Company Description
As a Data Engineer (digital) you will act as a pivotal role in advancing the data maturity of the Digital department through owning and delivering the group data engineering roadmap. This role will generate a single digital data data lake with all data accessible for reporting from Power BI and available for analysis / data science via databricks.
Join us at Greene King the country's leading pub company and brewer, where our mission is to pour happiness into lives and become the pride of great British hospitality. We have something special, deeply rooted in our 220-year brewing and pub history, creating the business we are proudly known for today. Still today our 39,000 strong team are the guardians of what’s wholly British, the pub experience.
Additional Information
We’re all about rewarding our team’s hard work, that’s why…
You’ll receive a competitive salary, pension contribution as well as:
The chance to further your career across our well-known brands – as one of the industry's top apprenticeship providers, we can provide training and development at each level of your career.
Discount of 33% for you and 15% for your loved ones on all of our brands– so you enjoy your favourite food and drink at a discount.
Free employee assistance program– mental health, well-being, financial, and legal support because you matter!
Discount of 50% for you and 25% for your loved onesat our Greene King Inns and hotels. – so you can enjoy a weekend away without breaking the bank.
Refer a friend –who do you know who could be interested in a new role? When they are placed, you could earn £1,500 for referring them!
Wagestream– access your wage before payday for when life happens.
Retail discounts– Receive up to 30% off at Superdrug, exclusive discounts with three mobile along with many more…
Job Description
Your role as Data Engineer
Collaborate with the data architect(s) to deliver data solutions in line with overall strategy and principles. Collaborate with the digital analytics team to understand the business requirements and needs to ensure data engineer solutions deliver the optimal business return. Collaborate with the Business Intelligence and ETL teams to ensure alignment with data management and transformation logic while also avoiding duplication of effort / work. Own the data engineering roadmap for digital data ensuring delivery of demonstrable value to Greene King. Own the end-to-end data engineering lifecycle from data ingestion to data transformation to data serving for new data sources. Support and input to the development and optimisation of data engineering tools / processes / environments. Own the ongoing maintenance and optimisation of existing data pipelines. Own the documentation of all existing and new data pipelines and processes. Manage the testing of all deployed solutions to ensure all solutions are accurate and fault tolerant. Ensure adherence to all regulation so that data engineering solutions and resulting business usage is compliant. Act as a data steward to review and optimise the data quality across the digital landscape.
What you’ll bring…
Degree level qualification in a relevant subject e.g. mathematics, statistics, computer science, etc. Extensive professional experience as a Data Engineer in creating scalable data solutions. Significant experience with Azure data lake and Databricks. Significant knowledge of data engineering processes (ELT / ETL, batch, streaming etc). Expert in SQL and other coding languages. Experience with pipelining and engineering digital data e.g. website click data from Google Analytics. Experience with Google Cloud Platform and specifically Big Query. Experience with troubleshooting via logs and building informative logging into pipelines. Deep understanding of data as a product and its value to an organisation. Excellent written and verbal communication skills with the ability to effectively communicate complex and technical subject matter to non-specialists. Experience in a fast-paced multi-brand industry. Strong stakeholder management experience at various levels of an organisation.
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