Data Engineer

Médiane Benelux
Luik, Belgium
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Airflow Unit Testing C++ (Programming Language) Databases Continuous Integration Data Architecture Information Engineering Data Warehousing DevOps Python (Programming Language) MATLAB Machine Learning
+12 more
SQL Databases Data Storage Technologies Apache Spark Jupyter Git Data Lakes Kubernetes Information Technology Bitbucket Data Pipelines Docker Jenkins

Job description

Design, build and maintain data pipelines and data architectures Set up and optimize databases, data lakes and data storage solutions Develop data pipelines supporting machine learning and advanced analytics Manage and improve CI/CD pipelines Ensure testing, validation and reliability of data workflows Collaborate with software developers, data scientists and engineering teams Contribute to data engineering standards and continuous improvement initiatives

Requirements

Master’s degree in Computer Science, Engineering, Data Engineering, Data Science or equivalent Solid experience in Data Engineering Strong knowledge of Python, SQL, Spark and Docker Good understanding of databases, data lakes, data warehouses and CI/CD Experience with tools such as Jenkins, Jupyter, Superset and Dagster Knowledge of Kubeflow or data warehousing solutions is a plus Good understanding of unit testing Knowledge of Git, DevOps, C/C++, Bitbucket or MATLAB testing is an advantage Strong analytical mindset, attention to detail and quality-oriented approach Comfortable working in multidisciplinary technical environments

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Good distractions

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

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff · World Congress 2024

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Motivations for transitioning legacy MATLAB repositories to Python

Michael Niebisch Michael Niebisch · World Congress 2024

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Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

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Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

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Bringing diverse skills to industrial data science roles

Katja Träumner

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Custom domain controllers and vehicle communication networks

Denis Grahovac · World Congress 2021

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