Role
As a Lead Data Engineer, you will play a key role in designing, building, and scaling modern data platforms for our clients.
You will:
- Assess and understand clients’ data landscapes, including sources, architectures, and data quality
- Collaborate with business and IT stakeholders to translate requirements into robust data solutions
- Design, build, and maintain scalable data platforms (pipelines, data lakes, data warehouses) on modern cloud infrastructures
- Implement data models, schemas, and governance frameworks to support analytics and reporting needs
- Contribute to technical sales and pre-sales activities, including solution design and estimations
- Work with large-scale, distributed data systems, troubleshoot issues, and stay current with data engineering best practices
Requirements
In order to apply, this should be part of your background:
- 5+ years in Data Engineering with expertise in Data Platforms, Data Modeling, and building production-grade pipelines
- Strong ability to translate business requirements to tech solutions
- Deep expertise in Microsoft Fabric.
- Experience with integration of SAP data
- Leadership mindset and experience in managing data engineering teams
- Skilled in distributed data processing (, Spark), data lakes/warehouses, ETL/ELT patterns, and Python development
- Strong problem-solving, ownership, and consulting communication skills in English, able to work independently in complex environments
Benefits
What we offer
- A competitive compensation package
- A yearly education budget to steep your learning curve
- A yearly sport budget because a fit body leads to a fit mind
- A flexible working culture because your work-life balance matters to us
- A position that enables you to have an impact on 1’000s of people, and the whole company's growth.
- An international, knowledgeable, and passionate team with a strong collaborative mindset