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MS Azure Senior Data Engineer

Next-Link
Brussel, Belgium
25 days ago
Apply on www.adzuna.be
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Role details

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

Tech stack

Data Analysis Microsoft Azure Continuous Integration Extract Transform Load (ETL) DevOps Python (Programming Language) Meta-Data Management Power BI Data Streaming Cloud Platform System Azure Data Factory Data Lakes
+3 more
Pyspark Data Management Databricks

Job description

maintenance of ETL’s using Data Factory/mapping Data Flow and PySpark in

Databricks.

o Prepare and execute testing activities

o Design performant solutions

o Bugfix issues in pipelines of the daily exploitation runs

Requirements

  • Language: English fluent + Dutch fluent OR French fluent

  • Minimum 3 years experience

  • Cloud Data platform in Azure

  • Devops (Infrastructure as Code, Continuous Integration / Delivery)

  • Azure Data Skills (Data Lake Gen2, Synapse)

  • Experience in DataBricks

  • Experience in Data Factory

  • Experience in Python

  • Experience in Data Flow

  • Knowledge about Data Management: metadata management, lineage, data quality principles…

  • Experience in Power BI and semantic data modelling

  • Experience with analytics use cases

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

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:22 min

Analyzing differences between mobile and traditional backend DevOps

Mete Baydar Mete Baydar · World Congress 2025

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

3:27 min

Defining DevOps through its historical origins and foundational texts

Sonal Patil · LIVE

Videos

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PySpark - Combining Machine Learning & Big Data thumbnail
43:26
LIVE • almost 6 years ago

PySpark - Combining Machine Learning & Big Data

Ayon Roy

Shifting Stress to Progress— Understanding DevOps to do DevOps Better thumbnail
37:46
LIVE • almost 5 years ago

Shifting Stress to Progress— Understanding DevOps to do DevOps Better

Sonal Patil

Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG thumbnail
7:02
Europe 2026 Virtual • 3 months ago

Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG

Piotr Menclewicz

From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • 3 months ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents thumbnail
26:58
World Congress 2025 • about 1 year ago

Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents

Dr. Alexander Wachtel, Hanna Schwab

Empowering Retail Through Applied Machine Learning thumbnail
22:41
World Congress 2024 • about 2 years ago

Empowering Retail Through Applied Machine Learning

Christoph Fassbach, Daniel Rohr

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