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.
Equal pay guaranteed.
Variable performance bonus.
Signing bonus.
They offer work visa sponsorship (If

📌 Senior Data Engineer (España)
🏢 Sabia Personal
📍 España