Data Engineer (m / f / x) Tech roles (Operations) • Multiple locations • Hybrid Remote

Your daily tasks will include

building, designing and developing data warehouses and data lakes

designing and developing data pipelines

setting up proper software development lifecycle measures (CI / CD, automated test and validation, version control)

collaborating with data scientists, analysts, and other stakeholders to understand data needs and translate them into technical solutions

staying up to date with the latest trends and technologies in the data engineering field

mentoring and guiding less experienced developers in the area of data engineering

The following will make you succeed in this role

a senior mindset

excellent communication and planning skills

proficiency in data modelling and very good understanding of data management concepts and their applications

understanding of data architecture patterns like star schema, medallion, snowflake schema and data vault modelling

hands on experience with

• Airflow, PySpark, Python, dbt, Databricks or Snowflake
• Cloud computing technologies and architectures
• deep – data engineering relevant - expertise in at least one of Azure Synapsis, Microsoft Fabric, AWS Redshift, GCP Big Query, GCP Dataflow

experience with Infrastructure as Code frameworks (. Terraform, Pulumi, CloudFormation)

fluency in German and English