Azure Data Engineer

HumanInTech; Brussel Hoofdstad; Hybrid; EUR 60,000 - 90,000; Full time

Job summary

HumanInTech is seeking an experienced Data Platform Engineer to drive the evolution of a Belgian public transport data platform. You will design and implement Azure-based data pipelines, Lakehouse architectures, and Unity Catalog governance as part of a 12-month, hybrid Brussels project.

The role requires 5+ years of hands-on Azure Databricks and data architecture experience, strong SQL/Python skills, and the ability to collaborate with analysts and data scientists.

Qualifications

• Degree in Computer Science, Data Engineering, or related field
• Minimum 5 years of experience in a similar role
• Proven experience with Azure Databricks, Unity Catalog, and Azure data architecture
• Analytical mindset, autonomy, problem-solving skills, and team spirit
• Strong communication skills and ability to explain technical concepts clearly

Responsibilities

• Design and develop data pipelines using Azure Data Factory, Databricks, and other Azure services
• Implement modern data architectures including Data Lake, Delta Lake, and Lakehouse
• Develop and industrialise new business use cases to support reporting, analytics, and data science
• Contribute to Databricks Unity Catalog setup, access management, security, and governance
• Support self-service data strategy implementation
• Monitor and optimise Azure and Databricks performance, resource usage and costs
• Automate data ingestion, transformation and deployment processes
• Collaborate with data analysts, data scientists, and business stakeholders
• Document data flows, architecture, and best practices
• Maintain and improve the Azure data platform

Skills

Azure Data Factory

Azure Databricks

Azure Storage

Azure SQL

Key Vault

Azure DevOps

Databricks Unity Catalog

Spark

PySpark

Delta Lake

SQL

Python

Performance tuning

Cost optimisation

CI/CD for data engineering

REST API

AMQP

Education

Bachelor's degree in Computer Science or related field

Tools

Azure Databricks Unity Catalog

Databricks

Azure Data Factory

Delta Lake

CI/CD pipelines

Job description

What you will do

You will play a key role in the continuous development, optimisation, and governance of the data platform for a Belgian public transport company. As part of the 2027 roadmap, the organisation is modernising its Azure-based data infrastructure and expanding self-service capabilities for business teams.

Your responsibilities include:

• Design and develop data pipelines using Azure Data Factory, Databricks, and other Azure services
• Implement modern data architectures including Data Lake, Delta Lake, and Lakehouse
• Develop and industrialise new business use cases to support reporting, analytics, and data science
• Contribute to the implementation and management of Databricks Unity Catalog, including catalogs, schemas, permissions, data sharing, and governance
• Support the implementation of a self-service data strategy
• Monitor and optimise Azure and Databricks performance, resource consumption, and costs
• Automate data ingestion, transformation, and deployment processes
• Collaborate with data analysts, data scientists, and business stakeholders
• Document data flows, architecture, and best practices
• Contribute to the maintenance and continuous improvement of the Azure data platform

What we are looking for

Required technical skills:

• Strong experience with Azure services: Data Factory, Azure Databricks, Azure Storage, Azure SQL, Key Vault, Azure DevOps
• Hands-on experience with Databricks Unity Catalog, including access management, security, and data governance
• Strong knowledge of Azure Databricks architecture, including Lakehouse design, scalability, security, and best practices
• Experience with Spark, PySpark, and Delta Lake
• Strong skills in SQL and Python
• Experience with monitoring, performance tuning, and cost optimisation in Azure and Databricks
• Knowledge of CI/CD principles applied to data engineering
• Knowledge of application integration patterns (REST API, AMQP)

Profile:

• Degree in Computer Science, Data Engineering, or a related field
• Minimum 5 years of experience in a similar role
• Proven experience with Azure Databricks, Unity Catalog, and Azure data architecture
• Analytical mindset, autonomy, problem-solving skills, and team spirit
• Strong communication skills and ability to explain technical concepts clearly

Nice to have:

• Microsoft Azure or Databricks certifications
• Experience with Power BI administration and governance
• Experience with real-time data streaming
• Experience with Terraform or Infrastructure as Code
• Familiarity with Azure Monitor and Log Analytics
• Basic SAP knowledge (S/4HANA or BW/4HANA as data sources)
• Experience working in Agile/Scrum environments

Languages:

• Excellent French or Dutch
• Good knowledge of the second national language (French or Dutch)
• Good English

The setting

This assignment runs for 12 months, starting in January 2027. The work mode is hybrid, with presence on site in Brussels required 2 to 3 times per week.

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 6, 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: November 2026