You will provide the organizational leadership, team-building vision, and operational drive to establish and expand our new European engineering hub in Dublin. In line with Verve’s site-centric location strategy, we build teams from the ground up by placing elite technical leaders on the floor first and empowering them to scale out high-performance engineering blocks.
You will take full people-management and strategic delivery ownership over our global Mobile SDK chapter—which includes established engineering pods across Hamburg and Bangalore, while aggressively hiring to build and expand your local footprint in Dublin.
Responsibilities
- Provide full supervision and support for the local data engineering pod, spanning both data-platform and analytics/reporting work streams.
- Manage team capacity, lead hiring to backfill and grow the pod, and define team charters that support a fast-evolving data platform roadmap.
- Foster a high-performance culture across a distributed organization (Bangalore and EU), onboarding recent hires and establishing strong operational discipline (on-call/IRM, runbooks, incident response).
- Plan and execute multi-quarter initiatives with many interdependencies (e.g., the data lakehouse re-architecture (Apache Flink on GKE), the dedicated CTV late-impression pipeline, and CI/CD automation (ArgoCD)) ensuring alignment with architectural standards.
- Refine the team's engineering processes, methodologies, and technical standards: code quality, infrastructure-as-code, deployment automation, observability, and cost optimization.
- Partner closely with Product Management, Backend Engineering, Data Science, and Analytics to align the platform roadmap with business objectives.
- Stay active in technical implementation (estimated 50-70% hands-on): designing pipelines, delivering new product features, reviewing architecture and code, addressing tech debts, and troubleshooting production data issues.
- Undertake production responsibilities including setting up monitoring and alerts, oncall support, troubleshooting, incident management and communication, and postmortem.
- Independently design maintainable and scalable data systems for complex, high-throughput streaming and batch pipelines. Be aware and manage the infrastructure cost of data systems.
Required Skills
- Minimum of 8 years of experience in Data Engineering, with a focus on leadership in technical settings.
- AdTech industry expertise (specifically programmatic auctions and high-volume bid/impression/RTB data) is strongly preferred.
- Expert knowledge of Python and SQL.
- Deep, hands-on experience with distributed data processing and streaming: Apache Spark / Spark Streaming and Apache Flink.
- Strong experience operating high-throughput event streaming and messaging with Apache Kafka.
- Proficiency with the Google Cloud data stack (BigQuery, GKE, GCS, Dataflow/Vertex AI) and infrastructure-as-code (Terraform).
- Experience building and operating CI/CD for data pipelines (e.g., ArgoCD, containerized/Docker deployments).
- Working knowledge of lakehouse and open table formats (e.g., Iceberg/Delta) and the trade-offs between real-time and batch architectures (latency, cost, governance).
- Familiarity with analytics/OLAP and BI tooling (e.g., Druid, Looker, Rill/Turnilo) and dimensional data modeling.
Dublin, Ireland Remote (City) Full-time
Verve is hiring a Data Engineering Manager
About company
Verve is a global omnichannel advertising platform powered by premium direct supply. The company illuminates, connects, and activates high-fidelity signals to drive performance for brands and publishers across every screen and media environment.
By leveraging ID-less signals and privacy-first technologies, Verve enables advertisers to capture intent in real time and empowers publishers to enrich and monetize audiences sustainably. The platform supports mobile app monetization, cross-channel inventory, content amplification, and performance marketing in a rapidly evolving digital landscape.