Senior FinOps Data Engineer

WPP IT provides IT services for WPP, the world’s largest communications services group. As a creative transformation company, WPP is helping its clients transform the future through extraordinary work. WPP IT is an integral part of that journey and we are proud to provide technology for some of the world’s most creative brands.

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Why we're hiring:

At WPP, technology is at the heart of everything we do, and it is WPP IT’s mission to enable everyone to collaborate, create and thrive. WPP IT is undergoing a significant transformation to modernise ways of working, shift to cloud and micro-service-based architectures, drive automation, digitise colleague and client experiences and deliver insight from WPP’s petabytes of data. 

We are on a journey in establishing a FinOps capability and building a Central FinOps platform to recharge, visualise and optimise Cloud and SaaS spend at scale. The platform will empower WPP agencies to self-service manage their cloud and SaaS estates from a cost and optimisation perspectives. 

The ideal candidate will have extensive experience in Data modelling on SQL based and Big data system, developing data pipelines, managing change data captures between disparate data systems and developing complex queries and scripts for translating raw data into informative visuals on BI tools. 

You’ll play a critical role in designing & developing our Central FinOps maturity, automating processes whilst developing a platform to enable cost recharging and self-service enablement capabilities to the business.

What you'll be doing:

• Create and contribute to designing data solutions using industry best practices around ETL, data-pipeline, data architecture, data governance and data quality. 
• Ensure that solutions demonstrate high levels of performance, security, granular access control, scalability, maintainability, reusability, and reliability 
• Manage CI/CD Pipelines for your data pipelines 
• Translate data into information to build compelling visualisation to drive change and ‘culture of cost’ 

What you'll need:

• 5+ years Data engineering working experience with a range of Data & Analytics technologies such as AWS data Stack (RDS, S3, Glue, Lambda), Google BigQuery, Snowflake, PowerBI, Python and other ETL tools 
• Strong experience with Data architecture, Data Modelling, Data Quality and Data security 
• Experience with designing low-latency and high-throughput data architecture ecosystem 
• Experience in developing complex queries and scripts for translating raw data into informative visuals 
• Exposure to data science and ML is a plus 

Who you are:

You’re open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You’re optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with confidence: to try the new and to seek the unexpected.

You’re extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we deliver extraordinary every day.

What we'll give you:

Passionate, driven people – We champion a culture of people that do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and deliver projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?