Data & BI Consultant

Function

We’re looking for a Data Engineer to join our client’s team and play a key role in building a next-generation data and information platform in a modern cloud environment. Our client is developing a robust analytics ecosystem powered by Databricks within a Microsoft Azure Cloud landscape, with Power BI as the reporting layer. Multiple source systems and applications are integrated into a layered data platform designed to enable advanced analytics use cases and business intelligence solutions.

You will join one of several domain-focused teams, working closely with business stakeholders and a central foundation team. In this role, you will contribute to a strategic, project-driven transformation initiative, collaborating with internal experts to deliver scalable and future-proof data solutions.

Role & Responsibilities

As a Data Engineer, you will contribute to both the expansion and operational stability of the data platform. Your responsibilities include:

• Further developing the cloud-based data platform in line with our client’s architecture and design principles

• Analyzing, modeling, and implementing data analytics and business intelligence use cases

• Designing and optimizing data flows across multiple data and information layers

• Maintaining and supporting the platform in an operational context

• Collaborating closely with domain teams to translate business needs into scalable data solutions

This role requires a strong data mindset — someone who truly understands data, thinks in data models and structures, and combines analytical insight with solid technical execution skills.

Required Expertise

We are looking for a professional with proven experience in the data and BI domain, including:

• Demonstrated experience as a BI Consultant and in data analysis

• Strong background in data warehouse modeling and data warehousing concepts, processes, and architectures

• Hands-on experience with Data Vault modeling

• Experience with Databricks in a cloud environment

• Solid knowledge of Python or PySpark

• Strong SQL skills

• Experience with ETL and broader data management practices

• Familiarity with CI/CD pipelines and DevOps practices

• Experience with Power BI (semantic modeling, governance, and reporting)