Data Platform Engineer (Streaming TV Advertising)

Location: Paris, France; hybrid work with the team in the office three days per week. Relocation support to Paris is available for selected candidates.

Salary: €99,000–€171,000 per year, plus equity and variable pay.

Company

hirify.global is an audience-first streaming TV advertising platform that uses targeting, AI-powered recommendations, real-time optimization, and incrementality measurement to connect TV advertising with business outcomes.

What you will do

• Design and operate production-scale real-time event processing on Kafka.
• Build batch orchestration pipelines with Dagster and own the serving path into ClickHouse Cloud.
• Develop orchestration patterns, testing frameworks, CI/CD, data contracts, and reusable infrastructure.
• Establish alerting, dashboards, SLOs, runbooks, and incident-response practices for reliable platform operations.
• Profile and optimize systems across Kafka, Spark, DuckDB, and ClickHouse, treating compute and storage costs as core engineering metrics.
• Partner with data, ML, product, and analytics engineers to define schemas, semantics, SLAs, and delivery priorities.

Requirements

• 5+ years of experience building and operating distributed, data-intensive production systems.
• Strong programming skills in Python and/or Rust, with disciplined testing and code review practices.
• Production experience with several of Kafka, Spark, Iceberg or object storage, and ClickHouse or a similar column-store analytics system.
• Experience owning services from code through production, including AWS, Kubernetes, and infrastructure-as-code.
• Demonstrated ability to improve system performance or reduce costs and explain the impact.
• Strong cross-functional communication and judgment when prioritizing conflicting stakeholder requests.

Nice to have

• Experience in programmatic advertising or streaming TV advertising.

Culture & Benefits

• Values focused on impact, ambition, urgency, ownership, and measurable outcomes.
• Equity through an Employee Stock Ownership Plan and variable pay based on business goals.
• Full health insurance coverage through Alan.
• Meal vouchers through Swile.
• Annual team offsite and quarterly in-person Engineering and Product syncs.

Hiring process

• Recruiter screen, followed by a manager interview.
• Technical interview based on a practical problem and a calibration interview with a senior leader.
• Offer and two reference checks.