Lead Analytics Engineer

Databricks, Financial KPI's, Python

We are looking for a Lead Analytics Engineer to take a hands-on project leadership role in building scalable, production-grade data assets on a modern lakehouse platform.

This role combines technical excellence with leadership, focusing on rebuilding key business KPIs (ARR & Gross Margin) into reusable, governed data products that serve multiple downstream use cases.

Start

ASAP

Duration

3mo + extensions

Location

Remote, remote

Allocation

100%

As a Lead Analytics Engineer, you will lead the design and implementation of reusable, high-quality data models and KPI definitions on Databricks.

This is a working lead role: you will plan and drive delivery, collaborate closely with business stakeholders, and contribute directly to hands-on development in Python and SQL.

Responsibilities

Lead the end-to-end 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
Collaborate with finance and commercial stakeholders to align on KPI definitions
Guide and coordinate a small team of analytics engineers
Ensure high-quality delivery through:
- Version-controlled SQL transformations
- CI/CD practices
- Data quality checks and testing
Produce clear documentation, including metric definitions and data lineage
Establish delivery plans and ways of working for ongoing development

Required Experience

Extensive experience in data-related roles, including analytics engineering or data engineering
Proven experience leading a focused data or analytics delivery
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 building tested, production-grade data pipelines with CI/CD
Ability to work closely with business stakeholders and drive KPI definitions to completion
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
Background in finance or revenue data domains
Experience building data products for AI / LLM-driven use cases

This is urgent, full-time, long-term assignment. Mostly remote, but some visits to client office in Helsinki area would be preferred. English language skills are enough.

Lue lisää projektin yksityiskohdista kirjautuneena.

Luothan tunnukset vaikka olisit täyttänyt yhteystietolomakkeen vanhoilla sivuillamme, kiitos!