Data Platform Engineer
At Sigma Embedded Engineering, we are currently looking for a Data Platform Engineer to join a team building a new data platform from scratch. The platform will integrate data from several departments and systems, replacing an outdated solution with a modern platform designed for analytics and future development.
The work focuses on building data pipelines, contributing to the overall platform structure, and helping define how data should be handled, stored, and made accessible for analysis and internal services.
A good understanding of data architecture and APIs is important, since the platform needs to integrate data from multiple systems and sources. You will help ensure that data can be efficiently processed and exposed through APIs and platform services.
Since the organization is also evaluating different cloud options, including Azure and AWS, a general understanding of cloud platforms and data platform environments is beneficial.
Your role:
You will work as part of a team building a modern data platform that supports analytics, reporting, and internal data services. The role includes developing pipelines, contributing to platform structure, and supporting the availability of reliable data across the organization.
What you’ll do
Build and maintain data pipelines
Work with ETL and ELT processes
Integrate data from multiple internal systems and sources
Support the structure and development of a modern data platform
Help ensure data can be accessed through APIs and platform services
Work with lakehouse-based data environments
Collaborate with engineers and stakeholders across teams
Contribute to CI/CD pipelines and development workflows
Support data modeling and data preparation for analytics and reporting
We are looking for someone who has
Experience working as a Data Engineer or in a similar role
Around 2–3 years of experience working with data platforms or data pipelines
Experience working with ETL or ELT pipelines
Experience with cloud platforms such as Azure or AWS
Good knowledge of SQL and Python
Understanding of APIs and data integrations
Basic understanding of data modeling concepts
Experience working in modern development environments with CI/CD
Fluent in English
Technologies used in the assignment
Azure Databricks
PySpark / Apache Spark
Azure Data Factory (ADF)
Delta Lake / Lakehouse architectures
Azure cloud services
CI/CD tools such as Azure DevOps, Jenkins, or Git
SQL and Python
Data modeling approaches such as Dimensional or Data Vault
Power BI (data modeling and dataset preparation)
What we offer
Long‑term, stable projects
Work with modern technologies in international development teams
Hybrid or remote work options (project‑dependent)
Competitive salary and benefits
Professional, friendly and non‑hierarchical work environment
Who we are
At Sigma Embedded Engineering, we believe that great results come from people who feel supported, trusted and challenged. We focus on building long‑term relationships — both with our clients and our employees — and on finding projects where you can grow and really make an impact.
Part of the Sigma Group
We are part of the Sigma Group, combining the stability of a large international organization with the flexibility and mindset of a specialized engineering company. The group has over 5,000 employees and operates globally across multiple technical domains.