Senior Analytics Engineer
Centra
Greenfield development of a new Data & Insights module for a fashion ecommerce SaaS platform. You'll build data pipelines from client databases (CDC), standardize KPIs with SQL and dbt/Dataform, architect caching for fast dashboards, and develop serverless APIs. The role is hands-on with significant architectural ownership.
Brak jawnych widełek — wynagrodzenie do ustalenia podczas rekrutacji.
Brakuje: team size, on-call requirements.
Greenfield development of a new Data & Insights module for a fashion ecommerce SaaS platform. You'll build data pipelines from client databases (CDC), standardize KPIs with SQL and dbt/Dataform, architect caching for fast dashboards, and develop serverless APIs. The role is hands-on with significant architectural ownership.
- ✓Greenfield development with full architectural ownership
- ✓Strong product focus – understanding how data drives customer decisions
- ✓Backed by H&M Group investment, providing stability
- !Brand new team may lack established processes and could involve ambiguity
- ?Brak jawnych widełek — wynagrodzenie do ustalenia podczas rekrutacji
- •Design and orchestrate near real-time data ingestion from client databases using CDC tools (e.g., AWS DMS, GCP Datastream)
- •Define and implement standardized KPIs using SQL and transformation tools (dbt, Dataform)
- •Architect caching and performance layers to support fast dashboards across 300+ clients
- •Develop and maintain serverless APIs (Lambda, Cloud Run) to power frontend analytics
- •Evaluate and integrate new third-party data sources into the data platform
- •Make architectural decisions on scalability, cost, latency, and reliability
- •Write Infrastructure as Code (Terraform/CDK) for cloud-native deployments
- •Collaborate with product teams to understand how data drives customer decisions
Oferta dla doświadczonych specjalistów (Senior).
Mid-level data engineer with expert SQL, cloud experience (AWS/GCP), and some IaC exposure, willing to grow into architectural ownership.
Juniores or those without experience building data platforms from scratch. Not ideal for those preferring established systems over greenfield development.
- ?How many people are on the new Data & Insights team?
- ?What are the specific expectations for in-office presence per week?
- ?Is there an on-call component for production pipelines?
- ?What cloud provider is primary: AWS, GCP, or both?
- ?What is the budget for tools (e.g., dbt Cloud, Dataform)?
- ?How will success be measured in the first 6 months?
- ?Are there any existing data systems to integrate with?
- −Team size
- −On-call requirements
- −Primary cloud provider (AWS vs GCP)
- −Benefits package details
New team with greenfield development, likely startup-like energy within established company.
3 stages: Introductory Interview (30-45 min online), Technical Interview (1.5-2h online or onsite), Ways of Working Interview (1h online or onsite).