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Verve Group

Data Engineering Manager

Verve Group is hiring a Data Engineering Manager in Bengaluru, India. Level rates it ; you can apply on Verve Group.

Level's read on this job

  • Level rates this data engineer role Little AI ●○○○: aI is not part of the work.
  • The posting mentions Vertex AI, Flink and Kubernetes among its tools and skills.
  • Level classes it as a lead role.
  • Verve Group has 33 other open roles on Level.

AI in this role

Manage a data engineering pod, leading data platform re-architecture, streaming pipelines, and analytics infrastructure.

Vertex AIFlinkKubernetesArgocdPythonJava
data-engineeringstreamingapache-flinkdata-lakehouse

Who We Are

Verve 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.

What You Will Do

  • 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.

What You Will Bring

  • 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.

What We Offer

  • Just a few of the benefits waiting for you at Verve:

    • Keep healthy through our Apollo Health Check-ups, and stay covered with our Medical Insurance for you and your family

    • Pick what matters most to you in our INR 4100/month Personalized Benefits Platform: Travel, entertainment, food, fitness, and healthcare

    • Have us cover your office lunches 3 times a week through Zomato, and enjoy office sweets, snacks, and beverages

    • Boost your professional knowledge with our annual training budget & internal webinars, and level up your language skills through our German/English classes

    • Recharge with 19 paid vacation days + 3 Wellness days throughout the year, in addition to the public holidays

    • Strengthen team connections while exploring new cultures through our monthly Work&Travel raffle, offering a chance to work from one of our global offices (after 2 years of employment)

    • … and even more reasons to join us!

Verve 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.

If 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.
If 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 rights.

How we rate this

Data Engineering Manager at Verve Group rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringStreamingApache FlinkData LakehouseVertex AIFlinkKubernetesArgocd

Also common in data engineer jobs at this level

Pay

Typical data engineer job
$150k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

  1. Tell me about a project where data engineering was part of your work. What did you do?
  2. Tell me about a project where streaming was part of your work. What did you do?
  3. Tell me about a project where apache flink was part of your work. What did you do?
  4. Tell me about a project where data lakehouse was part of your work. What did you do?
  5. Walk me through how you've used Vertex AI in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Engineering, Streaming, Apache Flink, Data Lakehouse, and Vertex AI. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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