Our client is a fast-growing deep-tech company founded in 2019 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 general enterprises across several critical industries, including finance, energy, manufacturing, telecom, and industrial sectors.
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.
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.
Language classes and discounted lunch options.
A high-performance, collaborative environment, operating at pace on cutting-edge technologies.
Career plan. 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

📌 Senior Data Engineer (San Sebastián)
🏢 Sabia Personal
📍 San Sebastián