• Job Title – Senior Data Engineer - Cloud
• Location – BL9 8RR
• Working rota – Monday - Friday
• Working hours – 40 Hours
• Working model – 4 days in the office, 1 day working from home

Role overview:

Working with a wide array of tools, you will work through the full, streaming., enrichment & curation of data into a cloud-based data environment, verifying data, and making sure that links to other key data sets are obtained to allow for simple, effective data analysis for our insight team and data scientists, you will also be responsible for the development of data engineers and associates..

The role will also see you advancing your skill set towards artificial intelligence and machine learning, with additional, advanced courses relating to machine learning. Artificial intelligence and ML Ops..

Responsibilities:

Responsible for the automation & maintenance of pipelines within a cloud-based environment, the candidate would also be involved in the sourcing of data using a range of different methods, whilst carrying out verification that the data is acceptable for ingestion.

The role will Also involve obtaining experience of the underlying fundamentals of the overall data infrastructure and aiding in the development of new methodologies for expanding our clous solutions offering.

• Analysis of large data sets using tools such as Python & SQL
• Setting up new pipelines for the full stream/enrichment/curation process
• Upkeep of source code locations
• Investigating and utilising ML & AI to improve the cloud offering
• Development of junior staff members
• Review of code

Role objectives and KPI’s:

• Analysis of large data sets using tools such as Python & SQL
• Creation stream/enrichment/curation process utilising a wide variety of data sources
• Upkeep of source code locations/Git Hub Repositories
• Set up of tables/views/procedures
• Data aggregation & manipulation
• Building of large scale analytical data sets
• Investigation of new/alternative technology
• Improvement of our ML/AI offering

Skills and Experience:

• An excellent level of experience in tools such as  SQL/Python
• 2-4 years of cloud data solution experience in either AWS/GCP or Azure
• 1 year of experience in AI/ML
• Experience of Pyspark coding or equivalent
• Excellent problem solving skills
• Strong attention to detail
• Strong stakeholder management
• Strong communication skills

The Company:

The JD Group is a leading omnichannel retailer of Sports Fashion, Street & Premium Fashion, Outdoors and Gyms with over 90,000 colleagues over 4,500 stores across several retail fascia's in over 36 countries around the world.

We are an equal opportunities employer who embraces and values differences. We recognise the importance of an inclusive workplace culture in which everyone can thrive irrespective of their background or identity.

To be a part of this successful and continuously growing company, you will have the desire to ingrain our strategic goals of being a people first, a digital leader and customer focused organisation which provides operational excellence and is continuous with identifying new areas of growth into our day-to-day.

We know our employees work tirelessly to make JD Sports the success it is today and in turn, we offer them some amazing benefits:

• Incremental Holiday Allowance
• Staff Discount on qualifying purchases across Group retail stores and online
• Exclusive Colleague Bike Discount scheme
• Discounted Gym membership
• Personal development opportunities to learn and develop at work
• Access to Apprenticeships and accredited qualifications

Interested?

If you are interested in this position, then press the Apply Now button.

Due to the high volumes of applications our opportunities attract, it takes time to review them all. If you don't hear back within two weeks of your application, please consider your application to have been unsuccessful on this occasion

Applications that meet the skills criteria will be contacted for a 1st stage meeting with the talent team. Shortlisted candidates will then be invited to interview with the hiring manager.

Thank you again for your time.

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