Data Engineer II (Global Discovery, Consumer)

Location: Berlin, Germany; hybrid work with office attendance two days per week

Company

hirify.global operates a global local-delivery platform across around 65 countries, with technology supporting consumer ordering, discovery, and personalized experiences.

What you will do

• Own batch pipelines end-to-end by building new Python workflows and improving existing workflows for reliability, readability, and testability.
• Define, build, and operate the Unified Data Layer with Airflow and dbt while keeping BigQuery workloads efficient and cost-aware.
• Maintain workflow reliability through tiers, SLOs, runbooks, alerting, data-quality checks, business-logic validation, and testing.
• Investigate production incidents, identify root causes, and improve observability and operational practices.
• Build self-serve analytical tooling for analysts and data scientists.
• Adapt codebases and workflows for agentic tooling while maintaining quality and ownership of results.

Requirements

• 3+ years of data-engineering experience, including production data workflows primarily in Python.
• Advanced analytical or OLAP SQL, ideally with BigQuery, including performance and cost tuning.
• Production experience with Airflow and dbt, including reliability, data-quality monitoring, and alerting.
• Daily use of coding agents such as Claude Code to scaffold DAGs and dbt models, with rigorous verification of grain, joins, reconciliation, and full ownership of the output.
• Experience with unit and integration testing, code reviews, observability, and maintainable code that unfamiliar engineers can understand.
• Ability to understand business logic behind data, explain what metrics mean, and collaborate closely with analysts and data scientists.

Nice to have

• Experience supporting recommendation, search, or ML data workflows.
• Exposure to stream processing such as Flink or Kafka and understanding of batch-versus-streaming trade-offs.
• Experience building self-serve data tooling for analysts or other non-engineering users.
• Experience building personal agents or agent-based tooling for data-engineering work.

Culture & Benefits

• Hybrid working model with face-to-face collaboration in the Berlin campus two days per week.
• 27 days of holiday, plus an additional day in the second and third years of service.
• €1,000 educational budget, language courses, parental support, and Udemy Business access.
• Health checkups, meditation, gym access, life and accident insurance, and a corporate pension plan.
• Employee Share Purchase Plan, sabbatical bank, public-transport discount, and digital or food vouchers.
• Relocation information and support for moving to Berlin.

Hiring process

• Apply through the hirify.global careers process and prepare for the interview.