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Senior Data Engineer, Datacraft Team

Bloomreach

New Remote
Remote Senior 39,600 - 49,530 EUR/year 🇬🇧 English
Python Go Kafka Databricks Airflow Flink GCP Mongo Redis Spark Kubernetes Terraform Grafana Prometheus PagerDuty Sentry OpenTelemetry GitLab CI/CD Iceberg Delta Lake Hudi SQL

Job description

About the role

Bloomreach is building an agentic platform for personalization and is hiring a Senior Data Engineer (P3) for its newly formed Datacraft team. Datacraft builds the next-generation data platform powering internal Databricks and the Loomi Marketing Agent with data insights, and works with enterprise customers in Databricks and BigQuery. The team is AI-first and expects engineers to use coding agents such as Cursor, Claude Code, Copilot and Gemini CLI as part of their daily workflow.

The role is based in one of the Central European offices (Bratislava, Brno or Prague) or fully remote, with a base salary range of EUR 39,600 - EUR 49,530.

Key responsibilities

  • Build the Databricks data platform: design data pipelines (Kafka to Flink to GCS Iceberg to Databricks) using Databricks notebooks and Spark Declarative Pipeline, own data models and ETL mutations for ID resolution and consent semantics, and maintain orchestration (Airflow / Cloud Composer) and monitoring.
  • Co-build dashboards and analytics stack: design canonical metrics and models on Databricks, support semantic layers and BI tools (Cube, Looker Studio), and integrate tightly with the Marketing Agent (Insights skill).

Required profile

  • Solid data engineering background with strong SQL and data modeling skills (star/snowflake schemas, slowly changing dimensions, partitioning and clustering).
  • Production-grade data pipelines on Databricks and GCP, ideally with Flink, Iceberg and Spark on DataProc.
  • Orchestration experience with Airflow / Cloud Composer and DAG-based systems.
  • Understanding of data quality, lineage and observability (SLAs/SLOs, late loads, backfilling).
  • Comfortable working across product and engineering teams.
  • Preferred: marketing analytics, CDP or BI/semantic layer background, Snowflake/Databricks/BigQuery experience, and spec-driven development or knowledge graph experience.

Required skills

  • Python (preferred), Scala/Java/Go also relevant
  • Kafka, Databricks, Airflow, Flink (Java), GCP, Mongo, Redis, DataProc, Spark, Kubernetes, Terraform
  • Grafana, Prometheus, PagerDuty, Sentry, OpenTelemetry, GitLab CI/CD
  • Open table formats (Iceberg preferred, Delta Lake / Hudi acceptable)

What we offer

  • Flexible working hours and virtual-first work with hubs across three continents
  • People development program, $1,500 annual professional education budget and a 5-value culture
  • Employee assistance program, Calm subscription, DisConnect days and extended parental leave up to 26 weeks
  • Restricted stock units or options, company performance bonus and up to $3,000 referral bonus

Questions fréquentes

Le salaire proposé pour ce poste est de 40-50k EUR par an. Le détail figure dans l'annonce.
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