* 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, and curation of data into a cloud-based data environment, verifying data, and ensuring 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 and 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, while 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 cloud solutions offering.
* Analysis of large data sets using tools such as Python and SQL
* Setting up new pipelines for the full stream/enrichment/curation process
* Upkeep of source code locations
* Investigating and utilizing ML and AI to improve the cloud offering
* Development of junior staff members
* Review of code
Role Objectives and KPIs:
* Analysis of large data sets using tools such as Python and SQL
* Creation of stream/enrichment/curation process utilizing a wide variety of data sources
* Upkeep of source code locations/GitHub repositories
* Set up of tables/views/procedures
* Data aggregation and 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 and 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 across 4,500 stores in over 36 countries around the world.
We are an equal opportunities employer who embraces and values differences. We recognize 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 people-first, a digital leader, and a customer-focused organization that provides operational excellence and continuously identifies new areas of growth in our day-to-day operations.
Benefits:
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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