Data Engineer (External)

We are looking for a Data Engineer (External) to join Heidelberg Materials Digital Hub Varna.

Heidelberg Materials is one of the largest global building materials companies, providing the materials to build our future. Our future is sustainable. Our future is digital. And it goes way beyond cement, aggregates and ready-mixed concrete. With more than 51,000 employees in over 50 countries, we are known for our expertise and superior quality.

As an integral part of Heidelberg Materials, Digital Hub Varna drives the vision of becoming a leading technology company in the building materials sector. Here, innovation meets impact, empowering us to redefine the industry from within.

Your next challenge:

• Identify meaningful, reliable and accurate data across a diverse data landscape
• Design and develop new data engineering pipelines with cloud tools and frameworks
• Prepare and accompany the roll-out of our data pipelines and applications by ensuring data availability and consistency in our Data Lake
• Requirement engineering of reporting needs and communication with different stakeholders
• Contribute as a valued team member to testing, debugging, QA, and documentation of data pipelines and systems

Your profile:

• University degree in Computer Science or equivalent experience
• Strong analytical and problem-solving skills
• Data Engineering working experience, ideally with Python
• Willingness to learn new technologies
• Experience with big data technology stack, for example, (Py-)Spark, Delta Tables, etc.
• 5+ years of experience with general-purpose languages such as C#, Python, Java, Scala etc
• Fluency in SQL and relational DB systems (PostgreSQL, SQL Server)

Nice to have:

• Experience with data warehousing, infrastructure, ETL/ ELT and analytic tools such as Azure Synapse or Databricks
• Experience with multiple Big Data file formats (Parquet, Avro, Delta Lake)
• Experience with time-series databases and streaming data processing
• Proficiency with PySpark
• Proficiency with .Net
• Experience setting up MLOps processes and a machine learning model registry
• Experience with CI/CD pipelines on Gitlab
• Some experience with Terraform and Kubernetes