Role Details

Location

Aarhus, Denmark

Salary (est. USD)

~$140K - $220K (est. USD)

Estimated based on role seniority, company stage (Series I), and industry benchmarks. Actual compensation may vary.

How is this calculated?

Seniority band Senior / Lead

Base range $140K – $220K

Based on Web3 & AI industry compensation data. Seniority is inferred from role title keywords. Company stage affects ranges: early-stage (−15%), late-stage/public (+10%).

Department

Engineering - Pipeline

Type

Full-time

Vertical

AI

Posted

1 week ago

Hiring Manager

Best Guess

Job Description

P-1343

As a software engineer with a data engineering focus, you will work with your team to drive projects that are centered around data analysis and infrastructure for critical business domains for cost attribution, capacity forecasting and efficiency tracking.

The impact you'll have:

Design and implement cost-attribution models and systems by combining your data engineering expertise with a deep technical understanding of the underlying scheduling platforms.
Develop systems that generalize capacity management to ensure flexibility, efficiency, and safety across diverse workloads and environments.
Build systems to automatically maintain the right balance between operational efficiency and safety by monitoring, forecasting, and proactively managing capacity demand across systems.
Build foundational data models, metrics, and telemetry pipelines to track product-wide system reliability and efficiency—providing end-to-end visibility and empowering other teams with actionable insights.

What we look for:

BS (or higher) in Computer Science, or a related field.
5+ years of production level experience in one of: Java, Scala, Go, Python - and SQL.
2+ years of professional experience with Data Engineering or Data Science.
Experience developing large-scale distributed systems.
Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.