* Bachelors or master's degree in computer science, software engineering, or a related field * 5+ 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 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 transfer and internal ownership * Mentor and support other data engineers, reviewing designs and code and raising the team's engineering standards * Stay up to date with emerging trends in data engineering — open table formats, data catalogs, orchestration — and drive their adoption where they add value #J-18808-Ljbffr

📌 Senior Data Engineer (España)
🏢 RemoteStar
📍 España