Data Engineer - (Home Office UK)

at  NIELSENIQ

Company Description
At CGA by NIQ, we deliver the most complete and clear understanding of consumer buying behavior that reveals new pathways to growth for the largest food and drink businesses and most iconic brands. With offices in the United Kingdom and the USA it is our vision to be the world’s leading business intelligence and strategic consultancy provider for the out-of-home leisure market.
CGA was acquired by NIQ, the world’s leading consumer intelligence provider for off-premise data and insights, bringing together on- and off-trade services that offer clients an unparalleled opportunity to grow brand and market share. NIQ operates in more than one hundred countries, delivering alcoholic beverage measurement and consumer insights that power growth.
Job Description
As a business we are now moving rapidly into the realm of data engineering and Databricks. We need an additional data engineer to work within our solutions team, to help us grow and increase our expertise. The role would encompass both the creation of technical solutions, advising on methodologies and helping upskill the wider department in the better utilization of new technologies.

Responsibilities

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment.
• Design, development, and maintenance of Databricks solutions.
• Helping upskill users into Databricks environments.
• Manage workstreams to create solutions that extract, transform, cleanse, and load data (ETL/ELT).
• Help administrate Databricks environments, ensuring policies and conventions are adhered to.
• Stay up to date on the latest data engineering trends and technologies.

Qualifications

THIS ROLE IS UK BASED ONLY

• Generous Pension Scheme
• Private Medical Insurance
• Life Assurance
• Gym Membership Discounts
• Cycling Solutions Scheme
• Holiday Entitlement + additional Holiday Purchase Options
• Local Discounts (Cinema tickets, retailers etc)

Responsibilities

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment.
• Design, development, and maintenance of Databricks solutions.
• Helping upskill users into Databricks environments.
• Manage workstreams to create solutions that extract, transform, cleanse, and load data (ETL/ELT).
• Help administrate Databricks environments, ensuring policies and conventions are adhered to.
• Stay up to date on the latest data engineering trends and technologies