Senior Data Engineer

This is a fully remote position, open to applicants in Czechia, +1 more country.

📋 Description

• Become a founding engineer at Datacraft, contributing to the development of a cutting-edge data platform.

• Construct the Databricks data platform utilizing pipelines that integrate Kafka, Flink, GCS Iceberg, and Databricks.

• Implement medallion architecture through Databricks notebooks along with Spark Declarative Pipeline.

• Take ownership of data models and ETL transformations related to ID resolution and consent semantics.

• Oversee orchestration and monitoring with Airflow / Cloud Composer.

• Develop canonical metrics and models within Databricks.

• Assist with semantic layers and business intelligence tools such as Cube and Looker Studio.

• Ensure seamless integration with the Marketing Agent Insights capability.

• Complete the onboarding process and acquire knowledge of Datacraft, Databricks architecture, and the Marketing Agent.

• Deliver a pipeline, data model, or orchestration enhancement to production.

• Engage in architecture discussions and participate in the on-call rotation.

• Manage a component from start to finish and make informed trade-off decisions autonomously.

• Contribute to team objectives with measurable outcomes.

⛳️ Requirements

• Robust background in data engineering with expertise in SQL and data modeling, including star/snowflake schemas, slowly changing dimensions, partitioning, and clustering.

• Practical experience in developing production-grade data pipelines on Databricks and GCP.

• Familiarity with Flink, Iceberg, and Spark on DataProc.

• Experience with Airflow / Cloud Composer and DAG-based systems for both scheduled and event-driven tasks.

• Knowledge of open table formats, preferably Iceberg, with Delta Lake / Hudi acceptable.

• Proficient programming skills in Python; familiarity with Scala, Java, or Go is also relevant.

• Understanding of data quality, lineage, and observability, which includes monitoring SLAs/SLOs and strategies for detecting missing or delayed loads and backfilling.

• Capability to collaborate across product and engineering teams, transforming ambiguous problem statements into actionable, incremental deliveries.

• Experience with AI-driven workflows utilizing coding agents like Cursor, Claude Code, Copilot, or Gemini CLI.

• Strongly preferred experience with marketing analytics, Customer Data Platforms (CDPs), or BI/semantic layers such as Looker, dbt, or Cube.

• Preferred experience with Snowflake, Databricks, or BigQuery.

• Preferred background in spec-driven development, knowledge graphs, agentic harnesses, or AI-powered analytics.

• Comfortable with a remote-first work environment based in Central Europe.

🏝️ Benefits

• Flexible working hours.

• Virtual-first work arrangement with Bloomreach hubs located on three continents.

• Participation in company events.

• Five paid days off designated for volunteering.

• People Development Program along with personal development workshops.

• Communication coaching opportunities.

• Annual professional education budget of $1,500 for books, courses, certifications, and more.

• Employee Assistance Program featuring access to counselors.

• Subscription to Calm.

• One extra DisConnect day off each quarter.

• Opportunities for sports, yoga, and meditation.

• Extended parental leave of up to 26 calendar weeks for Primary Caregivers.

• Eligibility for Restricted Stock Units or Stock Options, depending on role, seniority, and location.

• Company performance-based bonus.

• Employee referral bonus of up to $3,000.

• Rewards for work anniversaries.