* 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 ensuring that links to other key data sets are obtained for 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.
* Involved in the sourcing of data using a range of different methods, while verifying that the data is acceptable for ingestion.
* Obtain experience of the underlying fundamentals of the overall data infrastructure and aid in the development of new methodologies for expanding our cloud 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 utilizing 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 of stream/enrichment/curation process utilizing a wide variety of data sources.
* Upkeep of source code locations/Git Hub Repositories.
* Set up of tables/views/procedures.
* 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.
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 worldwide.
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 a people-first, digital leader, and customer-focused organization which provides operational excellence and continuously identifies new areas of growth.
We know our employees work tirelessly to make JD Sports the success it is today and in turn, we offer them some amazing benefits:
* Staff Discount on qualifying purchases across Group retail stores and online.
* 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.
#J-18808-Ljbffr