~ 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 analyti

📌 Senior Engineer, Data Engineering (España)
🏢 RemoteStar
📍 España