Device Insight develops IoT platforms and services that help organizations connect and manage machines, vehicles, facilities, and other devices. Founded in 2003, the company’s CENTERSIGHT® platform supports data collection, reporting, remote services, and alerts. Device Insight works with large enterprises and mid-sized customers in fields including machinery and plant engineering, HVAC, commercial vehicles, vending, transport, energy, and connected homes. Its services span business case analysis, implementation, and IT operations, supporting IoT projects across the technology ecosystem.
Senior Data Engineer – Databricks, Munich Hybrid
Build governed Databricks data products for Device Insight, an industrial IoT and smart factory software company. Develop reliable pipelines, deployment automation, and self-service analytics.
Opis
- Build and operate Device Insight’s Databricks data platform reliably.
- Develop and optimize Python and SQL pipelines using the Medallion Architecture.
- Manage governance, access controls, and data lineage with Unity Catalog.
- Deliver data to business teams and customers through Power BI dashboards and reports, and Databricks Genie.
- Automate infrastructure and deployments using Terraform and Declarative Automation Bundles.
- Create CI/CD pipelines.
- Use AI coding assistants such as Claude Code or GitHub Copilot for pipeline development, testing, and documentation.
- Turn customer needs into technical requirements and data models.
- Collaborate with software development, product management, and project teams.
- Maintain data quality, monitoring, and traceability.
Zahteve
- Bring several years of senior data engineering experience, ideally with Databricks as the main platform.
- Have advanced Python and SQL skills.
- Have hands-on experience with the Medallion Architecture and building and managing data pipelines.
- Have used Unity Catalog for governance, permissions, and lineage.
- Bring DevOps experience, including Terraform infrastructure as code, Declarative Automation Bundles for deployments, and confident Git use.
- Have reporting experience, such as Power BI; initial exposure to Databricks Genie is a plus.
- Have practical experience with agentic engineering tools such as Claude Code or GitHub Copilot.
- Have experience collaborating closely with software development teams in agile settings.
- Be able to turn customer needs into technical requirements, data models, and pipelines.
- Have good German and English skills.
- Java or Kotlin knowledge is a plus.
- Experience with industrial, smart factory, or IoT data is a plus.
- Experience with streaming or real-time data is a plus.
Ugodnosti
- Hybrid work in the greater Munich area, combining remote and office work; fully remote work is possible within Germany.
- Choose your IDE, operating system, and hardware, including Mac or Lenovo devices.
- AI coding tools are provided.
- Join tech talks and discussions about technology trends.
- Take part in ShipIT Days.
- Receive an annual professional development budget.
- Access a company pension scheme.
- Work flexible hours.
- Enjoy a foosball table and rooftop terrace with barbecue.
- Get free fruit and beverages.
- Attend regular company and after-work events.
- Work from an attractive office at Riem Arcaden, next to Messe München.