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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data engineer - **Company:** Free2move - **Location:** Madrid, Spain - **Salary:** €50,000.0 - €60,000.0 - **Contract:** Permanent contract - **Skills:** Unity 3d, Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Big Data, Cloud Computing, Directed Acyclic Graph (Directed Graphs), Data Mart, Data Transformation, Data Retention, Data Visualization, Database Testing, DevOps, Dimensional Modeling, Github, Identity and Access Management, Python (Programming Language), Power BI, SQL Databases, Tableau (Software), Delivery Pipeline, Git, Data Lakes, Pyspark, Kubernetes, Data Lineage, Machine Learning Operations, Terraform, Data Pipelines, Serverless Computing, Docker, Databricks - **Published:** September 1, 2026 - **Apply:** https://www.jobleads.com/es/job/e020072a984be806c81f8bdb5d90cdad0 ## About the Role * Education: A degree in Computer Science, Data Engineering, Software Engineering, or a related quantitative field. * Coding Expertise: Expert-level proficiency in SQL and Python, with a strong track record of writing clean, modular, optimized code for complex data transformations. (Note: Previous experience as a Data Scientist is a strong plus!) * Data Modeling: Significant hands-on experience modeling enterprise Data Warehouses using dbt (including Kimball methodology, dimensional modeling, star schemas, data testing, and data lineage). * Cloud & Big Data: Strong experience with the Databricks ecosystem (Delta Lake, PySpark, Unity Catalog, SQL Endpoints, Serverless compute) and AWS cloud infrastructure (S3, IAM, KMS, DataSync). * Orchestration & DevOps: Solid experience writing and orchestrating complex production DAGs using Apache Airflow (or MWAA), managing deployments with Docker/Kubernetes, and working with CI/CD pipelines (Git, GitHub Actions, Terraform). * Data Visualization: Hands-on experience building, optimizing, and maintaining enterprise dashboards using Tableau, PowerBI, or Databricks SQL Dashboards. * Modern Workflows: A habit of actively leveraging AI tools (like Claude and Databricks AI features) to accelerate pipeline creation, automate dbt documentation, and write smart PR review guardrails. * Compliance & Security: A solid understanding of GDPR requirements, including how to enforce PII masking, access control policies, data retention, and auditing via Unity Catalog. * Mindset & Communication: An analytical mindset capable of translating complex business requirements into scalable, bulletproof data marts and KPI metrics. You prefer simple, efficient, well-tested code over fragile architectures. You can also communicate complex technical concepts clearly to business stakeholders and domain teams (Pricing, Customer, Advanced Analytics). * Languages: Fluency in English (written and oral) is required to work effectively in our international context. ## Description As a Data Engineer in our team, you will own the full lifecycle of data products and act as a technical leader. Your responsibilities will include: * Collaborating closely with Data Scientists to bring state-of-the-art, real-time pricing algorithms to production for millions of users. * Taking full ownership of the data pipelines within the Pricing Analytics scope. * Architecting and building the right systems to solve highly complex or vaguely defined problems. * Engaging with cross-functional stakeholders to lead the design, development, optimization, and productionization of ML and ML-based solutions. * Managing the infrastructure on which our Pricing algorithm runs and taking responsibility for the performance of the pricing ML system. * Leading cross-team efforts to leverage and scale our ML infrastructure for model development, training, and deployment needs. * Writing well-crafted, well-tested, readable, and maintainable production-quality code. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)