Databricks Data Engineer: Lakehouse Pipelines (Antwerp)

Vivid Resourcing

Antwerpen

On-site

EUR 37,000 - 61,000

Full time

14 days+

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Benefits offered by this job

Car preferred

Job summary

Vivid Resourcing in Antwerp is seeking a hands-on Databricks Data Engineer to join our analytics team. You will design and build scalable ETL/ELT pipelines on Databricks and Azure/GCP cloud platforms, using Python, PySpark and SQL to deliver analytics-ready datasets.

You'll collaborate with data scientists and analysts, implement data governance and performance best practices, and help optimize workloads for cost efficiency on modern data platforms.

Qualifications

  • Strong experience with Databricks and Apache Spark.
  • Strong Python/PySpark and SQL skills.
  • Proven experience building and maintaining ETL/ELT pipelines at scale.
  • Hands-on experience with Delta Lake and Lakehouse architecture.
  • Experience working with Azure and/or GCP cloud environments.
  • Good understanding of data warehousing, data modelling, and modern data engineering practices.
  • Experience with orchestration, CI/CD, and automated data pipelines.
  • A solid understanding of data quality, security, and governance.
  • A curious, problem‑solving mindset and appetite to work broadly across the modern data landscape.

Responsibilities

  • Design, build, and optimize scalable ETL/ELT pipelines using Databricks and other Azure stack
  • Develop robust data ingestion and transformation workflows across structured and unstructured data
  • Write clean, efficient Python, PySpark, and SQL for large-scale data processing
  • Build and maintain data models and reliable, analytics-ready datasets
  • Work with Databricks Lakehouse, Delta Lake, and modern data architecture patterns
  • Integrate data from multiple sources across cloud and enterprise environments
  • Implement data quality, monitoring, governance, and performance best practices
  • Collaborate with data scientists, analysts, and product teams to translate business requirements into scalable data solutions
  • Optimize workloads for performance, reliability, and cloud cost efficiency

Skills

Databricks & Spark
Python / PySpark / SQL
ETL / ELT pipelines
Delta Lake / Lakehouse
Azure / GCP
Data warehousing & modelling
orchestration / CI/CD
Data quality & governance
Curious problem-solving

Tools

Delta Lake
Lakehouse
Azure Databricks
dbt
Airflow
Terraform
Kubernetes
BigQuery
Data Factory
Data Lake Storage

Job description

Vivid Resourcing in Antwerp is seeking a hands-on Databricks Data Engineer to join our analytics team. You will design and build scalable ETL/ELT pipelines on Databricks and Azure/GCP cloud platforms, using Python, PySpark and SQL to deliver analytics-ready datasets.

You'll collaborate with data scientists and analysts, implement data governance and performance best practices, and help optimize workloads for cost efficiency on modern data platforms.

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