Sr Data Engineer

Location: Dublin

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It takes powerful technology to connect our brands and partners with an audience of 1 billion. Nearly half of Verizon Media employees are building the code and platforms that help us achieve that. Whether you’re looking to write mobile app code, engineer the servers behind our massive ad tech stacks, or develop algorithms to help us process 4 trillion data points a day, what you do here will have a huge impact on our business—and the world. Want in? As Verizon’s media unit, our brands like Yahoo, TechCrunch and more help people stay informed and entertained, communicate and transact, while creating new ways for advertisers and partners to connect. With technologies like XR, AI, machine-learning, and 5G, we’re transforming media for tomorrow, too. We're creators and coders, dreamers and doers creating what's next in content, advertising and technology.

Data Engineer, Ad Platforms

Job Description

A Little About Us

Verizon Media brands comprise some of the premier destinations on the Internet - Yahoo, Techcrunch, AOL, and more. This means that we rely on massively scalable, widely distributed, highly performant systems. If you want to help solve complex problems for systems like these, we are looking for you.

Verizon Media's Business Analytics and Insights team works on one of the biggest online advertising and audience data sets in the world. We are responsible for providing fast, clean, and relevant data for Verizon Media’s advertising businesses as well as key measurements and insights about the users of Verizon Media. We are developing next generation technologies to enrich our advertiser and user experience through complex, scalable data platforms, with ever growing and interesting challenges.

The team is seeking a Data Engineer/Analyst to support Verizon Media Ad Platforms by building and maintaining data pipelines, reporting, and dashboards, as well as conducting ad hoc analyses to understand complex marketplace trends.

A Lot About You

  • Values : You have a strong work ethic and strong core values (honesty, integrity, objectivity)

  • Curiosity & Problem-Solving : You are always curious, you love data, and you love exploring new datasets to enrich your understanding

  • Quantitative Approach : You're able to focus on the numbers and take an objective view of a complex and dynamic business

  • Dealing with Ambiguity : Ability to take poorly defined problems and provide solutions that address the spirit of the question (without needing all the details)

  • Agility & Speed : Thrives in fast-paced environments and can iterate quickly.

  • Communication : You're good at explaining and illustrating complex ideas to both technical and non-technical audiences

  • Organization : Ability to juggle multiple projects, with a strong habit of communicating early and often

  • Self-Starter : You have a willingness to roll up your sleeves to get things done. You’re always thinking about ways to improve and not afraid of pursuing new ideas

  • Teamwork : You make those around you better and enjoy working collaboratively. You are always thinking of how your work can impact the broader organization


  • Understand the Business and Data : Support Business subject matter experts to discover insights into advertiser, publisher, product, user, and auction dynamics. Understand the underlying data systems and schemas that can inform these measurements.

  • Analysis & Dashboarding : Conduct ad hoc investigations and create ongoing dashboards and reports that provide analysis and commentary, explaining business trends and market drivers using intuitive visualizations (Looker, Tableau, R, Spreadsheets, etc)

  • Data Engineering : Develop data pipelines (ETL) from multiple data sources with design, performance, and end customer in mind (Pig, Hive, Oozie, Python, SQL, PLSQL, etc). Partner with engineering teams across data sources to address technical and functional requirements.

  • Investigation & Troubleshooting : Expert at “cracking” complex business and analytical problems. In particular, experience in working with large data sets, identifying and troubleshooting data discrepancies via automated scripts, developing data models/schemas, and working cross-functionally towards resolution.

  • Data Governance : Streamline data & tools footprint in alignment with Data Governance objectives.


  • BS/MS in quantitative field or equivalent experience

  • 5+ years of experience in analytics, data engineering, and dashboarding

  • Experience working with large and complex data sets

  • Experience with data visualization tools (e.g. Looker, Tableau, etc)

  • Strong database skills (e.g. MySQL, Oracle) and familiarity with spreadsheets (Excel, Google Sheets, Pivot Tables, Formulas)

  • Experience with programming languages such as Perl/Python/R/Java is preferred

  • Experience with the Hadoop ecosystem is preferred, but not required (Pig, Hive, Presto, Oozie)

  • Experience in the online advertising industry preferred, but not required

  • Demonstrated use of analytics, metrics, and benchmarking to drive decisions

Verizon Media is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Verizon Media is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form ( ) or call 408-336-1409. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.

Currently work for Verizon Media? Please apply on our internal career site.

*** Mention DataYoshi when applying ***

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