Data Engineer – Azure & Databricks

NISH Tech BV; Brussel; Sur place; EUR 60 000 - 90 000; Plein temps

Résumé du poste

NISH Tech BV is seeking a Data Engineer to join the data organization supporting a leading European energy and electricity transmission company. You will design and implement data pipelines, enrich data with Python in Databricks, and work with SQL Server for processing.

In an Agile product team, you will collaborate with analysts and stakeholders, contribute to testing and DevOps, and deliver reusable, well-documented data products across the enterprise.

Qualifications

• Hands-on experience with data pipelines and analytics.
• Proficient in SQL Server and Python for data processing.
• Experience in Azure-based data solutions and Databricks.
• Strong problem-solving and communication with stakeholders.

Responsabilités

• Design and implement scalable data pipelines.
• Develop data enrichments using Python in Databricks.
• Work with SQL Server for data processing and management.
• Implement Azure-based data solutions and services.
• Collaborate with business analysts and stakeholders to refine requirements.
• Contribute to testing, DevOps practices and documentation.
• Promote reusable, well-documented data products across the enterprise.
• Contribute to data governance activities such as glossary and lineage.

Connaissances

Analytical mindset

Stakeholder management

Product-oriented mindset

Communication skills

Outils

SQL Server

Python

Azure

Databricks

Azure Data Factory

Azure Functions

Azure Synapse

Description du poste

We are looking for a Data Engineer to join the data organization of a leading European energy and electricity transmission organization. You will work within an Agile product team, developing reliable data solutions that support business needs and improve the quality, accessibility and usability of enterprise data.

The role focuses on building data pipelines, data enrichments, efficient storage structures and analytical solutions, with strong exposure to Azure, Databricks, SQL Server and Python. You will collaborate with business analysts and stakeholders, contribute to testing and DevOps practices, and help create reusable and well-documented data products.

Key Responsibilities

• Design and implement scalable data pipelines.
• Develop data enrichments using Python in Databricks.
• Work with SQL Server for data processing and management.
• Implement Azure-based data solutions.
• Work with Azure Databricks and Azure Data Factory.
• Contribute to solutions using Azure Functions and Azure Stream/Log Analytics where required.
• Develop efficient storage structures and analytical data solutions.
• Support data exchange endpoints for business users.
• Contribute to data governance activities such as glossary, modelling, lineage and data quality.
• Collaborate with business analysts and stakeholders to refine requirements.
• Present reusable and integrated data solutions.
• Participate in extensive testing and strengthen DevOps practices.
• Create and maintain technical documentation.
• Continuously improve data solutions and promote reuse across the enterprise.
• Contribute to Agile product-team objectives and overall product success.

Required Skills

Mandatory / Core Skills

• Hands-on experience in at least 2 relevant technical categories specified in the JD.
• SQL Server.
• Python for data pipelines or data enrichment.
• Analytical and problem-solving mindset.
• Good communication and stakeholder-management skills.
• Product-oriented mindset.

Nice-to-Have Skills

• Redis
• Neo4j
• Data Governance

Experience

More than 3–5 years of extensive hands-on experience is preferable, particularly across the relevant technical areas.

Languages

• German, French or Dutch – Fluent / Soft requirement

About NISH Tech BV

NISH Tech BV is an IT consulting and technology services company connecting skilled technology professionals with organizations across Europe. We support technology, digital transformation, data and enterprise initiatives by connecting the right expertise with the right opportunities.