemoth projects are the norm, our projects are fast-paced, typically 2 to 4 months long. Most are delivered using Apache Spark/Databricks on AWS/Azure and require you to directly manage the customer relationship alone or in collaboration with a Project Manager. Additionally, at this seniority level, we expect you to compound your impact across the team and the organization - by supporting our pre-sales process, mentoring more junior engineers, and contributing to hiring best-in-class data talent.

What does it take to fit the bill?

Technical Expertise

 Consulting & Client-Facing Skills

Operational Readiness & Soft Skills

• In a fast-paced consulting environment, where no two days are the same, flexibility and problem-solving comes naturally to you. Furthermore, resilience and thriving on challenges are essential traits in our industry;

What do we offer?

You'll have the rare opportunity to join DATAPAO at a time when you can still meaningfully impact our growth trajectory and organizational success. Furthermore, as our first-ever Spain hire, you could meaningfully contribute to expanding our local presence and, eventually, establishing a physical hub in this geography.

Surely, we know everyone needs a little something to do their best work. Here is a list of some other extras we offer:  

• The chance to work remotely - as we don't have a physical office in Spain yet, we offer a fully remote setup for the time being. However, given our strong community emphasis, we'd expect you to spend one month in our Budapest hub during onboarding and visit the office for one week every quarter;

• World-class educational benefits - there’s no shortage of learning opportunities at DATAPAO, meaning that you'll get access to Databricks' public and internal courses to learn all the tricks of Distributed Data Processing, MLOps, Apache Spark, Databricks, and Cloud Migration from the best. Additionally, we'll pay for various data & cloud certifications, you'll get dedicated time for learning during work hours, and access to our internal library; 

• Flexible PTO days - we’re flexible with how many days you take off if that does not conflict with customer success and the work getting done;

• Fully paid Medical Leave for up to 15 days per year - because when you’re unwell, we want you to focus on recovery and not worry about your paycheck;

• Comprehensive private health insurance plan via Allianz - offered via our EOR (Employer of Record) provider, Remote.com. Remote will be your official employer in Spain for the foreseeable future until we establish our own legal entity in Spain;

• Employee Assistance Program (EAP) via Allianz & Remote - life always happens! And we'd like to be there for you when it counts the most. Through EAP, we offer our employees access to psychology, financial, and legal consulting services via phone or in person;

• Top-notch working equipment - working comfortably means working well. You will get a MacBook Pro and a sign-up bonus of 500 EUR gross (to be paid with your first payroll) to set up your home office or whatever else is needed to give your best;

• The chance to make an impact in a high-transparency culture - open feedback and no politics are things we value a lot at DATAPAO. Additionally, you'll get the chance to work in the field of data & AI and shape the future of a rapidly growing tech company.

IMPORTANT NOTE: Given that we are still sorting our way in Spain, this list will likely get an update in the following months, and we're also committed to growing it with us over time.

The gross salary for this position ranges from 70.000 to 80.000 EUR/year, depending on your assessed seniority level during the selection process.

Please note that currently we are unable to support transfer or offer full sponsorship for Skilled Worker visas as we’re just setting foot into Spain.

Role Purpose

LevelTen Energy’s mission is to accelerate the energy transition by facilitating frictionless transactions. As the leading provider of renewable transaction infrastructure, we deliver the cloud-based software, centralized supply, automated analytics, and transaction expertise required to power the renewable energy economy. The LevelTen Platform is the world’s largest online hub for renewable energy buyers, sellers, advisors, asset owners and financiers, and delivers the online tools and expertise they need to buy, sell and finance assets quickly.

Join us on a mission that matters.

We are looking for a Platform Sales Associate to join our European Platform Sales team as a high-impact contributor. You will be the engine room of our growth: part high-energy hunter, part strategic product expert. If you are as comfortable pitching to a VP-level individual as you are digging into the technical mechanics of a marketplace, this is your launchpad.

Reporting directly to the Platform Sales Director in Europe, you will act as a force multiplier for our sales organization. You will own the "front end" of our customer journey, creating the pipeline that powers our subscription sales to the renewable energy sector. 

Duties and Responsibilities

• Qualifying with Authority
  • Rapid Response & Discovery: Manage and qualify all inbound inquiries, conducting deep-dive discovery calls to assess a prospect's energy portfolio, sustainability needs, and technical readiness.
  • Data Integrity & CRM Excellence: Leverage Salesforce as your daily "command center," ensuring meticulous data hygiene to provide the leadership team with real-time pipeline visibility and better decision-making power.
• Generating Technical Momentum 
  • Strategic Outbound Prospecting:  Partner with the Senior Seller for Utilities and Renewable Energy Developers to identify "Ideal Customer Profiles" and execute personalized, multi-channel outreach campaigns that spark interest in our platform.
  • The "Win Plan" Collaboration: Conduct deep-dive research and assist in the creation of strategic account plans, coordinating between the prospect's requirements and our platform's capabilities to accelerate the sales cycle
• Demonstrating the Platform Value
  • Tailored Platform Demos: Build and deliver custom walkthroughs that address the core challenges and objectives that are uniquely identified for each customer.
  • Data-Driven Messaging: Discover the customer's business needs, and position the best LevelTen solutions or compelling insights (such as regional pricing trends or PPA insights) that demonstrate immediate platform value to sophisticated energy stakeholders.
• Ability to travel periodically 

Qualifications

• 2–4 Years of Professional Experience: Ideally in Sales at a fast-faced B2B SaaS environment or the Energy sector.
• Bachelor’s Degree Required: Preferred fields include Business, Economics, Engineering, or Environmental Science.
• Salesforce Power Use: You are comfortable managing leads, accounts, and reporting with extreme attention to detail.
• Exemplary problem-solving skills and the resourceful ability to take initiative
• Superior organizational skills and attention to detail
• Solid oral, written, presentation, collaboration and interpersonal communication skills
• Competitive spirit and the drive for results
• Coachable and thrives in the ever-changing energy landscape
• Fluency in English
• Multilingual: Given the focus on the European market, fluency in other European languages is a significant plus.

Benefits / Perks

• Health Insurance Allowance
• Telecommunication Allowance
• Wellness Credit
• Ticket Restaurants

In the Madrid office:

• Casual dress code
• Standing desks
• Regular company-sponsored events
• Hybrid in-office/work from home schedule

Additional Information

• This position is based out of our office in Madrid (hybrid work schedule). 
• Contract Type: Contrato Indefinido (Full-Time / Permanent)

About LevelTen Energy

LevelTen Energy is the leading provider of transaction infrastructure for the clean energy transition, connecting buyers, sellers, and financiers through an international marketplace powered by trusted data and automation. The LevelTen Marketplace supports power purchase agreements (PPAs), energy attribute credits (EACs), capacity, hybrid PPAs, granular certificate trading, and storage, so organizations can execute and manage clean energy transactions with confidence. With a network of more than 1,300 project developers in 35 countries, LevelTen is advancing carbon-free energy markets by making them more transparent, liquid, and accessible. Learn more at LevelTenEnergy.com.

Data Privacy & GDPR

By applying for this position, you consent to LevelTen Energy processing your personal data for recruitment purposes in accordance with the General Data Protection Regulation (EU) 2016/679. You may exercise your rights of access, rectification, or deletion at any time at legalnotices@leveltenenergy.com. 

Our Data & Engineering community is growing, and we’re now looking for a Senior Data Consultant (m/f/*) to join our team in Spain, supporting our global growth.

As a Senior Data Consultant, you will combine deep hands-on experience in modern data platforms — particularly Databricks — with a strategic, client-oriented mindset. You’ll advise organizations on how to design, implement, and scale data-driven architectures, while guiding them through every stage of their digital transformation journey.

WHAT WE OFFER

• Flexible work options, including fully remote or hybrid arrangements (candidates must be located in Spain)
• The chance to accelerate your career and work with outstanding colleagues in a collaborative, global learning community across three continents
• Opportunities to shape cutting-edge data projects and see your ideas implemented in real-world solutions
• Balance your work and personal life: choose to work from home, in the office, or in a hybrid setup
• Annual performance reviews and continuous feedback focused on collaboration and growth, not hierarchy
• A personalized development plan and professional advancement opportunities
• Access to learning resources — paid certifications, unlimited Udemy Business, and more
• Local, virtual, and global team events to connect with colleagues worldwide

WHAT YOU’LL DO

• Advise clients on the design and implementation of scalable data architectures using Databricks Lakehouse Platform, with a strong focus on Apache Spark, Delta Lake, and Unity Catalog
• Translate complex business requirements into data strategies, architecture blueprints, and technical roadmaps
• Design, implement, and optimize data pipelines for analytics, machine learning, and business intelligence workloads
• Collaborate with stakeholders — from executives to technical teams — to align data initiatives with business goals
• Ensure data quality, governance, and security best practices within Databricks and related ecosystems
• Support pre-sales and discovery activities by identifying client needs and defining technical approaches
• Mentor junior consultants and contribute to the growth of our Databricks and data consulting expertise
• Stay current with emerging technologies and trends in cloud data platforms and AI-driven analytics

WHAT YOU’LL BRING

• Proven experience in data consulting or architecture, with hands-on expertise in Databricks on Azure, AWS, or GCP
• Deep knowledge of Spark (PySpark/Scala), Delta Lake, and MLflow
• Strong programming skills in Python or Scala, and experience with CI/CD pipelines (GitHub Actions, Azure DevOps, etc.)
• Solid understanding of data modeling, distributed computing, and performance optimization in cloud environments
• Experience advising or working directly with enterprise clients on data modernization or cloud migration projects
• Familiarity with orchestration tools (e.g., Databricks Workflows, Airflow) and infrastructure-as-code (e.g., Terraform)
• Excellent communication and stakeholder management skills, with the ability to translate technical solutions into business value
• Professional proficiency in Spanish and English (C1 level, written and spoken)

Did we pique your interest, or do you have any questions?
We’d love to hear from you — contact us at recruiting@ultratendency.com

Our Engineering community is growing, and we’re now looking for a Senior Data Engineer (m/f/*) to join our team in Spain, supporting our global growth.

WHAT YOU’LL DO

Our Engineering community is growing, and we’re now looking for a Senior Data Engineer - Databricks (m/f/*) to join our team in Spain, supporting our global growth.

WHAT YOU’LL DO

The Deal Reporting team is responsible for building our critical capital partner integrations, as well as services to automate funding processes safely and reliably. We partner with Product and Capitals Markets teams to understand and implement complex financial structures, integrations and reporting. We are looking for a highly motivated Staff Software Engineer to help empower Deal Reporting's first international team, and build integrations, services, and testing infrastructure to power the funding of every Affirm loan.

What You'll Do:
· You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects.
· You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed.
· You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes.
· You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, polcities, testing and alerting in place to support “keep the lights on” & on-call efforts.
· You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
· You will help develop talent on your team by providing feedback and guidance, and leading by example.

What We Look For:
· You have 7+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
· You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, and Kubernetes.
· Knowledge of Spark and it’s inner workings is a must.
· Knowledge on task orchestration systems like Airflow or Temporal is a good to have.
· You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others.
· You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work.
· Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers.
· You have strong verbal and written communication skills that support effective collaboration with our global engineering team.

Compensation & Benefits

Base Pay Grade - P

Equity Grade - Poland 5

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. 

Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).

POL base pay range per year: 358,000 zł - 458,000 zł  

Additional benefits include:

• Type of employment: Contract of Employment
• Flexible Spending Wallets for tech, food and lifestyle
• Away Days - wellness days to take off work and recharge
• Learning & Development programs
• Parental benefits
• Employee Resource & Community Groups

This role is eligible for creative tax benefits, subject to applicable law and company policy.

This job description is not a contractual document, and is not intended to have binding force.

Location - Remote Poland

The majority of our roles can be located anywhere in Poland.

#LI-Remote

The Deal Reporting team is responsible for building our critical capital partner integrations, as well as services to automate funding processes safely and reliably. We partner with Product and Capitals Markets teams to understand and implement complex financial structures, integrations and reporting. We are looking for a highly motivated Staff Software Engineer to help empower Deal Reporting's first international team, and build integrations, services, and testing infrastructure to power the funding of every Affirm loan.

What You'll Do:
· You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects.
· You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed.
· You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes.
· You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, polcities, testing and alerting in place to support “keep the lights on” & on-call efforts.
· You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
· You will help develop talent on your team by providing feedback and guidance, and leading by example.
· “On-Call Rotation - There would be an on-call rotation for this role as a requirement”.

What We Look For:
· You have 7+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
· You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, and Kubernetes.
· Knowledge of Spark and it’s inner workings is a must.
· Knowledge on task orchestration systems like Airflow or Temporal is a good to have.
· You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others.
· You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work.
· Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers.
· You have strong verbal and written communication skills that support effective collaboration with our global engineering team.

Compensation & Benefits

Base Pay Grade - P

Equity Grade - 6

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. 

Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).

ESP base pay range per year: €101,000  -  €131,000    

Additional benefits include:

• Flexible Spending Wallets for tech, food and lifestyle
• Away Days - wellness days to take off work and recharge
• Learning & Development programs
• Parental benefit
• Employee Resource & Community Groups

We are able to offer visa sponsorship for this role, but do require that someone is based in Spain for the role.

We are seeking a skilled Data Engineer to join our Mobile Growth Platform UA team in Barcelona. The ideal candidate will be responsible for building, maintaining, and optimizing our data infrastructure, ensuring seamless data flow and accessibility for ML and DA, analytical and business needs.

Key Responsibilities:

• Design and build scalable data pipelines: Architect, construct, and maintain robust ETL/ELT pipelines using the Databricks platform (Apache Spark, Delta Lake, Delta Live Tables) for batch and streaming data ingestion from various sources.
• Manage data architecture: Define and maintain a scalable and secure data platform architecture that integrates Databricks (for data lakehouse management and complex transformations) with specialized OLAP engines (ClickHouse/Druid for fast querying).
• Design, develop, test, and orchestrate data workflows to streamline pipelines.
• Optimize performance and reliability: Monitor, troubleshoot, and fine-tune data workflows and database performance (e.g., Spark job optimization, ClickHouse schema tuning, Druid data partitioning) to ensure maximum efficiency and reliability.
• Contribute to the development of internal tools for automating data processes and business workflows, enhancing efficiency and scalability.
• Collaborate closely with product, MLOps and data science teams to ensure an optimal data experience for all ML practitioners and data consumers.

Requirements:

• 3-5+ years of professional work experience in data engineering.
• Strong expertise in Python and common data frameworks (Pandas, PySpark).
• Experience with modern data storage solutions: Data lakes (Delta tables), and data warehouses.
• Experience with data orchestration tools (Dagster, Airflow).
• Experience with streaming technologies (Kafka, Spark structured streaming).
• Experience with cloud platforms (AWS S3, EC2 etc.)
• OLAP Databases: Hands-on experience with ClickHouse and/or Apache Druid for real-time analytics and low-latency data serving.
• Strong problem-solving skills and ability to excel in a fast-paced startup environment.
• Based in Barcelona or ready to relocate to Barcelona.

Nice to have:

• Experience with Databricks platform.
• Experience in building ML data platforms.

We are looking for an experienced Lead Data Scientist to add to our Data Science team.

Responsibilities:

• Drive the team’s data science vision and ensure alignment with business goals, focusing on ad-tech and revenue optimization.
• Guide and support the growth of data scientists, fostering a collaborative and innovative environment.
• Oversee the development of scalable, high-impact models for ad targeting, bid strategy, and performance analysis.
• Ensure the efficiency and relevance of data pipelines and models, adapting to the dynamic tech landscape.

Technology Stack:

• Proficiency in Python and SQL.
• Experience with manipulation frameworks such as PySpark and Pandas.
• Skilled at using cloud services such as AWS, etc.
• Hands-on experience in DNN models training libraries and frameworks (PyTorch, Hydra, comet etc.)

Qualifications:

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
• 5+ years of experience in data science, preferably in a product-focused environment.
• 2+ years experience in AdTech.
• 2+ years experience in a leading role.
• Strong analytical skills with the ability to derive insights from complex datasets.
• Proficiency in statistical modeling and machine learning techniques.
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
• Based in Barcelona, Spain or ready for relocation.

Why Join Us:

• Opportunity to work on cutting-edge projects with a global impact in the mobile app industry.
• A collaborative and inclusive work culture that values innovation and continuous learning.
• Competitive salary, flexible work arrangements, and comprehensive benefits package.
• Professional development opportunities and career growth prospects within a fast-growing company.

¿Quieres más que solo un trabajo? ¡Entonces has llegado al lugar correcto! En GoStudent, ¡tú moldeas la educación del futuro! Junto con un equipo ambicioso, nos dedicamos todos los días a desbloquear el máximo potencial de los niños. Combinamos tutorías personalizadas con tecnología innovadora y soluciones impulsadas por IA. Desde tutores de IA personalizados y resúmenes de lecciones dinámicos hasta cuestionarios de aprendizaje hechos a medida y retroalimentación individual, hacemos que el aprendizaje sea exitoso y sostenible para cada estudiante.

Tu papel en nuestra misión:

• La combinación perfecta – Gestionas ventas y éxito del cliente, desde la primera consulta hasta el soporte a largo plazo.
• Asesorar y convencer – Aconsejas a padres y estudiantes, recomiendas las mejores soluciones de aprendizaje y encuentras tutores adecuados.
• Generar acuerdos – Cierras acuerdos, entusiasmas a las familias con nuestros paquetes de tutoría y concluyes contratos con éxito.
• Construir relaciones con los clientes – Fortaleces la fidelización, gestionas tu cartera de clientes y optimizas la experiencia de aprendizaje.
• Upselling y referencias – Aumentas las ventas mediante estrategias de upselling y fomentas recomendaciones de manera estratégica.

Lo que aportarás:

• Excelentes habilidades en español (C1/C2) – Te comunicas con confianza con padres de habla española y los entusiasmas con nuestra oferta.
• Mentalidad de ventas e iniciativa – Te encanta convencer a la gente, ampliar activamente tu cartera de clientes y fijarte objetivos ambiciosos.
• Habilidades de comunicación sólidas – Eres persuasivo, escuchas atentamente, encuentras soluciones y logras generar confianza.
• Experiencia en ventas o servicio al cliente (una ventaja) – ¿Ya has tenido contacto con ventas o atención al cliente? ¡Perfecto!
• Experiencia con sistemas CRM (una ventaja) – Si has trabajado con herramientas CRM, estarás bien preparado.

💡 Tu futuro: Este rol es tu trampolín al mundo de las ventas y el éxito del cliente, ¡y más allá! Tu éxito determinará tu próximo paso.

Compensación:

Gana hasta 35.000 € brutos al año (salario base + comisiones según objetivos alcanzados), ¡y lo mejor es que tus comisiones no tienen límite!

El salario base está entre 18.000 € y 20.000 € brutos anuales, dependiendo de tu experiencia y cualificaciones.

Cómo desarrollamos tu máximo potencial:

• Trabajo flexible y enfocado: Benefíciate de nuestro modelo híbrido con 2-3 días flexibles a la semana y un viernes sin reuniones para una productividad sin interrupciones.
• Crecemos juntos: Continúa tu carrera con planes de desarrollo claros y nuestro programa Spark! Growth & Development. Accede a miles de cursos en LinkedIn Learning, nuestro programa de mentoría Spark!, y sesiones de aprendizaje mensuales. Aprovecha 30 sesiones gratuitas de aprendizaje para vivir la experiencia GoStudent.
• Work Smart, Play Hard: Nuestros eventos regulares de equipo y oficina garantizan un gran ambiente. Creemos en el espíritu de equipo, en celebrar juntos y en divertirnos.
• Fortaleza a través de la comunidad: Participa en uno de nuestros Employee Resource Groups (ERGs) y defiende causas que te apasionen.

Declaración de Inclusión 

Valoramos tus habilidades y pasión únicas. No contratamos en función de la edad, género, nacionalidad u opinión política; valoramos tu talento y motivación. Incluso si eres un unicornio, como GoStudent: ¿crees en generar un impacto positivo? Entonces postúlate, incluso si no cumples con todos los requisitos. La diversidad nos hace más creativos, innovadores y fuertes.

¿Quieres saber más? ¡Visita nuestra página de carreras "Quiénes somos"!

Si estás listo para reinventar la educación con nosotros, crecer en un equipo ambicioso y generar un impacto real, ¡postúlate ahora! 🚀

📄 Por favor, sube tu CV en formato PDF, preferiblemente en inglés, ya que el formato DOC puede no ser compatible.

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Join Our Talent Pool for Sales Opportunities at GoStudent!

Are you passionate about education and excited to be part of an innovative, fast-growing EdTech company? We are GoStudent, and we’re on a mission to transform learning by helping students unlock their full potential with personalized, high-quality tutoring. We’re always looking for driven, dynamic individuals to join our Sales Team!

If you have experience managing B2C inbound leads and are fluent in German, we want to hear from you! 

By joining our talent pool, you'll be one of the first to hear about upcoming opportunities in our sales department.

What to Expect:

• Engage with potential clients and guide them through the customer journey.
• Build and maintain strong relationships with your own portfolio of clients.
• Collaborate with a supportive, international team while achieving personal and team goals.