Senior Data Engineer

Fujitsu; Brussel; Hybride; EUR 83 000 - 124 000; Plein temps

Résumé du poste

Fujitsu in Brussels seeks a Senior Data Engineer to own end-to-end data engineering for a strategic on-premise Data Exchange Platform. You will design ingestion pipelines, implement Bronze/Silver/Gold models, and ensure data governance and security across multi-domain data.

You will work with a Data Architect, Solution Architect and BI Developer to deliver reliable pipelines, data lineage, and robust BI endpoints.

Qualifications

• Advanced SQL skills and data modeling experience.
• Hands-on with dbt/dbt-core and Delta Lake.
• Experience with relational databases (MSSQL, PostgreSQL).
• Strong data governance and metadata management capabilities.
• Experience with a data orchestrator (Dagster or Airflow).
• Proficient Linux/OpenShift and cloud-agnostic constraints.

Responsabilités

• Design and implement ingestion pipelines from heterogeneous sources.
• Develop incremental and streaming ingestion pipelines.
• Ensure pipeline reliability, idempotency and end-to-end traceability.
• Develop transformation models following a Medallion Architecture.
• Manage Delta Lake tables and ensure transactional consistency.
• Monitor runs, handle failures and automate alerts.
• Push metadata to data governance platform and support BI feeds.

Connaissances

SQL

dbt / dbt-core

Delta Lake

Relational databases

Data Governance

Metadata Management

Dagster / Airflow

Linux / OpenShift

Data Lake / Data Warehouse / Lakehouse

Multi-domain data pipelines

Outils

Dagster

Airflow

Description du poste

Duration: Until 31/12/2026, with possible extension

Remote: 50% remote

Contract: Freelance

Context

For one of our clients based in Brussels, we are looking for a Senior Data Engineer to join a team working on a strategic Data Exchange Platform.

The project involves building an on-premise data platform with strict requirements regarding security, data governance, traceability and data sovereignty.

You will join an experienced team including a Data Architect, Solution Architect and BI Developer.

Main Responsibilities

• Design and implement ingestion pipelines from heterogeneous sources such as files, APIs and relational databases.
• Implement incremental and streaming ingestion pipelines.
• Ensure pipeline reliability, idempotency and end-to-end traceability.

Data Transformation & Modeling

• Develop transformation models following a Medallion Architecture (Bronze / Silver / Gold).
• Implement data historization strategies such as SCD Type 2, upsert and append-only.
• Develop exports towards Delta Lake.
• Manage and maintain Delta Lake tables.
• Ensure transactional consistency across multiple data domains.
• Work with ACID transactions and Time Travel capabilities.

Orchestration

• Implement and maintain data assets and pipelines.
• Monitor pipeline runs and handle failures.
• Automate alerts and monitoring processes.

Data Governance & Lineage

• Push technical and business metadata to the data governance platform.
• Contribute to governance documentation, DUA, SLA and related standards.

Data Exposure & BI

• Develop endpoints to expose the Gold data layer.
• Collaborate with BI and reporting teams to feed dashboards.
• Support the development of BI solutions.

MUST-HAVE SKILLS

• SQL – Confirmed / Advanced SQL
• dbt / dbt-core – models, snapshots, macros, tests and profiles
• Delta Lake – ACID transactions, Time Travel, OPTIMIZE, VACUUM
• Relational databases – MSSQL and PostgreSQL
• Data Governance – Confirmed
• Metadata Management – Confirmed
• Experience with a data orchestrator such as Dagster, Airflow or equivalent
• Experience with Linux / OpenShift
• Strong understanding of Data Lake / Data Warehouse / Lakehouse architectures
• Experience working with complex, multi-domain data pipelines
• Ability to work independently and take ownership of technical deliverables

PLUS SKILLS

• Kafka / Debezium – real-time data capture and CDC
• DuckDB
• Strong knowledge of Medallion Architecture
• Experience in highly secured or restricted-access environments
• Experience with real-time / streaming data architectures
• English: Professional working proficiency – required
• French: Professional working proficiency – preferred
• Dutch: Nice to have

SOFT SKILLS

• Strong sense of ownership and responsibility
• Rigorous and autonomous approach to complex data engineering tasks
• Solution-oriented mindset
• Ability to explain complex technical concepts to non-technical stakeholders
• Team player
• Curious and eager to learn
• Strong communication and collaboration skills

PROFILE

We are looking for a Senior Data Engineer who can take ownership of Data Engineering activities from end to end, with a strong focus on data quality, governance, lineage, security and pipeline reliability.

Due to the nature of the project, Belgian nationality is required.

Start: ASAP

Duration: Until 31/12/2026, with possible extension