The team's focus is on rebuilding key business KPIs (ARR & Gross Margin) into reusable, governed data products that serve multiple downstream use cases.
As a Senior Data Engineer, you will work on various data engineering tasks from ingestion to gold layer on Databricks. You could also contribute on analytics engineering side of the work if interested.
Responsibilities
- Work in the rebuild of ARR and Gross Margin KPIs as reusable data assets
- Design and implement gold-layer data models serving multiple consumers (BI tools, applications, notebooks)
- Define and maintain KPI logic within a semantic / metrics layer with clear lineage
- Build robust data pipelines from ingestion to gold layer
Required Experience
- Strong experience in data-related roles, including analytics engineering or data engineering
- Strong hands-on experience with:
- Databricks (Delta, SQL, workflows, Unity Catalog)
- SQL
- Python
- Solid understanding of:
- Dimensional modelling and semantic layers
- Medallion architecture (bronze/silver/gold)
- Experience using AI-assisted development in a controlled, production-ready manner
Nice to Have
- Experience with SaaS or commercial KPIs (ARR, MRR, churn, gross margin)
- Experience with dbt or similar transformation frameworks
- Experience with Power BI or similar BI tools
This is urgent, full-time, assignment that is potentially long-term. Mostly remote, but some visits to client office in Helsinki area could be preferred. English language skills are enough.