Senior Analytical Engineer

Quick Facts

• Role: Senior Analytical Engineer (Analytics Engineering / Data Engineering)

• Team focus: Data Science & Analytics; data foundations for business domains

• Mandate: Turn raw data into governed, reliable, business-ready datasets and metrics

Description

You will own the data foundations for a business domain end to end, turning raw data into trusted datasets, curated dimensional models, and governed metric standards. The role builds the Gold layer and semantic layer that power dashboards and AI-powered self-serve analytics (including Claude and Databricks Genie), while ensuring data quality, freshness, and reliability.

Responsibilities

• Own the Gold layer for a business domain by designing and continuously improving curated dimensional data models

• Implement canonical business logic for core KPIs as governed, versioned metric marts

• Build and curate the semantic layer and Genie spaces (metadata, documentation, prompt/metric definitions)

• Maintain a metric dictionary as a single source of truth for metric meaning, ownership, and location

• Author data contracts and SLAs at the Silver→Gold boundary; partner on inputs and own data quality, freshness, and oncall for Gold/metric-mart failures

• Build and maintain certified, board-ready dashboards on governed Gold data

• Partner with Product, Business, Data Science, and Engineering to turn ambiguous questions into scalable datasets and raise the data-model quality bar

Requirements

• 4+ years in analytics engineering, data engineering, or a closely related analytics role

• Advanced SQL and strong dimensional data modeling fundamentals (star/snowflake schemas, slowly changing dimensions, semantic layer design)

• Hands-on experience with dbt (or equivalent), orchestration tooling (e.g., Airflow), Git, and modern warehouse/lakehouse platforms (Databricks preferred)

• Experience with data quality testing and observability, schema management and data contracts, and query/model performance and cost tuning

• Domain fluency in at least one business area (e.g., PLG funnels, SLG pipeline, marketing attribution, product telemetry, revenue/ARR) with judgment to fix KPI trust issues

• Strong cross-functional partnership for requirements, prioritization, documentation, enablement, alignment on metric definitions, and explaining technical tradeoffs

• Curiosity about AI-native analytics (NL2SQL, metadata/semantic layers for self-serve) and tools like Claude and Genie; exposure to Unity Catalog, Looker/LookML, or reverse-ETL/activation is a plus

Benefits

• Generous, transparent and fair compensation (base salary + RSUs)

• Health insurance with dental and travel coverage (Lux Med)

• Vacation allowance

• Career growth budget

• Home office setup budget

• Gym/Fitness card

• Fertility healthcare and family-forming support (Carrot)

• Mental Health Support (Modern Health)

• Group life insurance

• MacBooks with necessary accessories

• Estimated base salary range: 20,833–23,700 PLN gross per month (subject to taxes and interview-based assessment)