Back to jobs
Everience

Senior Data Engineer (m/w/d)

Brussels, Brussels, Belgium

Apply on the employer’s site

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Upload resumeAdd LinkedIn
Pay, work setup, and employment type unconfirmed

Not confirmed in this saved copy: pay, work setup, employment type. Check the full posting

Tools in this posting

  • python
  • sql
  • databricks
  • airflow
Source — Tool mentions in context
- Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field. - Strong experience in Python and .NET/C# development for data processing, scripting, and ETL implementation. - Advanced knowledge of SQL, relational databases, and data warehouse concepts.
- Strong experience in Python and .NET/C# development for data processing, scripting, and ETL implementation. - Advanced knowledge of SQL, relational databases, and data warehouse concepts. - Experience designing and optimizing data models and database performance.
Preferred - Hands-on experience with Databricks, including:- Development of ETL pipelines - Spark cluster management
- Spark cluster management - SQL optimization and performance tuning - Experience with Apache Airflow and the development of DAGs for workflow orchestration.
- SQL optimization and performance tuning - Experience with Apache Airflow and the development of DAGs for workflow orchestration. - Knowledge of Big Data ecosystems, Data Lake architectures, and IoT platforms.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.

Already applied? Track this application

About applying

Apply opens the employer’s site in a new tab. Add your outcome here after you submit.

Source details & eligibility

Before you apply

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Brussels, Brussels, Belgium

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at jobs.smartrecruiters.com ↗Read the full description ↓
Posting history
Status in our records
Active
First seen by us
Sep 7, 2026
Recorded sightings
3

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Report an error

Job description

Description du poste

As a Senior Data Engineer, you will play a key role in managing, integrating, and optimizing data across Upstream and Downstream activities, with a particular focus on data used for forecasting purposes.

You will be responsible for ensuring data quality, consistency, and accessibility across multiple sources, enabling efficient use by business stakeholders, Data Analysts, and Data Scientists. You will contribute to data governance initiatives, support architectural decisions, and implement best practices in data management.

Data Engineering & Data Management:

  • Capture, integrate, and process structured and unstructured data from various internal and external sources.
  • Design, develop, and maintain robust ETL/ELT pipelines.
  • Structure, standardize, qualify, and document data to ensure consistency and usability.
  • Map and maintain data lineage and data source documentation.
  • Monitor and improve data quality through validation, testing, and cleansing processes.
  • Identify and eliminate duplicate, incomplete, or inconsistent data.
  • Ensure the quality and reliability of data entering the Data Lake.
  • Contribute to the creation and maintenance of data repositories when required.
  • Promote and implement best practices in data governance and data management.

Development & Architecture:

  • Develop solutions within the enterprise data framework.
  • Write technical specifications and design documentation.
  • Develop and execute unit tests to ensure solution reliability.
  • Participate in technical and architectural discussions and contribute to strategic data platform decisions.
  • Support the continuous improvement of data architecture and engineering practices.
  • Ensure timely delivery of development activities while maintaining high-quality standards.

Operations & Support:

  • Monitor production systems and data pipelines.
  • Perform maintenance, troubleshooting, and issue resolution.
  • Ensure operational stability and performance of data processing environments.
  • Collaborate closely with business stakeholders, architects, developers, Data Analysts, and Data Scientists.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • Strong experience in Python and .NET/C# development for data processing, scripting, and ETL implementation.
  • Advanced knowledge of SQL, relational databases, and data warehouse concepts.
  • Experience designing and optimizing data models and database performance.
  • Strong understanding of software development best practices.
  • Proficiency with version control systems, particularly Git.
  • Experience developing and maintaining ETL/ELT solutions.

Preferred

  • Hands-on experience with Databricks, including:
    • Development of ETL pipelines
    • Spark cluster management
    • SQL optimization and performance tuning
  • Experience with Apache Airflow and the development of DAGs for workflow orchestration.
  • Knowledge of Big Data ecosystems, Data Lake architectures, and IoT platforms.
  • Familiarity with cloud-based data platforms and modern data engineering frameworks.

 

Informations supplémentaires

All our positions are open to both women and men and are, of course, open to people with disabilities.

Description de l'entreprise

Everience is an international consulting group delivering AI-augmented digital services and placing people at the heart of the AI revolution.

With a presence in Europe, Africa, Asia and America, Everience offers its 4,000-strong workforce the most demanding and stimulating environment in which to transform and develop their skills, learning about new AI-based roles and building their future employability.

Through its Symbiotic Academy the group offers a unique hub for training, practical application and exchange where everyone can experiment, learn, and progress in the fields of artificial intelligence and data.

In accordance with its core purpose of orchestrating the symbiotic relationship between humans and AI in the workplace, Everience is making the augmented employee the driving force of a “symbiotic age”, where AI enhances talents and opens up new career opportunities.