The Mission

We are building more than a calculation engine; we are building an integrated global financial ecosystem. As a Principal Engineer, you will own the end-to-end lifecycle of payroll data—from the moment an employee is onboarded in a third-party HRIS, through our deterministic bitemporal calculation engine, to the final generation of global payment files and statutory reporting.

You are an architect who writes code, a data engineer who understands state, and an integration expert who knows that a payroll system is only as good as the data flowing into it.

The Stack

• Core Engine & Data: Python (NetworkX, Pydantic, Decimal), PostgreSQL (Bitemporal modeling, dbt for analytics).
• Integrations & Pipelines: Node.js/TypeScript, Event-sourced architecture (Message Queues, Webhooks).
• The Ecosystem: Deep integrations with HRIS/HCMs (Workday, HiBob, BambooHR) and Ebury’s Payments architecture.
• AI-Augmentation: Claude Code for development and AI-driven data extraction.

What You’ll Own (The End-to-End Scope)

1. The Calculation Engine: Design the DAG-based resolver and bitemporal logic to handle complex, multi-jurisdictional payroll math with 100% accuracy.
2. Data Ingestion & Transformation: Architect the pipelines that ingest messy, unstructured data from fragmented HRIS sources and transform it into our deterministic PayrollRuleSchema.
3. Third-Party Integrations: Build robust, API-first connectors and "Outbox" pattern event systems to sync data across the global HR/Fintech stack.
4. The Payment & Reporting Rail: Own the generation of complex output artifacts—from ISO 20022 payment files to localized tax filings and GL (General Ledger) reports.
5. Bitemporal Data Strategy: Ensure the entire data lake supports "As-Of" reporting, allowing users to reconstruct the state of any payroll run at any point in history.

Your Pedigree

• The Full-Stack Backend Mindset: You are equally comfortable optimizing a recursive SQL query as you are designing a resilient webhook listener or a topological sort algorithm.
• Data Pipeline Veteran: You have experience with ETL/ELT patterns, data validation frameworks, and ensuring Exactly-Once processing in financial systems.
• Domain Expertise: You’ve built at Deel, Rippling, Papaya Global or similar Tech-first Global Payroll and Payments company, and you understand that "Integrations" aren't just about APIs—they’re about mapping conflicting data models across cultures.
• Architectural Leadership: You can bridge the gap between "Product needs this integration tomorrow" and "Our data model needs to remain pure for the next 5 years."

The "Hard" Requirements

• Deep Polyglot Backend Skills: Expertise in Python (for the engine) and Node.js/TypeScript (for the integration layers).
• PostgreSQL Mastery: You understand bitemporality, window functions, and how to manage schema evolution in a multi-tenant SaaS environment.
• Location: London (Preferred), Madrid, or Malaga (4 days/week in-office).

At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

The Data Office is responsible for data associated with products, AI, marketing, finance, sales, and more. Our department ensures that all teams at JetBrains have access to up-to-date, reliable, and transparent data and data services.

As part of our growth strategy, we are looking for an experienced, detail-oriented, and self-motivated BI Analyst to develop, maintain, and enhance BI reports and dashboards for our internal customers across corporate functions, including marketing, IT, PMO, and others.

As part of our team, you will:

• Design, develop, and automate reports and dashboards for several of our data domains, such as marketing, IT, and executive reporting.
• Partner with the Data Quality team to define and implement rules that ensure high data reliability standards.
• Continuously engage with other colleagues at JetBrains, including team clients, data partners, data engineers, and data analysts, to gather and refine business requirements.
• Promote best practices in data visualization.
• Participate in both business-driven and technical projects.

We’ll be happy to have you on our team if you have:

• Extensive SQL experience.
• At least three years of experience with Tableau – experience with Metabase or alternative BI tools is a plus.
• Strong knowledge of and experience with dbt.
• Strong attention to detail and the ability to identify small but important differences.
• Ability to work independently, take ownership of tasks, analyze problems, and deliver results within agreed-upon deadlines.
• Fluent English, both written and spoken.
• Proactive mindset.
• Dedication to knowledge sharing and cross-team collaboration.

We’ll be especially thrilled if you have:

• Basic experience in DWH development.
• Basic experience with AWS. 
• Experience in marketing, including marketing metrics, data structures, and marketing data.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible. 
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI

#LI-KP1

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

What you will do

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

Where you will have impact

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

About our team

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

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

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

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

What's in it for you?

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

Who you are

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

We welcome

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

Technologies you will work with

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

Data Engineer: Drive our AI Revolution & Data Ecosystem

Location: Madrid (Hybrid: 4 days office / 1 day WFH)

Stack: Python, SQL, Airflow, dbt, DuckDB, GCP, DLT, Docker.

Why Ebury?

At Ebury, we don’t just move money; we move the boundaries of what Fintech can achieve. Our strategic growth is powered by Data, and we are looking for a Data Engineer who wants to be at the heart of this transformation.

We aren't looking for "Jira ticket closers." We want problem solvers, tech enthusiasts, and proactive engineers who want to understand the why and for what behind the data and propose high-value projects that move the needle for the business.

The Challenge: Beyond Pipelines to AI-Ready Systems 

We are at an inflection point. Beyond maintaining a robust platform, we have a massive appetite for Machine Learning, LLMs, and Agents. Your mission won't just be moving bytes; it will be building the infrastructure that enables Ebury to lead the Gen-AI revolution in the financial sector.

Your Cutting-Edge Toolkit:

• Orchestration: Airflow (Cloud Composer) is our backbone.
• Cloud Power: The full GCP suite (GKE, Cloud Run, Functions, Artifact Registry).
• Smart Ingestion: We leverage DLT (Data Load Tool) to build seamless and scalable data pipelines.
• Modeling & Quality: We use dbt at scale, integrating DuckDB to enforce bulletproof Data Contracts.
• DevOps Culture: Dockerized environments and solid CI/CD are our standard in Github Actions.

What You'll Do

• Architect & Innovate: Design, deploy, and evolve ELT/ETL pipelines from diverse sources (APIs, transactional DBs, file-based endpoints).
• Champion AI/ML: Actively contribute to building the infrastructure for ML models and LLM-powered Agents.
• Business Partnership: Work closely with stakeholders to identify high-impact opportunities. If you see a better way to do things, you have the autonomy to lead it.
• Engineering Excellence: Apply top-tier software practices (SDLC, RFCs, unit testing) to ensure our platform is a benchmark for scalability.
• Growth & Mentorship: Benefit from a personalized 30/60/90 day plan designed to help you thrive from day one.

About You

You’ll be a great fit if:

• Python & SQL Mastery: You have a deep command of both (+5 years of experience).
• Agile Problem Solver: You thrive on unexpected daily challenges, delivering smart technical solutions at speed and iterating them into robust, production-grade systems. 🚀
• Business Partner: You are proactive and "business-curious", you want to understand the impact of your code on the bottom line.
• You are fluent in English (we are a global team!).

Bonus Points:

• Hands-on experience with LLMs, Vector Databases, or AI Agents. 
• Deep knowledge of DuckDB or DLT.
• Strong foundations in Dimensional Modeling and Data Warehousing.
• Spanish language skills (a plus for office life in Madrid!).

What We Offer

• Competitive Salary + Performance-based discretionary bonus.
• Vibrant Culture: Join a collaborative environment where Data Engineers, Data Scientists, Analytics Engineers, and Analysts work as one.
• Work-Life Balance: A modern hybrid model in our Madrid office to keep the team spirit alive while respecting your focus time.
• Open Source DNA: We follow Open Source principles internally and encourage you to contribute to external projects.
• Continuous Learning: Personal development through certifications and specialized training.

Excited about the role but don't tick every single box? Apply anyway! At Ebury, we value potential, proactivity, and a growth mindset over a perfect checklist. 

#LI-JC1

#LI-HYBRID

About the Role

At Fever, we are building a federated data organization that combines centralization where it’s essential and autonomy where it creates value. Our teams leverage modern data platforms (Snowflake, DBT, Airflow, DataHub, Metabase, etc.). At the same time, we are developing our own technology to deliver high-quality data products across multiple business domains.

As an Analytics Engineer, you’ll be the bridge between data engineering and business analytics, ensuring that our stakeholders can make decisions on reliable, well-modeled, and discoverable datasets.

What You’ll Do

• Design, build, and maintain data models (DBT, SQL) that transform raw data into clean, trusted datasets for self-service and reporting.
• Collaborate with the data engineering team to define and certify business-critical metrics (revenue, engagement, marketing performance, B2B KPIs, etc.).
• Work with business squads (B2B, Marketing, CRM, Product) to understand their needs and turn them into reusable data assets.
• Ensure data quality and consistency, partnering with the data engineering team on testing frameworks, observability, and governance.
• Support self-service analytics by enabling stakeholders to explore data confidently by leveraging existing viz and BI tools or driving custom developments to let the data tell a complete story.
• Contribute to Airflow pipelines in Python, supporting automation and orchestration needs.
• Contribute to our data mesh vision, creating domain-owned datasets while following platform and engineering guidelines.
• Leverage Agentic AI, Claude Code, and other advanced AI tools in your day-to-day workflow to accelerate development cycles, boost efficiency, and maximize your overall impact.

What You Bring

• Fluent in Spanish and English; you’ll communicate in Spanish with local teams and in English with global teams
• A Bachelor’s, Master’s, or PhD in Computer Engineering, Data Engineering, Data Science, or a related field.
• A collaborative mindset: comfortable working with both engineers and business stakeholders.
• Strong communication skills, adaptable to a multidisciplinary, international, and fast-paced environment.
• A keen interest in understanding a complex business landscape and to drive the company forward by providing the data to answer the most valuable questions
• Strong experience with SQL and data modeling (star/snowflake schemas, data vault, or similar).
• Hands-on experience with DBT (or similar transformation frameworks).
• Hands-on experience with Python and orchestration frameworks (Airflow, Dagster, Prefect).
• Familiarity with modern cloud data warehouses (Snowflake, BigQuery, Redshift, etc.).
• Experience with BI tools (Metabase, Superset, Tableau, etc.).
• Understanding of data quality, governance, and observability practices.
  
  

Nice to Have

• Experience in a federated or data mesh environment.
• Familiarity with data catalog tools (DataHub, Collibra, Amundsen).
• Exposure to analytics in domains like marketing, CRM, or B2B reporting.
• Hands-on experience or strong interest in leveraging Agentic AI and coding assistants (like Claude Code or Copilot) to accelerate data workflows and development.

Benefits & Perks

• Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance
• Stock options
• Responsibility from day one and professional and personal growth
• Opportunity to have a real impact in a high-growth global category leader
• 40% discount on all Fever events and experiences
• Home office friendly
• Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
• English Lessons
• Gympass Membership
• Possibility to receive in advance part of your salary by Payflow

Interview Process

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

• Talent Interview
• Technical Interview (90')
• Manager Interview

Data Analyst - FCC Reporting

Location: Málaga or Madrid (Spain) - Hybrid: 4 days in the office, 1 day working from home per week

Ebury’s strategic growth plan would not be possible without our Data Analytics & Compliance team and we are seeking a Data Analyst to join our Regulatory FinCrime Compliance domain!

Our data mission is to enable effective risk detection, monitoring and regulatory compliance through robust data models, scalable analytics and high quality reporting. 

The team works closely with Compliance, Risk and Product to design and implement data-driven controls, detection mechanisms, and investigative tools across multiple jurisdictions.

Projects range from building curated data models to cover global key risk indicators for financial crime compliance and automating into standardised board packs, to scaling our regulatory reporting engine to incorporate datasets specific to transaction monitoring, screening and client KYC.

As part of the team you will  

• Design and maintain data models and datasets used for transaction monitoring, customer risk scoring, and financial crime investigations.
• Own end-to-end delivery of FinCrime analytics solutions: requirements gathering, data extraction, transformation, validation, and deployment. 
• Develop and optimise detection logic and monitoring rules (e.g. transaction monitoring scenarios, anomaly detection, behavioural patterns).
• Perform data quality checks and controls to ensure completeness, accuracy, and auditability of FinCrime datasets.
• Build dashboards and analytical tools (Looker / Looker Studio or similar) for monitoring risk exposure, alerts, and investigation pipelines.
• Support regulatory and internal audits, providing traceability of data, methodologies, and controls.
• Contribute to the automation and continuous improvement of FinCrime processes (screening, monitoring, alert handling).

What we’re looking for 

• 2-4 years Experience in Data/Business Analytics – preferably within FinCrime, Compliance, Risk, or Financial Services.
• Advanced SQL skills – able to read and write queries across complex datasets.
• Experience with our modern data stack tools is a plus: dbt, Google Cloud BigQuery, Looker / Looker Studio, Git.
• Experience building data pipelines, transformations, and analytical datasets.
• Solid understanding of financial crime frameworks.
• Experience working with Python is desirable.
• Knowledge of payment flows, FX, or banking products is desirable.
• Strong analytical thinking with focus on data quality, controls, and risk interpretation.
• Experience working with transaction monitoring systems or alerting frameworks is a plus.
• Ability to translate regulatory and compliance requirements into data logic.
• Fluency in English (Spanish, a plus)

What Ebury offers you

• Competitive salary conditions
• Private health insurance, gympass and access to Meditopia
• Support to progress your career in the Data & Analytics world
• Work in a collaborative environment and contribute to a new data infrastructure built on a modern data stack
• Flexible workplace environment (hybrid model, 4 days office / 1 day remote)
• 23 days of annual leave plus your birthday off and all the Málaga public holidays.
• Fun in-person off-sites and virtual get-togethers
• Personal development including language courses

#LI-JC1

#LI-HYBRID

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

About the Role

At Fever, we are building a federated data organization that combines centralization where it’s essential and autonomy where it creates value. Our teams leverage modern data platforms (Snowflake, DBT, Airflow, DataHub, Metabase, etc.). At the same time, we are developing our own technology to deliver high-quality data products across multiple business domains.

As an Analytics Engineer, you’ll be the bridge between data engineering and business analytics, ensuring that our stakeholders can make decisions on reliable, well-modeled, and discoverable datasets.

What You’ll Do

• Design, build, and maintain data models (DBT, SQL) that transform raw data into clean, trusted datasets for self-service and reporting.
• Collaborate with the data engineering team to define and certify business-critical metrics (revenue, engagement, marketing performance, B2B KPIs, etc.).
• Work with business squads (B2B, Marketing, CRM, Product) to understand their needs and turn them into reusable data assets.
• Ensure data quality and consistency, partnering with the data engineering team on testing frameworks, observability, and governance.
• Support self-service analytics by enabling stakeholders to explore data confidently by leveraging existing viz and BI tools or driving custom developments to let the data tell a complete story.
• Contribute to Airflow pipelines in Python, supporting automation and orchestration needs.
• Contribute to our data mesh vision, creating domain-owned datasets while following platform and engineering guidelines.
• Leverage Agentic AI, Claude Code, and other advanced AI tools in your day-to-day workflow to accelerate development cycles, boost efficiency, and maximize your overall impact.

What You Bring

• Fluent in Spanish and English; you’ll communicate in Spanish with local teams and in English with global teams
• A Bachelor’s, Master’s, or PhD in Computer Engineering, Data Engineering, Data Science, or a related field.
• A collaborative mindset: comfortable working with both engineers and business stakeholders.
• Strong communication skills, adaptable to a multidisciplinary, international, and fast-paced environment.
• A keen interest in understanding a complex business landscape and to drive the company forward by providing the data to answer the most valuable questions
• Strong experience with SQL and data modeling (star/snowflake schemas, data vault, or similar).
• Hands-on experience with DBT (or similar transformation frameworks).
• Hands-on experience with Python and orchestration frameworks (Airflow, Dagster, Prefect).
• Familiarity with modern cloud data warehouses (Snowflake, BigQuery, Redshift, etc.).
• Experience with BI tools (Metabase, Superset, Tableau, etc.).
• Understanding of data quality, governance, and observability practices.
  
  

Nice to Have

• Experience in a federated or data mesh environment.
• Familiarity with data catalog tools (DataHub, Collibra, Amundsen).
• Exposure to analytics in domains like marketing, CRM, or B2B reporting.
• Hands-on experience or strong interest in leveraging Agentic AI and coding assistants (like Claude Code or Copilot) to accelerate data workflows and development.

Benefits & Perks

• Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance
• Stock options
• Responsibility from day one and professional and personal growth
• Opportunity to have a real impact in a high-growth global category leader
• 40% discount on all Fever events and experiences
• Home office friendly
• Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
• English Lessons
• Gympass Membership
• Possibility to receive in advance part of your salary by Payflow

Interview Process

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

• Talent Interview
• Technical Interview (90')
• Manager Interview

Architect the "Source of Truth" for a Global Marketplace

At Groupon, data isn't just a byproduct—it is the product. We are looking for a Senior Data Analytics Engineer to bridge the gap between raw infrastructure and business insight. You won't just write queries; you will architect the semantic layer of our data warehouse, ensuring that every dashboard, AI model, and executive decision is built on a foundation of trust.

This is a high-impact Individual Contributor role for a builder who loves SQL, obsesses over data modeling, and wants to solve complex problems at a global scale.

The AI Advantage 🤖

We don't just analyze AI; we build with it. You will work in an AI-First environment, leveraging LLMs (ChatGPT, Claude, Copilot) daily to:

• Accelerate SQL generation and refactoring.

• Automate documentation and data lineage.

• Build specific "Feature Stores" that power our Machine Learning models.

What You’ll Build & Own

• The Gold Layer: Design and maintain clean, reusable, and documented data marts in BigQuery that serve as the single source of truth for the company.

• Pipeline Orchestration: Build robust ELT pipelines using Airflow or Keboola. If a pipeline fails at 3 AM, your code is resilient enough to handle it.

• Performance Engineering: Optimize SQL for massive scale. You understand clustering, partitioning, and execution plans to ensure we process petabytes without burning the budget.

• Data Governance: Implement automated testing (dbt-style checks) to catch data drift before it hits the dashboard.

The Tech Stack

• Core: Google Cloud Platform (GCP), BigQuery.

• Orchestration: Airflow, Cloud Composer, Keboola.

• Languages: Advanced SQL (Mandatory), Python.

• Visualization: Tableau, Looker (Knowledge of the semantic layer).

Must-Haves

• 5+ Years Experience: You have a track record in Analytics Engineering, Data Engineering, or BI Development.

• SQL Mastery: You write production-grade code. You know the difference between a query that works and a query that scales.

• Data Modeling: Deep understanding of dimensional modeling (Kimball/Star Schema) and modern data stack patterns.

• Builder Mindset: You treat data assets like software products—versioned, tested, and documented.

Ready to build the data engine that powers the future of local commerce? Apply Now.

#LI-KH1 #LI-Hybrid

Senior Analytics Engineer - Treasury & Exposure Management

Location: Madrid/Malaga (Hybrid: 4 days office / 1 day WFH)

We are looking for an Analytics Engineer to be embedded within the Treasury & Exposure domain. At Ebury, we are in the process of descentralising our models (Data mesh), empowering domains to deliver high-impact data products autonomously.

You will build the semantic layer that provides the context and definitions necessary for AI agents and stakeholders to leverage data effectively.

In Ebury we operate under a Domain-Driven Design (DDD) approach where Product, Tech, and Data align on shared goals to eliminate bottlenecks and ensure architectural alignment.

What you will do:

• Partner with the business to gather requirements and define technical action plans for robust data products.
• Lead projects from initial definition to delivery, including strategies for stakeholder (impact and testing)
• Ability to split between strategic management and technical execution; you are equally comfortable architecting a multi-domain roadmap as you are diving into the IDE to ship a critical fix
•  Proactively monitor and govern data products to ensure high reliability. You will design and propose ongoing alerting frameworks to catch anomalies before they reach the business.
• Deliver hands-on data models using modern software engineering practices (version control, testing, and CI/CD).
• Collaborate with team members to reinforce best practices across the platform, encouraging a shared commitment to quality.
• Manage overall pipeline orchestration using Airflow (hosted in Cloud Composer).
• Contribute to and promote best practices for query development, version control, code review, documentation, and testing

What we’re looking for:

• 4+ years experience in similar roles, solid analytics engineering background — dbt, SQL, data modeling, and a strong sense of what makes a data product trustworthy and maintainable.
• High proficiency in SQL with the ability to build, robustly test, and optimize complex models.
• A strong sense of what makes a data product trustworthy, maintainable, and valuable to the end user.
• Finance domain knowledge, you understand how financial data works: P&L, FX, exposure, reconciliation.
• Experience with (or a genuine curiosity for) Domain-Driven Design and how it shapes team ownership and data structure.
• Fluency in English (Spanish is a plus).

#LI-JC1

#LI-HYBRID

Senior Analytics Engineer - Treasury & Exposure Management

Location: Madrid/Malaga (Hybrid: 4 days office / 1 day WFH)

We are looking for an Analytics Engineer to be embedded within the Treasury & Exposure domain. At Ebury, we are in the process of descentralising our models (Data mesh), empowering domains to deliver high-impact data products autonomously.

You will build the semantic layer that provides the context and definitions necessary for AI agents and stakeholders to leverage data effectively.

In Ebury we operate under a Domain-Driven Design (DDD) approach where Product, Tech, and Data align on shared goals to eliminate bottlenecks and ensure architectural alignment.

What you will do:

• Partner with the business to gather requirements and define technical action plans for robust data products.
• Lead projects from initial definition to delivery, including strategies for stakeholder (impact and testing)
• Ability to split between strategic management and technical execution; you are equally comfortable architecting a multi-domain roadmap as you are diving into the IDE to ship a critical fix
•  Proactively monitor and govern data products to ensure high reliability. You will design and propose ongoing alerting frameworks to catch anomalies before they reach the business.
• Deliver hands-on data models using modern software engineering practices (version control, testing, and CI/CD).
• Collaborate with team members to reinforce best practices across the platform, encouraging a shared commitment to quality.
• Manage overall pipeline orchestration using Airflow (hosted in Cloud Composer).
• Contribute to and promote best practices for query development, version control, code review, documentation, and testing

What we’re looking for:

• 4+ years experience in similar roles, solid analytics engineering background — dbt, SQL, data modeling, and a strong sense of what makes a data product trustworthy and maintainable.
• High proficiency in SQL with the ability to build, robustly test, and optimize complex models.
• A strong sense of what makes a data product trustworthy, maintainable, and valuable to the end user.
• Finance domain knowledge, you understand how financial data works: P&L, FX, exposure, reconciliation.
• Experience with (or a genuine curiosity for) Domain-Driven Design and how it shapes team ownership and data structure.
• Fluency in English (Spanish is a plus).

#LI-JC1

#LI-HYBRID

Data Analyst - Credit Risk & Underwriting

Ebury (Madrid) Office - Hybrid: 4 days in the office, 1 day working from home per week

Mission

Join Ebury's Analytics team in Madrid to build and maintain the data models and predictive frameworks that underpin our Underwriting and Credit Risk decisions. You'll go beyond reporting, designing scalable analytics assets, training explainable ML models, and translating risk signals into clear business actions.

What you’ll do

• Design, build, and maintain robust dbt data models that transform raw data into analytics-ready assets for Credit Risk and Underwriting.
• Write and optimise complex SQL and Python pipelines to model credit outcomes and surface early warning signals.
• Train, validate, and document explainable ML models (e.g., logistic regression, gradient-boosted trees) to predict defaults and portfolio behaviour.
• Own key Underwriting and Credit Risk KPIs, ensuring dashboards are accurate and up to date.
• Build and maintain dashboards in Sigma and Looker Studio that make risk data accessible to Business and Product stakeholders.
• Partner with Underwriting, Credit Risk, and Product teams to turn model outputs into actionable strategy.

What you'll own

• The end-to-end data modelling layer for Underwriting and Credit Risk analytics.
• Portfolio health monitoring and alerting framework.
• Documentation and explainability artefacts for all production ML models.
• Stakeholder-facing dashboards and regular risk reporting cadence.

Tech stack & environment

• Languages: SQL, Python
• Data modelling: dbt
• BI / visualisation: Sigma, Looker Studio
• ML modelling: Predictive modeling (XGBoost, CatBoost, Scikit-learn)
• Cloud / warehouse: BigQuery, GCP

What you’ll need

• 2+ years in a data-focused role within Banking, Fintech, or Consultancy. 
• Strong SQL — comfortable writing complex joins, window functions, and CTEs at scale.
• Working proficiency in Python for data analysis and modelling.
• Experience building and maintaining dbt projects.
• Foundational understanding of supervised learning techniques and model evaluation (precision, recall, AUC, etc.).
• Ability to explain technical findings to non-technical stakeholders clearly and directly.
• Fluent English (written and spoken).
• High standards for data quality and reproducibility

Nice-to-have skills

• Direct experience with Credit Risk analytics or default modelling.
• Familiarity with Sigma and/or Looker Studio.
• Exposure to version-controlled analytics workflows (Git-based dbt projects).
• Experience with model monitoring and drift detection in production.

Why Ebury?

• Competitive Starting Salary with an annual discretionary bonus that truly rewards your performance from day one.
• Dedicated Mentorship: Learn directly from experienced managers who are invested in your success.
• Cutting-Edge Technology: Leverage state-of-the-art tailor made tools and systems that enable you to perform at your best.
• Clear, Accelerated Career Progression: Defined pathways to leadership and specialist roles within Ebury.
• Dynamic & Supportive Culture: Work in a collaborative environment where teamwork and personal growth are prioritized.
• Generous Benefits Package: Access competitive benefits tailored to your location, which typically include health care and social benefits.
• Central Office: A fantastic location with excellent transport links.

#LI-JC1

#LI-HYBRID

Spaulding Ridge is an advisory and IT implementation firm. We help global organisations get financial clarity into the complex, daily sales and operational decisions that impact profitable revenue generation, efficient operational performance, and reliable financial management.

At Spaulding Ridge, we believe all business is personal. Core to our values are our relationships with our clients, business partners, team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation.

We are looking for a Data Engineer to join our excellent Data Solutions team in Spain.

We implement data analytics platforms for our customers based on the Modern Data Stack approach, leveraging tools like Workato/Boomi, Snowflake/BigQuery/Microsoft Fabric/Databricks, dbt and Sigma/Omni/Looker. We are a Consulting Partner of those technologies, so we are in close contact with their Sales and Solutions teams to support customers in testing, implementing and adopting those tools.

Our clients range from the hottest scale-ups in Europe to famous public enterprise companies.

The role

• Model data as an Analytics Engineer in tools like dbt to create business logic from raw data.
• Assess clients' data infrastructure, identify improvements, and propose creative solutions and designs to tackle their challenges.
• Evaluate and design several data model pipelines for specific use cases and deliver technical presentations.
• Understand and manage modern Data Warehouses like BigQuery and Snowflake (schema structures, access control, performance, costs).
• Manage data ingestion through managed ELT tools like Workato, Boomi, and Fivetran as a first approach to data integration; custom data pipelines deployment based on cloud services is a plus.
• Get certified in our core technologies if you aren’t yet, mainly Snowflake SnowPro Core, Google Cloud Professional Data Engineer, and/or dbt Certified Developer.
• Deliver training, technical presentations, and co-development sessions with customers to help them implement a Data Stack.
• Participate in pre-sales conversations with prospective clients to define the scope and estimate the work for the project.
• Stay up-to-date to help customers prepare for using new features. Learn new tools at the advanced level and help customers do the same.
• Think beyond the task at hand; understand how our customers define their own success with the tool and help them work toward that goal.
• Share your knowledge, support the internal team, and learn from your peers on internal office hours and individual sessions.

You have

• Relevant experience modelling data, manipulating datasets, managing data warehouses, and high proficiency in SQL.
• Programming experience, ideally in Python, but other languages considered.
• Experience with any Cloud Provider (Azure and GCP preferred) and their respective data services.
• Experience with Git, CI/CD, and Infrastructure as code (like Terraform).
• Knowledge of any BI tool such as Omni, Sigma, Looker, PoweBI, etc.
• Self-motivation to study, discover new products and technologies in the data landscape.
• Ability to speak and write in English (fluently). The vast majority of our projects are delivered in English.
• Experience in delivering technical presentations.

We take care of you!

As an employee of Spaulding Ridge, you will be part of a company that is providing innovative opportunities to impact our clients in a meaningful way. We believe giving back is core to our values. As part of this effort, you will have the opportunity to participate in various activities throughout the year, including SR’s day of service, giving back to our global community. We offer a competitive benefit package, including:

• Private health insurance with Cigna
• 26 days of paid time off
• Monthly technology and wellness allowance
• Annual training allowance program

Please note:
We can't offer sponsorship for this role; you need to be based in Spain and have a valid working & living permit in Spain, even if the role is advertised as a hybrid.

#LI-DR1

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

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

Tu rol y contribución

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

En este rol, tendrás la oportunidad de:

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

¿Qué buscamos en ti?

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

Vida en WPP Media y beneficios

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

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

Próximos pasos

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

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

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

Meet Urban Sports Club

We are Europe’s leading platform for sports and wellness. Our mission is to inspire people to lead active, healthy lives  and with just one membership we offer access to thousands of fitness and wellness experiences across Europe.

But what truly sets us apart? We believe our people are at the heart of everything we do. If you’re curious about how we work, what we value and how you might grow with us, explore our Culture Hub & Career Opportunities.

The opportunity 

We are looking for a Senior Data Engineer (all genders) to join our Analytics & BI team in our Spain. In this role, you will ensure our data infrastructure is optimally set up to deliver high-quality, reliable data for driving business decisions. You'll lead efforts such as growing into more scalable cloud data warehousing and big data tooling. You will directly contribute to our mission to inspire others to live healthy and active lives by empowering our teams through data which will ensure we provide an enjoyable, smooth experience to our members and partners.

This role is limited to 12 months, as it is a parental leave replacement.

What you will do 

• Ensure that our platform delivers optimal performance by enhancing our extensive data model landscape. This will enable data analysts and other data consumers to derive insights more rapidly.
• Design and optimize data models and table structures for efficient consumption by analysts and other stakeholders.
• Participate in capacity planning for future data growth and evolving business requirements.
• Be embedded in a team of highly skilled data engineers who have already built a robust data platform. Help us shape it further with your expertise and knowledge.
• Collaborate with our primary stakeholders, including the analytics team and downstream consumers, to develop high-performance ELT pipelines that prioritize data quality and reliability

What you'll need to succeed

• You bring at least 5 years of experience as a Data Engineer
• You have strong SQL skills and extensive experience using dbt in a production environment, including the use of macros and custom packages.
• You are comfortable with APIs and preferably knowledgeable about LLMs and working with raw text data
• You are able to translate loosely defined business requirements into scalable technical implementations independently
• You have experience with modern data architectures (data mesh, data fabric, lakehouse) and you bring strong working knowledge of database technologies and cloud data platforms (specifically Google Cloud)
• You have experience designing and implementing real-time or streaming data architectures and you are familiar with data cataloging and lineage tools
• A proven track record of successful data architecture implementations, which you have delivered in complex environments
• You bring excellent communication skills with the ability to translate technical concepts for non-technical stakeholders

What’s in it for you

• Free Urban Sports Club L Pro Membership + Friends and Family Discount: Stay active with free membership, plus discounts for friends and family
• Flexible Work Model: Enjoy a hybrid work setup, balancing on-site and remote work options to fit your lifestyle
• Extended Remote Work Options: Work up to 120 days remotely within the EU, the UK, and Switzerland, including 30 days outside the EU. You’ll also have the option to desk-swap at our other European offices
• WorkOUT Life Balance: Take advantage of 30 days of paid vacation annually, plus two additional days for volunteering, flexible working hours, and complimentary access to our mental health provider Open Up
• Personal Development: Receive an annual budget of €1,000 for professional growth, with regular internal training sessions and weekly German and English language classes
• Engaging Team Culture: Participate in regular team and company events along with wellness initiatives that help you stay productive, healthy, and engaged in a hybrid work environment

Urban Sports Club is committed to providing a friendly, safe, and welcoming environment for everyone who works here or with us, regardless of their sports preferences, gender, gender identity and expression, sexual orientation, disability, physical appearance, body size, race, age, or religion (or lack thereof).