Data Engineer

JD Sports Fashion; Bury; On-site; GBP 30,000 - 45,000; Full time

Job summary

A leading omni-channel retailer is looking for a Data Analyst in Bury, England, to manage and analyze large data sets within a cloud-based environment. The role demands expertise in SQL and Python, with 1-2 years of experience in cloud data solutions. Benefits include staff discounts and opportunities for personal development.

Benefits

Staff discount on JD Group products

Personal development opportunities

Qualifications

• Excellent level of experience in SQL and Python.
• 1-2 years of cloud data solution experience in GCP/Azure.
• Strong attention to detail and communication skills.

Responsibilities

• Assist in automation and maintenance of data pipelines.
• Analyze large data sets using Python and SQL.
• Set up and manage new data pipelines.

Skills

SQL

Python

Cloud data solutions

Problem solving skills

Stakeholder management

Communication skills

Tools

GCP

Azure

Pyspark

Job description

Established in 1981 with a single store in the Northwest of England, the JD Group is a leading omni-channel retailer of Sports Fashion, Outdoors and Gyms with our colleagues working in stores across several retail fascias in many markets around the world. JD Sports Fashion Plc was listed on the London Stock Exchange in 1996 and has been a FTSE100 publicly quoted company since 2019 and continues to grow in the UK and internationally. We want to be the leading global omnichannel retailer in the sports and outdoor industry. To be a part of this successful company and help us to achieve this you will have the desire to ingrain our strategic goals of being a people-led, innovative and customer-focused organisation which provides operational excellence whilst identifying new areas of growth as part of our day to day objectives.

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. The role will allow you to start looking at whether you would like to become a specialist in a specific field such as infrastructure, curation or ML/AI in order to further progress you career.

Responsibilities

Assisting in 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.

• 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

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

Competencies and behaviours

• Deciding and Initiating Action
• Working with People
• Relating and Networking
• Expertise and Technology
• Learning and Researching
• Planning and Organising
• Achieving Personal Work Goals and Objectives

Skills and Experience

• An excellent level of experience in tools such as SQL / Python
• Ability to decide on the overall concept and vision
• Creating road maps
• 1-2 years of cloud data solution experience in GCP / Azure
• Experience of Pyspark coding or equivalent
• Excellent problem solving skills
• Strong attention to detail
• Strong stakeholder management
• Strong communication skills

Benefits

We know our colleagues work tirelessly to make JD Sports the success it is today and in turn, we offer them some amazing benefits including staff Discount On JD Group and other brands within the organisation and personal development opportunities to learn and develop at work.

Thank you for your time #JD