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Data Integration Developer

jdsports · 30+ days ago
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We are looking for a Data integrator (DI) developer who will contribute to generating insights from our data that comes from all areas of our business, from retail, central leadership, merchandising and logistics.

This role will suit a developer who has a passion for data, has a good understanding of modern data platforms and has experience in creating data pipelines. Technical skills across the data landscape are desirable but an appetite to pick up new technologies to support JD’s drive to make the best decisions with its data is key.

You will be working in a multidisciplinary team, alongside other DI developers, analysts and subject matter experts to develop data solutions that deliver value to our stakeholders.

·       Job Title – DI Developer

·       Location – BL9 8RR 

·       Working rota – Monday-Friday

·       Working hours – 40

What You'll Be Doing:

 

  • You will be expected to be involved in all aspects of the data analytics pipeline, from exploration of the data, modelling of data into analytical products and building the pipelines and ELT/ETL mappings that underpin our data platform.
  • As a DI developer, you will have strong technical knowledge of data integration methodologies, and excellent SQL and data manipulation techniques. You will be technically confident and be able to engage with technical stakeholders and business subject matter experts.
  • Support the Central Data function by managing and developing initiatives to improve and build upon the existing data analytics platform
  • Work with analysts, data engineers, business stakeholders and leadership to identify analytical needs and requirement

 

What We're Looking For:

  • Experience of working within a data analytics team (Ideally 1+ years)
  • Strong experience of one or more ELT/ETL tools (Matillion, Talend, .dbt, Glue)
  • Advanced working knowledge of SQL and experience with multiple databases
  • Familiarity with event streaming technologies (e.g. Kafka, Pub/Sub)
  • Hands on experience of data analytics within a retail organisation
  • 2 years experience with Matillion
  • Experience with either GCP, Azure or Oracle would be advantageous 
  •  Python (or similar languages) for data processing and analysis

The Company:

The JD Group is a leading omnichannel retailer of Sports Fashion, Street & Premium Fashion, Outdoors and Gyms with over 60,000 colleagues over 3,400 stores across several retail fascia's in over 30 markets 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.

#LI-JR11

Last updated on Aug 21, 2024

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