Lead Data Engineer (Paid Media)

Location: Hybrid in Nis, Serbia

Company

hirify.global operates a paid media insights platform that integrates advertising, affiliate, operator revenue, and CRM data to support campaign and budget decisions.

What you will do

• Own freshness, cost, reliability, alerting, and incident response for every paid media data job.
• Build and maintain the end-to-end user-level model joining ad platform spend and delivery with affiliate, operator revenue, and CRM data.
• Ingest paid media sources, manage schema changes, and develop domain models from staging through analyst-facing marts and the semantic layer.
• Build reverse ETL flows that deliver conversion data back to advertising platforms for bidding optimization.
• Take over paid media jobs currently operated by the central platform team.
• Shape the roadmap with the Senior Head of Paid Media Insights, analysts, and business teams, and represent paid media in platform and machine learning discussions.

Requirements

• Production data pipeline experience with SQL and Python.
• Hands-on experience with dbt, Dagster, cloud data warehousing, and data engineering practices focused on performance, cost, and reliability at scale.
• Ability to own a data domain end to end, including operational responsibility for monitoring, alerting, and incidents.
• Ability to simplify complex systems involving attribution windows, late conversions, cross-platform identity, and changing source APIs.
• Technical leadership experience: setting engineering standards, reviewing code, unblocking engineers, mentoring, and developing other data engineers.
• Ability to work effectively with a central platform team, balancing standards with domain requirements.
• Ability to work closely with marketers and analysts and communicate data concepts to non-technical stakeholders.
• Experience using AI in engineering and understanding the need for documented, standardized, and semantically clear data domains.

Nice to have

• Paid media or attribution experience.
• Production pipeline experience with Snowflake, BigQuery, or Redshift.
• Experience with MotherDuck, DuckDB, DLT, AWS, reverse ETL, or semantic layer tooling.

Culture & Benefits

• Hybrid work in a modern city-center office with flexible working hours.
• Private health insurance and 100% paid sick leave.
• Canteen with free meals and drinks.
• Additional vacation days after two years with the company.
• Up-to-date equipment and office entertainment facilities.
• Expected start date is as soon as possible.

Hiring process

• Applications are accepted until 28 November.
• Submit a CV and cover letter in PDF; only applications submitted in English will be considered.
• Applications require expected salary and availability-to-start information.