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Senior Data Engineer, Datacraft team

Bloomreach CzechiaEst. Est. CZK 1,200,000–1,800,000 / yearSenior

Estimated range based on role, country and industry — not published by the company.

Key requirements

  • Python
  • Java
  • Go
  • Sql
  • Spark
  • Airflow
  • Dbt
  • Snowflake
  • Gcp
  • Kubernetes
Bloomreach is building the world’s premier agentic platform for personalization .We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We’re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey. We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine — Loomi — so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. Become a Senior Data Engineer for Bloomreach! Join our newly formed Datacraft team — the team building the next-generation data platform that powers internal Databricks, the Loomi Marketing Agent with Data Insights capability for Bloomreach Marketing platform. Your engineering work will directly impact how hundreds of enterprise customers access, understand, and activate their Bloomreach data internally and with data share in Databricks and BigQuery. The base salary range for this position at the P3 / Senior Software Engineer level is CZK 1 300 000 - CZK 1 600 000. The pay range actually offered will take into account a variety of potential factors considered in compensation, including but not limited to skills, qualifications, geographic location, accomplishments, experience, credentials, internal equity and business needs, and may vary from the range listed above. Working in one of our Central European offices (Bratislava, Brno or Prague) or from home on a full-time basis, you'll become a core part of the Engineering team. What challenge awaits you? You will join the Datacraft team as one of its founding engineers. Datacraft is a new team in the Engagement pillar, established to tackle three interconnected domains: Data Warehouses (~60% of team domain) — making Bloomreach data first-class in customer Databricks. The strategic goal for 27 is to use Databricks to exponentially accelerate data adoption — both for customers who want their data outside Bloomreach and for Bloomreach itself to build analytics faster. Dashboards & Analytics Stack (~20%) — moving Marketing reporting and dashboarding from the proprietary stack onto Databrick. Datacraft is an AI-first team. We believe code is a commodity and expect every engineer to fluently use coding agents (e.g., Cursor, Claude Code, Copilot, Gemini CLI) as a core part of their daily workflow. The ability to leverage AI tooling to accelerate development, prototyping, and problem-solving is not optional — it's foundational. We rely heavily on knowledge graphs and spec driven development. As a P3 (Senior) engineer at Bloomreach you are an independent professional — expert in at least one component, able to decompose objectives into tasks, and lead small projects end-to-end with minimal day-to-day guidance. Your job will be to: a. Build the Databricks data platform — Design data pipelines (Kafka → Flink -> GCS Iceberg → Databricks) following medallion architecture using Databricks notebooks and Spark Declarative Pipeline. Own data models and ETL mutations for ID resolution and consent semantics. Maintain orchestration (Airflow / Cloud Composer) and monitoring. b. Co-build dashboards & analytics stack — Design canonical metrics and models on Databricks, support semantic layers and BI tools (Cube, Looker Studio), ensure tight Marketing

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