Database Analytics Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 22h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 11d ago
The date the source published, not the day we noticed it (2026-10-22). Last seen at its source 1h ago.
We have tracked this listing since 22 Oct 2026 (10 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Belgium
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay €102.5k–139.8k/yr
Middle 50% of 8 listings that do state pay — Engineering · all levels · Belgium · EUR/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Workable employer's own board first seen 10d ago · last seen 1h ago
The listing
We currently have a vacancy for a Database Analytics Engineer fluent in English, to offer his/her services as an expert who will be based in Brussels, Belgium. The work will be carried out either in the company’s premises or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team on site.
Tasks:
- Design and develop scalable, reliable data transformation pipelines and workflows;
- Optimise the performance and execution times of dbt projects;
- Design, implement, and document data quality checks and control tests using dbt capabilities;
- Establish automated regression testing and validation procedures to ensure pipeline output quality and consistency;
- Promote and share best practices for maintaining, managing, and evolving dbt projects across the team;
- Analyse business requirements and translate business analysis documentation into robust, operational data transformation pipelines.
Requirements
- University degree in Computer Science, Information Technology, Systems Engineering. or relevant discipline, combined with minimum 12 years of relevant working experience in IT;
- Hands-on experience with dbt, preferably dbt Core, for designing, maintaining, testing, documenting, and extending production-grade analytics transformation projects;
- Experience in analytics engineering and modern data modelling, including layered architectures, reusable macros, data quality controls, and CI/CD practices;
- Experience developing PySpark transformation scripts for large-scale data processing, while Spark job optimisation would be an asset;
- Hands-on experience with Apache Iceberg, including partition and schema evolution, snapshot management, and time travel;
- Experience with job orchestration and scheduling tools, such as Dagster, for managing dbt and Spark workloads;
- Strong knowledge of SAS-based ETL and legacy codebases; experience migrating SAS workflows to dbt is a strong asset;
- Excellent SQL skills, including complex transformations, performance optimisation, and incremental processing;
- Good understanding of Apache Spark execution, partitioning strategies, file layout optimisation, and performance tuning;
- Strong knowledge of data validation, reconciliation, and testing to ensure functional equivalence when migrating legacy systems to dbt and PySpark;
- Knowledge of version control and collaborative development practices, including Git, code reviews, release management, and automated deployment pipelines;
- Excellent command of the English language.
Benefits
If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference: (159096/10/2026).
We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential.
You may also consider all our other open vacancies by visiting the career section of our web site (www.eurodyn.com) and follow us on Twitter (@EURODYN_Careers) and LinkedIn.
EUROPEAN DYNAMICS (www.eurodyn.com) is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 300 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes.
As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion
EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.