Hiring.Camp

Senior Manager-Data Engineer

Wppmedia

·

Today

Location
Gurgaon, India · Global Operations Center - India
Department
Technology & Data
Seniority
Senior
Experience
6+ years
Education
Bachelor
Source
Greenhouse

Description

About WPP Media

WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth. 

WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.

For more information, visit wppmedia.com.

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

  • Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
  • Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
  • Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

 

Some of the things we’d like you to do:

  • Implement and expand upon WPP’s Measure reporting platform to suit the needs of the client’s reporting and needs
  • Deploy data collectors in Adverity to gather data from media, agency system, and other sources
  • Develop and expand on existing data “recipes” and transformations in SQL via DBT run on Google Cloud Platform, borrowing and lending scripts from/to a central repository
  • Development and maintain data quality checks and procedures, helping stakeholders overcome data issues before they impact the quality of the reporting solution
  • Support the translation of user requirements and business needs into technical specifications
  • Be a proficient user of Google Cloud Platform and associated technologies, ensuring your work incorporates industry best practice
  • Monitor automated jobs, troubleshooting data issues as-and-when they arise
  • Support other members of the team responsible for “last mile” transformation and visualization of data within Google Data Studio reports and dashboards
  • Serve as a technical and professional leader for junior staff
  • Provide hands-on support to users of reporting solutions, helping the wider team triage and respond to user queries in a timely manner
  • Attending internal stakeholder meetings, presenting your solutions, and providing updates on your work.
  • Support the development strong working relationships with third-party data providers that we rely on for access to necessary data

 

A bit about yourself:

Required

  • Bachelor degree in Science or Engineering
  • 6+ years experience in data engineering, preferably handling advertising media or marketing data
  • Professional experience with Python, SQL, preferably deployed via DBT
  • Analytically minded, enabling you to understand and overcome technically complex challenges, and to tell compelling stories with data
  • Strong organizational skills and attention to detail, including the ability to manage multiple tasks in an autonomous way
  • Strong spoken and written communication skills, ensuring your thoughts and needs are heard and understood
  • An ability to demonstrate a passion for the digital marketing ecosystem, and an understanding of the role that data plays within it
  • Delivers best results when working in a team environment, and an ability to partner effectively with people of varying degrees of technical capability

Desirable

  • Previous experience working with data and technology
  • Experience with digital marketing platforms and the data they generate, in particular Google Marketing Platform, Facebook, Tiktok etc.  
  • An understanding of how data is tracked and exchanged in the process of digital advertising (e.g. role of ad servers and other third-party tech vendors)
  • Experience using or building reports with business intelligence software, ideally Microsoft PowerBI
  • Work experience within a marketing organization, preferably at a media agency or related company (e.g. publisher, ad tech, client marketing org)

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Please read our Privacy Notice for more information on how we process the information you provide. 

Skills

PythonSQLData Engineering

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