Data Engineer: Cloud Data Pipelines (Remote 3 Days/Wk)

itsme®; Brussel Hoofdstad; Hybride; EUR 70 000 - 110 000; Plein temps

Avantages offerts par ce poste

Remote work up to 3 days a week

Competitive compensation package

Brussels-area offices; remote-friendly

Résumé du poste

itsme® is expanding its data platform to power reporting, security, fraud detection and product decisions. As a Data Engineer, you will design pipelines, shift data from source systems to a robust central platform, and enable advanced analytics and ML.

You will work in a hybrid setup in Belgium, collaborating across an international team while shaping the data architecture and governance practices for a scale-up with millions of users.

Qualifications

• Bachelor's or master's degree in computer science, software engineering, information technology, or a related field.
• Minimum 3–4 years of professional experience as a data engineer or in a closely related role.
• Strong programming skills in Python, PySpark and SQL, with experience building production-grade data pipelines.
• Hands-on experience with a modern cloud data platform; Databricks and/or Microsoft Fabric (or comparable tools such as Azure DF, Synapse, Snowflake) is a strong plus.
• Solid understanding of data modelling concepts (dimensional modelling, data vault, or similar) and governance data models.
• Experience with both batch and streaming data processing; familiarity with event streaming technologies (Kafka, Spark Structured Streaming).
• Familiarity with Git, CI/CD (Github), testing, and infrastructure-as-code.
• Familiarity with data governance, security, and privacy considerations in digital identity or financial contexts.
• Experience with Power BI or other BI tooling is a plus.
• Strong analytical and problem-solving skills; ability to work independently in hybrid/remote setup.
• Excellent communication and collaboration skills in an international environment.

Responsabilités

• Design, build, and maintain robust data ingestion pipelines that bring data from diverse source systems into our central platform.
• Develop and operate batch and streaming pipelines using modern cloud solutions like Databricks or Snowflake.
• Migrate and modernize existing reporting workloads onto the new platform.
• Implement data quality, monitoring, and observability for reliable pipelines.
• Leverage a state-of-the-art data platform to support fraud signals, behavioural insights, and ML use cases.
• Apply solid engineering practices: version control, CI/CD, infrastructure-as-code (Terraform), and clear documentation.

Connaissances

Python

PySpark

SQL

Data pipelines

Analytics

Communication

Formation

Bachelor's or Master's degree in Computer Science / Software Engineering / IT

Outils

Databricks

Snowflake

Azure Synapse

Terraform

Git

Power BI

Description du poste

itsme® is expanding its data platform to power reporting, security, fraud detection and product decisions. As a Data Engineer, you will design pipelines, shift data from source systems to a robust central platform, and enable advanced analytics and ML.

You will work in a hybrid setup in Belgium, collaborating across an international team while shaping the data architecture and governance practices for a scale-up with millions of users.