Job description

Base salary: €130k, bonus and benefits

Remote from anywhere in Europe or UK

The Opportunity

Identity is central to modern AdTech: advertisers want cross-surface reach, user-level measurement, and lower-funnel attribution. Direct onboarding currently runs on a partner's identity spine, with a move planned to a new, multi-source in-house graph. DMP feeds are proven and now need to scale as the company enters in-app inventory.

You'll own the graph — a standardized ingestion path that makes each new feed cheaper to stand up than the last — plus the audience state and reporting behind self-serve discovery, while setting the technical bar for the team.

What You'll Do

Build a new identity graph: identifier sync, translation, clustering (with Data Science), opt-out handling.
Standardize partner/client onboarding across web, CTV and mobile identifiers, including cleanroom onboarding.
Ready the identity audience layer for self-serve creation, activation, state and reporting.
Own observability and alerting: consolidate signals, set freshness/quality standards, enable AI-assisted triage, write runbooks.
Lead and grow the team's data engineers — standards, code review, mentoring, ADRs.

Qualifications

Proven ownership of large-scale, interdependent data systems, including one built from scratch; comfortable turning ambiguity into a roadmap with Product/Partnerships teams.
Engineering leadership experience — setting direction, reviewing work, developing people — while staying hands-on.
Mastery of Python, Airflow, Spark and SQL (Snowflake), with a focus on cost/performance and testability.
Strong with AWS, Kubernetes, infra log diagnostics, and third-party API ingestion.
Fluent with AI tooling and codebase legibility for it.

Strongly Preferred

Identity resolution/graph work in AdTech (matching, device/household graphs).
Privacy/consent expertise: GDPR, CCPA, opt-outs, deletion.
Data cleanroom experience.
CI/CD (GitHub Actions/ArgoCD); monitoring (VictoriaMetrics/Prometheus/Grafana).

Nice to Have:

Iceberg, streaming (Kafka/Redpanda), low-latency stores (Aerospike), OLAP (Clickhouse).