Lead Data Engineer (Ads)

Base salary: €130k, bonus and benefitsRemote from anywhere in Europe or UK The OpportunityIdentity 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 DoBuild 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. QualificationsProven 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 PreferredIdentity 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).