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Data Platform Engineer - Lakehouse & Governance Lead

Remotestar
A Coruña, Spain
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
5 years minimum
Working hours
Regular working hours
Job source
www.buscojobs.com.es

Tech stack

Artificial Intelligence Airflow Information Engineering Data Infrastructure Extract Transform Load (ETL) Python (Programming Language) SQL Databases Management of Software Versions Apache Spark Data Pipelines Automation Anywhere

Job description

RemoteStar is seeking a senior data engineer to own end-to-end data platform architectures, including lakehouse, data catalog, and governance. You will design, implement, and operate large-scale ETL/ELT pipelines, and collaborate with ML teams to enable analytics and AI workflows.The role requires 5+ years in data engineering, strong Python and SQL, experience with Spark, Airflow/Argo, cloud platforms, and a solid grasp of data modeling, governance, and versioning.#J-*****-Ljbffr

Requirements

The role requires 5+ years in data engineering, strong Python and SQL, experience with Spark, Airflow/Argo, cloud platforms, and a solid grasp of data modeling, governance, and versioning. #J-*****-Ljbffr

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.buscojobs.com.es

Good distractions

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Moments

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WWC Europe 2026 • about 1 month ago

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PySpark - Combining Machine Learning & Big Data

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WWC 2023 • almost 3 years ago

Enjoying SQL data pipelines with dbt

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32:46
WWC 2024 • almost 2 years ago

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

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OLTP in the Lakehouse: Redefining Data for AI Workloads thumbnail
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Europe 2026 Virtual • about 1 month ago

OLTP in the Lakehouse: Redefining Data for AI Workloads

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Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases thumbnail
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WWC 2025 • 12 months ago

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

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