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Senior Data Engineer

Ventula Consulting
Brussels Metropolitan Area, Belgium
11 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
5 years minimum
Working hours
Regular working hours
Job source
www.adzuna.be

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Microsoft Azure Databases Continuous Integration Information Engineering Data Infrastructure DevOps Python (Programming Language) PostgreSQL Standard Sql
+8 more
Data Ingestion Apache Spark Data Lakes Pyspark Data Management Event Sourcing Legacy Systems Databricks

Job description

You’ll work alongside data engineers, developers and business stakeholders to build high-quality data products and pipelines, while helping modernise legacy systems and develop a modern Event Sourcing architecture.

Requirements

  • 5+ years’ Data Engineering experience
  • Strong Databricks & Spark / PySpark experience
  • Advanced Python & SQL
  • Azure experience
  • Strong data modelling and data platform knowledge
  • Experience with CI/CD, testing and DevOps practices
  • Experience working in Agile environments
  • Data ingestion via APIs, databases or other sources

Desirable: Event Sourcing, Delta Lake, PostgreSQL, dbt, AI/ML data platforms.

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

1:22 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

4:01 min

Managing application isolation via pluggable database models

Wei Hu Wei Hu · World Congress 2022

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:27 min

Defining DevOps through its historical origins and foundational texts

Sonal Patil · LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · 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

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

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

Kubernetes and Microservices with Multi-Model Databases thumbnail
29:30
World Congress 2022 • over 4 years ago

Kubernetes and Microservices with Multi-Model Databases

Wei Hu

Data Science in Retail thumbnail
58:21
LIVE • over 3 years ago

Data Science in Retail

Julian Joseph

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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