Data Engineer

This role is offered on a Contract-to-Hire basis , with an initial pre-defined contractual period. Upon successful completion of this period, the position is intended to transition to Burckhardt Compression’s permanent payroll . Main responsibilites and tasks: Develop and operate the Azure Databricks data platform and enterprise data lake for analytics, AI and production data products.

Design, implement and optimize production-grade data pipelines and transformation workflows using Python, SQL, Py. Spark and, where required, Scala. Translate business requirements into scalable ingestion, transformation, mapping and data-quality solutions. Administer Databricks workspaces, Unity Catalog, identities, permissions, clusters, jobs and platform integrations.

Maintain the supporting Azure infrastructure, connectivity, security configuration and infrastructure-as-code deployments. Ensure reliable platform operations through monitoring, troubleshooting, upgrades, incident recovery and controlled production changes. Manage platform cost, technical documentation and operational continuity in collaboration with Data Science, MLOps, Cloud Infrastructure and Cybersecurity teams.

Potentially extend development and operations scope into Microsoft Fabric for business intelligence and AI use cases. Strong data-engineering skills in Python, SQL and Py. Spark; Scala knowledge is an advantage. Hands-on experience with Azure Databricks, Apache Spark, Workflows, clusters, runtime management and performance tuning.

Strong knowledge of Unity Catalog, cloud storage, identities, access controls and external locations. Practical Azure experience covering storage, networking, private endpoints, containers, identities and secrets. Experience with Terraform, Azure DevOps, Git, CI/CD and controlled production deployments. Ability to build and support scalable batch, event-driven and container-based data pipelines integrating files, APIs, IoT and cloud sources.

Strong capability in platform security, monitoring, troubleshooting, performance optimization and cloud cost management; Microsoft Fabric, Power BI and Azure AI knowledge are advantages. Education, Experience and Languages: Bachelor’s or Master’s degree in computer science, data engineering, software engineering or a comparable technical discipline.

5–8 years of relevant data engineering experience, including at least 3 years with Azure Databricks, Apache Spark and Azure cloud services. Proven experience developing and operating production data platforms, including data integration, modelling, performance tuning and DevOps practices. Experience in an industrial environment and with IoT or machine-generated data is preferred.

English proficiency at B2 level or higher; German is an advantage. Burckhardt Compression creates leading compression solutions for a sustainable energy future and the long-term success of its customers. The Group is the only global manufacturer that covers a full range of reciprocating compressor technologies and services.

Since 1844, its passionate, customer-oriented and solution-driven workforce has set the benchmark in the gas compression industry.