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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** SABIA Personal - **Location:** Arbo, Spain - **Contract:** Permanent contract - **Skills:** Query Performance, Geographic Information Systems, Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Apache HTTP Server, Microsoft Azure, Computer Programming, Continuous Integration, Information Engineering, Data Governance, Extract Transform Load (ETL), Distributed Computing Environment, Interoperability, Python (Programming Language), Machine Learning, Metadata, NetCDF, NoSQL, Operational Databases, Cloud Services, Standard Sql, Software Engineering, SQL Databases, User-Centered Design, Management of Software Versions, Parquet, Large Language Models, Apache Spark, Data Lakes, Git Flow, Kubernetes, Information Technology, Data Pipelines - **Published:** August 19, 2026 - **Apply:** https://www.buscojobs.com.es/senior-data-engineer-en-arbo-ID-368375436 ## About the Role Por favor, asegúrese de consultar la descripción a continuación con atención.Required Qualifications: · Bachelors or master's degree in computer science, software engineering, or a related field · 4+ years of professional experience in data engineering, including ownership of production data platforms or pipelines · Expert programming skills in Python and strong command of SQL · Expertise in data modeling, ETL development, and database management, with both SQL and NoSQL databases · Hands-on experience with lakehouse architectures and columnar / open table formats (e.G., Parquet, Apache Iceberg, Delta Lake) · Experience with distributed data processing frameworks such as Spark, and with workflow orchestrators such as Airflow or Argo Workflows · Strong experience with cloud data platforms (Azure, AWS, or GCP), including object storage, containers, and Kubernetes · Solid grounding in data governance: catalogs, metadata, lineage, access control, and dataset versioning · Comfortable with Git-based workflows, CI/CD, and infrastructure-as-code working models · Excellent problem-solving, communication, and collaboration skills; able to lead technical discussions with clients and stakeholders in English Nice to have: · Experience with scientific or geospatial data formats and tooling (e.G., Zarr, NetCDF, GRIB2, xarray, H3 spatial indexing) · Experience preparing and serving data for LLM, RAG, or agent-based applications · Previous experience in consulting or client-facing delivery teams Perks and Benefits: Indefinite contract. ## Description Our client is a fast-growing deep-tech company founded in **** and recognized by CB Insights as one of the 100 most promising AI companies globally.They are the largest quantum software company in the EU, with 250+ employees worldwide and growing, delivering advanced solutions trusted by leading global enterprises across several critical industries, including finance, energy, manufacturing, telecom, and industrial sectors.Se pueden requerir diversas habilidades interpersonales y experiencia para el siguiente puesto.Por favor, asegúrese de consultar la descripción a continuación con atención.Required Qualifications: · Bachelors or master's degree in computer science, software engineering, or a related field · 4+ years of professional experience in data engineering, including ownership of production data platforms or pipelines · Expert programming skills in Python and strong command of SQL · Expertise in data modeling, ETL development, and database management, with both SQL and NoSQL databases · Hands-on experience with lakehouse architectures and columnar / open table formats (e.G., Parquet, Apache Iceberg, Delta Lake) · Experience with distributed data processing frameworks such as Spark, and with workflow orchestrators such as Airflow or Argo Workflows · Strong experience with cloud data platforms (Azure, AWS, or GCP), including object storage, containers, and Kubernetes · Solid grounding in data governance: catalogs, metadata, lineage, access control, and dataset versioning · Comfortable with Git-based workflows, CI/CD, and infrastructure-as-code working models · Excellent problem-solving, communication, and collaboration skills; able to lead technical discussions with clients and stakeholders in English Nice to have: · Experience with scientific or geospatial data formats and tooling (e.G., Zarr, NetCDF, GRIB2, xarray, H3 spatial indexing) · Experience preparing and serving data for LLM, RAG, or agent-based applications · Previous experience in consulting or client-facing delivery teams Perks and Benefits: Indefinite contract.Equal pay guaranteed.Variable performance bonus.Signing bonus.They offer work visa sponsorship (If applicable) and relocation package (if applicable).Private health insurance.Eligibility for educational budget according to internal policy.Hybrid opportunity in their offices located in San Sebastian.Flexible working hours.Language classes and discounted lunch options.A high-performance, collaborative environment, operating at pace on cutting-edge technologies.Career plan.xsgfvud Opportunity to learn and teach.Responsibilities · Own the end-to-end design and delivery of data platform architectures - lakehouse, data catalog, and governance - from initial scoping through production release · Design, implement, and operate large-scale ETL/ELT pipelines and workflow orchestration to ensure data is clean, accurate, versioned, and accessible · Define data modeling, partitioning, schema evolution, and versioning conventions so datasets remain queryable, interoperable, and reproducible at scale · Establish and maintain authoritative data catalogs, including schemas, metadata, lineage, sensitivity labels, and access policies · Validate released datasets against their sources for completeness, correctness, schema consistency, and query performance, defining objective acceptance criteria · Work closely with Machine Learning and AI Engineers to make data products directly consumable by analytics, APIs, and AI/agent workflows · Collaborate with clients and cross-functional teams to scope requirements, lead technical sessions, and document architectures for knowledge ## Related Videos - [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) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) - [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) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)