Data Engineer

Jems Group; Brussel Hoofdstad; Sur place; EUR 65 000 - 90 000; Plein temps

Résumé du poste

Jems Group in Belgium is seeking a Data Engineer to build robust data solutions that turn complex challenges into actionable business opportunities. You will own the data lifecycle from ingestion to exploitation, enabling departments to make data-driven decisions, with a strong DevOps and cloud mindset.

The role requires a degree in engineering and at least 3 years on large-scale data projects, plus fluency in French, Dutch, and English. Proficiency in SQL and an OO language is essential.

Qualifications

• Engineering degree required.
• Minimum 3 years of experience on large-scale data projects.
• Fluency in French, Dutch, and English (written and spoken).

Responsabilités

• End-to-End Solution Design: participate in the full architectural journey from data acquisition to exploitation.
• Data Integration: collect and weave diverse datasets to solve business problems.
• Quality & Governance: monitor data quality and enforce governance standards.
• Bridging the Gap: translate business needs into clear technical data rules.
• Industrialisation: scale deployments with unit, integration, and regression testing.

Connaissances

SQL

Python

Java

Scala

Formation

Engineering degree

Outils

Git

JUnit

SonarQube

Jenkins

Description du poste

We are looking for a creative and technically-driven Data Engineer to join our Belgian team. You will build innovative and robust solutions that turn complex data challenges into streamlined business opportunities.

You will oversee the entire data lifecycle, ensuring information is not only accessible but also reliable and actionable. Your key responsibilities will include:

• End-to-End Solution Design: Participating in the full architectural journey, from initial data acquisition to final exploitation, empowering business departments to make data-driven decisions.

• Data Integration: Identifying, collecting, and weaving together diverse datasets to solve critical business and operational problems.

• Quality & Governance: Acting as a guardian of data integrity by implementing monitoring tools and ensuring strict adherence to governance standards.

• Bridging the Gap: Translating boardroom ambitions into clear, technical data rules, effectively connecting business needs with server-room reality.

• Industrialisation: Scaling your achievements through robust deployment practices, including unit, integration, and non-regression testing.

You are a technophile who thrives on solving puzzles and staying ahead of the curve. To succeed in this role, you should bring:

• Technical Expertise: Proficiency in SQL and at least one object-oriented language (Python, Java, or Scala).

• Framework Knowledge: Experience with distributed computing frameworks and a solid grasp of both relational and non-relational modelling.

• DevOps Mindset: A strong understanding of continuous integration tools such as Git, JUnit, SonarQube, or Jenkins.

• Cloud & Big Data: Practical experience with a major cloud provider (AWS, GCP, Azure) or a Big Data distribution (Hortonworks, Cloudera, Datastax).

• Education & Experience: You hold a degree from an engineering school or university and have at least 3 years of experience working on large-scale data projects.

• Soft Skills: Proactive, rigorous, and comfortable working autonomously, you know when to dive into the details and when to step back to see the bigger picture.

• Linguistic Versatility: As this role serves our Benelux clients, fluency in French, Dutch, and English (both written and spoken) is essential.