About the role
SIX drives the transformation of financial markets.
What sets us apart drives us ahead: between local roots and global relevance, we are a unique blend of tradition and future, of foundation and growth. We value bright minds and inspire them to grow with their ideas. Come and shape the future of finance with us.
CMC Analytics Engineer
Warsaw | Up to 40% working from home possible | Reference 8340
SIX is building a dedicated Tech & Data capability within the Marketing & Communications (CMC) department. Its foundation is a marketing data spine on the enterprise Databricks Data Lakehouse: a traceable chain from campaign activity and spend through engagement, leads and opportunities to revenue.
Reporting to the Head Tech & Data Marketing & Communications, the CMC Analytics Engineer owns the transformation layer: the data marts, the identity stitching, the feature pipelines feeding the measurement models, and the semantic layer behind the ROMI and CMC KPIs cockpit.
This is an opportunity for an analytics engineer who wants to shape a domain data product from first principles — with a clean split of responsibilities (ingestion provided as a service), a modern platform, and models and executives as direct customers.
Do you fit?
Strong analytics-engineering craft: advanced SQL and PySpark, dimensional and medallion modelling, dbt-style transformation discipline
Production experience on Databricks (Unity Catalog, workflows) or a comparable lakehouse platform
Experience building semantic models and certified datasets
A data-contract and data-quality mindset: schemas, tests, monitors and clear interfaces to upstream providers
Ideally, familiarity with marketing and CRM domain data, campaigns, funnels, opportunity data
The ability to work as an embedded counterpart to external build partners and internal platform teams
Experience embedding AI agents into business processes and data workflows, agentic pipelines, Genie-style assistants and AI endpoints on the lakehouse
What you'll own
Design and build the marketing transformation layer on Databricks: campaign, spend, engagement, opportunity and revenue data marts on the ingested raw data
Build identity and account stitching: persistent identifiers linking campaigns, contacts, accounts, opportunities and revenue into one measurable spine
Build and maintain feature pipelines for marketing mix modelling, attribution and personalization models
Own the semantic layer and certified datasets serving the CMC reporting suite and self-service reporting
Define data contracts with the IT ingestion service and upstream enterprise data models; implement data-quality monitors against the team's governance standards
Apply solid engineering practice: Unity Catalog, CI/CD, testing, cost and performance optimisation, documentation
Support activation use cases — audiences and segments delivered back to the MarTech stack adhering to regulations.
Strong analytics-engineering craft: advanced SQL and PySpark, dimensional and medallion modelling, dbt-style transformation discipline
Production experience on Databricks (Unity Catalog, workflows) or a comparable lakehouse platform
Experience building semantic models and certified datasets
A data-contract and data-quality mindset: schemas, tests, monitors and clear interfaces to upstream providers
Ideally, familiarity with marketing and CRM domain data — campaigns, funnels, opportunity data
The ability to work as an embedded counterpart to external build partners and internal platform teams
Experience embedding AI agents into business processes and data workflows — agentic pipelines, Genie-style assistants and AI endpoints on the lakehouse
Benefits & perks
Sound like you?
Negotiable · SIX Global Services · Warszawa
On SIX Global Services's website · ~2 minutes
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