Senior Data Engineer (AI)

Location: Czechia; full-time work from home or from the Central European offices in Bratislava, Brno, or Prague. The role is remote-first in Central Europe.

Base salary: CZK 1,300,000–1,600,000 at the P3 / Senior Software Engineer level.

Company

hirify.global builds an AI-powered personalization platform, including autonomous search, conversational shopping, autonomous marketing, and the Loomi AI engine, serving more than 1,400 global brands.

What you will do

• Build the Databricks data platform as a founding Datacraft engineer.
• Design production data pipelines using Kafka, Flink, GCS Iceberg, Databricks, Spark, and medallion architecture.
• Own data models and ETL mutations for ID resolution and consent semantics.
• Maintain Airflow / Cloud Composer orchestration, monitoring, data quality, and operational reliability.
• Co-build dashboards and the analytics stack, including canonical metrics, semantic layers, Cube, and Looker Studio.
• Integrate analytics capabilities with the Loomi Marketing Agent and participate in architecture discussions and on-call rotation.

Requirements

• Strong data engineering background with SQL and data modeling skills, including star and snowflake schemas, slowly changing dimensions, partitioning, and clustering.
• Hands-on experience building production-grade data pipelines on Databricks and GCP, ideally with Flink, Iceberg, and Spark on DataProc.
• Experience with Airflow / Cloud Composer and DAG-based scheduled and event-driven workflows.
• Familiarity with open table formats, preferably Iceberg; Delta Lake and Hudi are also acceptable.
• Strong programming skills in Python; Scala, Java, and Go are also relevant.
• Understanding of data quality, lineage, and observability, including SLA/SLO monitoring, missing or late load detection, and backfilling strategies.
• Ability to work across product and engineering teams and turn ambiguous problem statements into incremental, shippable solutions.
• Ability to use coding agents such as Cursor, Claude Code, Copilot, or Gemini CLI as part of daily development, prototyping, and problem-solving.
• Ability to work independently, decompose objectives into tasks, and lead small projects end-to-end with minimal day-to-day guidance.

Nice to have

• Experience in marketing analytics, CDPs, or BI / semantic layers such as Looker, dbt, or Cube.
• Experience with Snowflake, Databricks, or BigQuery.
• Experience with spec-driven development, knowledge graphs, agentic harnesses, or AI-powered analytics.

Culture & Benefits

• Virtual-first and remote-first work environment with flexible working hours and hubs across three continents.
• Freedom, trust, ownership, and responsibility with limited corporate rules and approval processes.
• Five paid volunteering days, company events, and quarterly additional DisConnect days.
• People Development Program, communication coaching, and an annual $1,500 professional education budget.
• Employee Assistance Program, Calm subscription, sports, yoga, meditation opportunities, and extended parental leave up to 26 calendar weeks for primary caregivers.
• Potential RSUs or stock options, company performance bonus, referral bonus up to $3,000, and work-anniversary rewards, subject to employment type.

Hiring process

• Complete onboarding and set up the development environment during the first 30 days.
• Ship a first pipeline, data model, or orchestration improvement to production within 90 days and join architecture discussions and on-call rotation.
• Own a component end-to-end and contribute to measurable team goals within 180 days.