Data Engineer with DevOps focus for Justice digitalisation

HumanInTech; Brussel Hoofdstad; Hybrid; EUR 70,000 - 95,000; Full time

Job summary

HumanInTech is seeking a data engineer with a strong DevOps profile to support the digitalisation of Belgium's justice processes in Brussels. You will build and automate data pipelines, ensure data quality, and maintain BI publication layers for SAS Visual Analytics, Power BI and Apache Superset.

The role combines data engineering, BI DevOps and governance within a public-sector context, with a 12-month assignment in a hybrid Brussels setting.

Qualifications

• Master's or bachelor's degree in an ICT field or equivalent through experience.
• 5+ years in data engineering, data warehousing or BI, incl. 2+ years with CI/CD.
• Experience translating business requirements into data requirements and acceptance criteria.
• Experience setting up and monitoring data quality controls.

Responsibilities

• Translate standards into functional and technical data requirements for data flows and reporting.
• Gather information needs with Product Owner and analysts and develop user stories with acceptance criteria.
• Define data definitions and KPIs for consistent calculations.
• Act as data/BI contact, coordinating with developers, architects, testers and stakeholders.
• Develop, automate and monitor data quality rules and data lineage documentation.

Skills

SQL

Data modelling

CI/CD

Data quality monitoring

Automation

Communication

Monitoring

Python

Docker

Azure

Education

Bachelor's or Master in ICT

Tools

Git

GitHub Actions

Azure DevOps

GitLab CI

dbt

SAS 9.4

Power BI

SAS Visual Analytics

Apache Superset

Docker

Azure

SAS DI Studio

Jira/Azure Boards

Job description

What you will do

You will join the development team working on the digitalisation of justice processes, specifically supporting projects that automate the handling of traffic fines and related procedures. As a data engineer with a strong DevOps profile for BI, you will bridge the gap between business requirements and technical delivery.

Your responsibilities include:

• Translate standards, norms and guidelines (architecture, information security, GDPR, internal IT policies) into concrete functional and technical requirements for data flows and reporting
• Work with the Product Owner and functional analysts to gather information needs and develop them into user stories with clear acceptance criteria
• Define data definitions and KPIs unambiguously (data dictionary, semantic layer) so that each KPI is calculated consistently everywhere
• Act as the point of contact within the team for data and BI questions, coordinating with developers, architects, testers and stakeholders

Data quality

• Develop, automate and monitor data quality rules (completeness, accuracy, timeliness, consistency)
• Build controls into loading processes; detect, report and follow up on anomalies until resolved
• Maintain lineage and documentation of data models, data flows and processes
• Report on data quality to the team, Product Owner and management

BI DevOps

• Set up and manage CI/CD for data pipelines, data models and reports: version control (Git), code reviews, automated tests and controlled releases across development, test and production environments
• Set up monitoring and alerting for batch processes and data loads
• Help monitor quality gates for data code and reports
• Support release and change management and help resolve incidents

Data engineering

• Develop and maintain ETL/ELT processes
• Provide a reliable publication layer for BI tools (including SAS Visual Analytics, Power BI, Apache Superset)
• Contribute to thinking about the evolution of the data platform and, where appropriate, make logic tool-independent
• Make data AI-ready: ensure that datasets are well documented, of high quality and securely accessible so they can serve as a basis for future AI applications

Governance and compliance

• Help ensure traceability of data, decisions, code and tests, in line with internal control and audit expectations
• Contribute to compliance with information security, GDPR and access management from source to report (minimal rights, row-level security)

What we are looking for

Education and experience

• Master's or bachelor's degree in an ICT field or equivalent through experience
• At least 5 years of relevant experience in data engineering, data warehousing or BI, of which at least 2 years in a development team working with CI/CD
• Demonstrable experience translating business and quality requirements into requirements and acceptance criteria for data (data as a product)
• Experience setting up and monitoring data quality controls

Technical knowledge

• Expert-level SQL and data modelling (Kimball and/or data vault, SCD, incremental loads)
• Experience with ETL/ELT processes and batch processing; knowledge of SAS 9.4 (Base SAS, Enterprise Guide, DI Studio) is an asset
• Version control (Git), branching strategies, code reviews and CI/CD tooling (e.g. GitHub Actions, Azure DevOps, GitLab CI)
• Test automation and data quality tooling (e.g. dbt tests or equivalent)
• Monitoring and alerting of data processes
• Knowledge of BI tools (SAS Visual Analytics, Power BI and/or Apache Superset) and the principle of a semantic layer
• Asset: Python, dbt, Docker, Azure
• Comfortable working with Jira/Azure Boards

Certifications (asset)

• Asset: DAMA CDMP or other certification in data management or data quality
• Asset: certification as cloud data engineer (e.g. Microsoft, Databricks) or DevOps-related certification

Competencies

• Analytical and precise, with a strong sense of quality
• Strong communication skills; able to clarify vague questions and switch easily between technical and non-technical interlocutors
• Structured and pragmatic, with an automation reflex
• Team player who shares knowledge and brings others along
• Independent, proactive and result-oriented within a complex public-sector environment
• Knowledge of Dutch or French and understanding of the second national language; functional knowledge of English
• Full-time availability

The setting

This assignment runs for 12 months starting 13 December 2026. The work location is in Brussels, with a hybrid working arrangement. You will be part of a development team working on systems that support the public prosecutor's office in handling traffic offences and related procedures, contributing to the broader digitalisation of justice processes in Belgium.

You can join us for this assignment as a freelancer or as an employee of HumanInTech. Same role, same team. If you join as an employee, your employment continues beyond this assignment. When it ends, we’ll work together to find your next assignment.

Location: Brussels, hybrid

Work address: Belgium

Employer / contracting party: HumanInTech

Applications close (Brussels time): November 9, 2026 at 1:00 AM

Engagement: Freelance or employed by HumanInTech

Working hours: Full-time

Experience: 6–10 years or more

Education: Bachelor's or more

Published: October 2026