{"id":725847,"url":"https://alion.io/job/verve-data-engineering-manager","title":"Data Engineering Manager","company":{"id":685031,"name":"Verve","domain":"verve.com","url":"https://alion.io/company/verve-6","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":87,"open_postings":30,"ghost_share":0.133,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":91,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Dublin, Ireland"],"countries":["IE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":79000,"max_usd":169000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":9},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"ArgoCD","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Druid","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google GKE","optional":false},{"name":"Incident Management","optional":false},{"name":"Looker","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Vertex AI","optional":false},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-07-01T07:57:11Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-11-06T20:55:37Z","board_verified":true,"closed_at":null,"days_open":128,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":127},"description":"Who We Are\nVerve has created a more efficient and privacy-focused way to buy and monetize advertising. Verve is an ecosystem of demand and supply technologies fusing data, media, and technology together to deliver results and growth to both advertisers and publishers-no matter the screen or location, no matter who, what, or where a customer is. With offices across the globe and with an eye on servicing forward-thinking advertising customers, Verve’s solutions are trusted by more than 90 of the United States’ top 100 advertisers, 4,000 publishers globally, and the world’s top demand-side platforms. Learn more at verve.com.\n\nData Engineering Manager (Dublin)\nWho We Are\nVerve has created a more efficient and privacy-focused way to buy and monetize advertising. Verve is an ecosystem of demand and supply technologies fusing data, media, and technology together to deliver results and growth to both advertisers and publishers-no matter the screen or location, no matter who, what, or where a customer is. With 30 offices across the globe and with an eye on servicing forward-thinking advertising customers, Verve’s solutions are trusted by more than 90 of the United States’ top 100 advertisers, 4,000 publishers globally, and the world’s top demand-side platforms. Learn more at verve.com.\nYou 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.\nIn this role, 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.\nResponsibilities\nProvide full supervision and support for the local data engineering pod, spanning both data-platform and analytics/reporting work streams.\nManage team capacity, lead hiring to backfill and grow the pod, and define team charters that support a fast-evolving data platform roadmap.\nFoster 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).\nPlan 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.\nRefine the team's engineering processes, methodologies, and technical standards: code quality, infrastructure-as-code, deployment automation, observability, and cost optimization.\nPartner closely with Product Management, Backend Engineering, Data Science, and Analytics to align the platform roadmap with business objectives.\nStay 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.\nUndertake production responsibilities including setting up monitoring and alerts, oncall support, troubleshooting, incident management and communication, and postmortem.\nIndependently design maintainable and scalable data systems for complex, high-throughput streaming and batch pipelines. Be aware and manage the infrastructure cost of data systems.\nRequired Skills\nMinimum of 8 years of experience in Data Engineering, with a focus on leadership in technical settings.\nAdTech industry expertise (specifically programmatic auctions and high-volume bid/impression/RTB data) is strongly preferred.\nExpert knowledge of Python and SQL.\nDeep, hands-on experience with distributed data processing and streaming: Apache Spark / Spark Streaming and Apache Flink.\nStrong experience operating high-throughput event streaming and messaging with Apache Kafka.\nProficiency with the Google Cloud data stack (BigQuery, GKE, GCS, Dataflow/Vertex AI) and infrastructure-as-code (Terraform).\nExperience building and operating CI/CD for data pipelines (e.g., ArgoCD, containerized/Docker deployments).\nWorking knowledge of lakehouse and open table formats (e.g., Iceberg/Delta) and the trade-offs between real-time and batch architectures (latency, cost, governance).\nFamiliarity with analytics/OLAP and BI tooling (e.g., Druid, Looker, Rill/Turnilo) and dimensional data modeling.\nVerve provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. \nIf you are a California resident subject to the California Consumer Privacy Act, click here to understand how Verve processes your personal information and how you can exercise your rights.\nIf you are located in the EU or UK visit our privacy policy to understand how Verve processes your personal information and how you can exercise your 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