Staff Data Engineer

Job Title

Staff Data Engineer

Location

Asda House

Employment Type

Full time

Contract Type

Permanent

Hours Per Week

37.5

Salary

Competitive salary plus benefits

Category

Software Engineering

Closing Date

26 September 2024

 

Are you passionate about creating robust data products to drive business value? Do you thrive in a fast-paced, collaborative environment where you can apply your technical expertise to complex data challenges? If so, read on…

LS Eleven is a new Asda division dedicated to the Asda Rewards Digital Loyalty Program, Asda Media Partnerships, Asda Money & Mobile, and Asda Group customer decision science. We are looking for a talented engineer to play a leading role in developing the data products which sit at the heart of Asda’s commercial and data strategies. Leveraging your hands-on coding skills as well as your leadership skills, you’ll be an expert individual contributor while managing and developing a small squad of BI engineers. Most importantly, working closely with the Data Product Lead, you will shape the technical strategy for engineering in LS Eleven.

If flexible working is important to you, then look no further! At Asda, we are proud of our culture and our commitment to flexible working. This role can be based in Leeds or London, with a mix of home and office working.

As the LS Eleven Staff Data Engineer, you will:

• Develop and implement the technical strategy and vision across the engineering squads and beyond (including how to operationalise products created by our data science colleagues)
• Design the data architecture for the data products, and collaborate with platform colleagues to design related solution architecture for activation use cases (e.g. integrating products with systems such as the Rewards app CMS)
• Collaborate with data science colleagues to turn ML into scaled, customer-impacting, solutions
• Ensure consistent standards, patterns, and technical processes across the development squads
• Create tools and processes for financial and performance optimisation
• Act as Subject Matter Expert for Databricks and Azure, staying on top of new features and trends, implementing them into the data products, and coaching the development teams
• Line manage a small team of BI Engineers, ensuring consistent quality
• Mentor and develop the lead engineers and data engineers
• Find and implement technical ways to increase simplicity and efficiency, including by creating common data models
• Develop strong relationships with upstream technology teams and downstream data science and business consumers, ensuring that our data products are developed according to the needs of the business

About You

We want all colleagues to be able to bring their best and true selves to work, every day. Simply put, we want our colleagues to be Proud to be Asda and proud to be themselves.

Essential

• Educated to degree level, ideally in a relevant STEM discipline.
• Passion for all corners of data engineering: whether it’s designing a data model, creating a CI/CD pipeline, optimising code, serving a model, or connecting our products to customer-impacting systems, you’re interested in getting the job done.
• Desire to be a hands-on contributor, a people manager, and a strategic thinker.
• You know what you don’t know, and you’re able to become an expert in something quickly.
• Experience leading or mentoring a high performing team.
• Significant experience as a data engineer, building productionised big data products in the cloud.
• Excellent PySpark, Databricks, and SQL skills.
• Ability to influence cross-functional, geographically distributed teams.
• Experience working in an agile product development environment.
• Excellent problem-solving, communication, and interpersonal skills.
• Strategic and analytical thinker .
• Excellent initiative and ability to flourish in an open-ended role.

Desirable

• Experience with ML-related data products such as feature stores, and experience operationalising ML.
• Significant experience with data modeling.
• Extensive Microsoft Azure experience.
• Experience with Databricks Asset Bundles.
• Experience in, and understanding of, retail, data-driven personalisation, retail media, and loyalty programs.
• Strong understanding of data science concepts.
• Experience with infrastructure as code.
• Experience with AI tooling such as Databricks Genie Rooms.

Work Where it Works

Our hybrid way of working gives you the choice to work where it works.  This enables you to chose where you’ll be the most effective.  It offers a mix of working from home and in an office environment that works best for you and your team. 

You will also get an excellent benefits package including; -

•    Discretionary company bonus

•    £5,700 company car or car allowance
•    Company pension up to 7% matched
•    10% colleague discount, free parking and many additional rewards.

We want all colleagues to be able to bring their best and true selves to work, every day. Simply put, we want our colleagues to be Proud to be Asda and proud to be themselves