Azure Data Engineer – Cloud Pipelines & Analytics

Koda Tech; Brussel; Hybrid; EUR 70,000 - 110,000; Full time

Job summary

Koda Tech is seeking an experienced Data Engineer to join its growing data and analytics team in Brussels on a long-term contract. You will design, develop and optimise cloud-based data platforms, delivering scalable data solutions to empower decision-making across the business.

The role is hybrid and based in Brussels. You will work with Azure data services, SQL, Python, Databricks and Spark, collaborating with stakeholders and ensuring data quality, security and governance while advancing the

Qualifications

• 5–7 years of data engineering experience.
• Proficient with Microsoft Azure data services.
• Strong SQL and large-scale data handling.
• Experience with Python and data transformation frameworks.
• Familiarity with Databricks and Spark desirable.
• Experience with CI/CD and DevOps practices.
• Knowledge of cloud-native data platforms and architectures.

Responsibilities

• Design, build and maintain Azure-based data pipelines.
• Develop and optimise ETL/ELT processes for structured and unstructured data.
• Integrate data from various sources.
• Ensure data quality, reliability, security and governance.
• Collaborate with stakeholders to translate requirements into technical solutions.
• Contribute to continuous improvement of data platform architecture and performance.
• Support deployment, monitoring and troubleshooting of data solutions.

Skills

Communication

Stakeholder management

Independent work

Problem solving

Multilingual collaboration

Tools

Azure data services

Python

SQL

Databricks

Spark

CI/CD

DevOps

Job description

Koda Tech is seeking an experienced Data Engineer to join its growing data and analytics team in Brussels on a long-term contract. You will design, develop and optimise cloud-based data platforms, delivering scalable data solutions to empower decision-making across the business.

The role is hybrid and based in Brussels. You will work with Azure data services, SQL, Python, Databricks and Spark, collaborating with stakeholders and ensuring data quality, security and governance while advancing the