Senior Data Engineer, Datacraft

Senior Data Engineer, Datacraft

Company: Bloomreach

About Bloomreach:

Bloomreach builds an agentic personalization platform serving 1,400+ global brands. The company focuses on autonomous search, conversational shopping, and autonomous marketing powered by Loomi AI.

About the Team:

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 Datacraft team handles three interconnected domains:

• Building data warehouse platforms (~60%): Design data pipelines (Kafka -> GCS -> Iceberg -> DWH) following medallion architecture, maintain orchestration systems
• Developing the Loomi Analytics Agent's data layer (~20%): Evolving analytics from report builder to agentic assistant
• Co-building dashboards and analytics infrastructure (~20%): Moving reporting to DWH-backed modern analytics

Key Responsibilities

• Design data pipelines following medallion architecture (Kafka -> GCS -> Iceberg -> DWH)
• Own data models and ETL for ID resolution and consent semantics
• Implement evaluation harnesses and analytics skills for the agent
• Build MCPs and data interfaces for agentic platforms
• Design canonical metrics and semantic layers with BI tools

Required Experience

• Strong SQL and data modeling expertise (star/snowflake schemas, slowly changing dimensions)
• Production-grade data pipeline experience on GCP (BigQuery, Apache Iceberg, Spark on DataProc)
• Airflow/Cloud Composer orchestration and DAG-based systems
• Open table formats familiarity (Iceberg preferred)
• Python programming (preferred); Scala/Java/Go acceptable
• Data quality, lineage, and observability understanding

Strongly Preferred

• Agentic platforms or AI-powered analytics background
• Marketing analytics, CDPs, or BI/semantic layer experience (Looker, dbt, Cube)
• Snowflake or Databricks alongside BigQuery

Personal Qualities

Ownership & accountability, Product thinking, Clear communication across engineering and product, Bias for reliability

Tech Stack: Python, Go, SQL, Apache Kafka, BigQuery, Iceberg, GCS, Spark, DataProc, Airflow, Snowflake, Databricks, GCP, Kubernetes, Terraform, LLM APIs, MCP, agent orchestration, Cube, Looker Studio, Grafana, Prometheus, PagerDuty, Sentry, OpenTelemetry, GitLab CI/CD

Success Timeline

• 30 Days: Understand domain, complete onboarding, dev environment setup
• 90 Days: Ship first pipeline/model/orchestration to production
• 180 Days: Own component end-to-end, make independent trade-off decisions

Location: Work in one of our Central European offices (Bratislava, Prague, Brno) or from home on a full-time basis.

Benefits:

• Restricted Stock Units or Stock Options
• Company performance bonus
• $3,000 employee referral bonus
• $1,500 annual professional education budget
• Extended parental leave (26 calendar weeks for primary caregivers)
• 5 paid volunteering days
• Flexible hours
• Quarterly DisConnect days
• Employee Assistance Program
• Calm app subscription