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Data Engineer Databricks

Degetel
Brussel, Belgium
7 days ago
Apply on www.adzuna.be
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Languages
Dutch, English, French
Job source
www.adzuna.be

Tech stack

Amazon Web Services Extract Transform Load (ETL) Data Warehousing Python (Programming Language) Standard Sql SQL Databases Data Ingestion Information Technology Databricks

Job description

  • Manage data ingestion from various sources
  • Implement and optimize ETL processes
  • Ensure data quality, integrity and security across pipelines
  • Monitor and troubleshoot pipeline performance
  • Document processes, technical specs and best practices
  • Transfer knowledge to the team that will take over running the platform

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Mathematics or a related field
  • Minimum 4 years of experience in SQL/Python, 4 years with Databricks, and 2 years in Data Warehousing, * Strong SQL and Python skills, comfortable on Data Warehouse / Lakehouse projects
  • Proven hands-on experience with Databricks and the AWS ecosystem
  • Analytical mindset, detail-oriented
  • Good communicator, able to collaborate with both the project team and the run team

Preferred Skills

  • Languages: fluent in French or Dutch, plus a good level of English

Apply for this position

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

Apply on www.adzuna.be
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

1:59 min

Key takeaways and accessing the Databricks developer toolkit

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

4:06 min

Using ClickHouse as a foundation for fast analytics

Hellmar Becker Hellmar Becker · World Congress 2026 Europe

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

2:50 min

Executing LoRA fine-tuning using serverless Databricks AI runtimes

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

Videos

See all
Enjoying SQL data pipelines with dbt thumbnail
26:53
World Congress 2023 • almost 3 years ago

Enjoying SQL data pipelines with dbt

Matthias Niehoff

How building an industry DBMS differs from building a research one thumbnail
30:34
World Congress 2023 • almost 3 years ago

How building an industry DBMS differs from building a research one

Markus Dreseler

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases thumbnail
32:46
World Congress 2024 • about 2 years ago

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

Wei Hu

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source thumbnail
29:50
World Congress 2026 Europe • 2 months ago

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source

Viktoria Semaan

OLTP in the Lakehouse: Redefining Data for AI Workloads thumbnail
24:36
Europe 2026 Virtual • 2 months ago

OLTP in the Lakehouse: Redefining Data for AI Workloads

Oleksandra Bovkun

TiDB, One Layer at a Time: How Distributed SQL Became an Agentic AI Backbone thumbnail
27:27
World Congress 2026 Europe • 2 months ago

TiDB, One Layer at a Time: How Distributed SQL Became an Agentic AI Backbone

Daniël van Eeden, Mattias Jonsson

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