Data Engineer – Design Scalable Data Pipelines

About the role

We are seeking an experienced Data Engineer to join our team on a permanent basis. You will help our customers digitalise their businesses by building robust data foundations that enable data‑driven solutions. The role can be tailored to your preferences and will be performed in a hybrid work mode.

Key responsibilities

• Design and develop scalable data pipelines, data platforms, data warehouses and data lake solutions.
• Transform, model and integrate data from multiple sources into reliable, usable datasets.
• Collaborate with Data Scientists, software developers and other specialists to turn business needs into technical solutions.
• Ensure data quality, reliability, security and maintainability throughout the data lifecycle.
• Work with both batch and real‑time processing, staying up‑to‑date with cloud technologies and modern data architectures.

Required profile

• Proven experience as a Data Engineer or in a similar data‑focused role.
• Strong hands‑on experience with modern data engineering tools such as dbt, Snowflake and/or Databricks.
• Good knowledge of SQL and experience with data transformation and integration.
• Experience with cloud platforms such as Azure or AWS and an applicable educational background.

Required skills

• dbt
• Snowflake
• Databricks
• SQL
• Azure
• AWS