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- Tasks: Engineer data solutions and manage junior team members in a cloud-based environment.
- Company: Join JD Sports Fashion, a leading global omni-channel retailer.
- Benefits: Enjoy staff discounts, personal development opportunities, and a supportive work culture.
- Why this job: Make an impact in the sports fashion industry while working with cutting-edge technology.
- Qualifications: Experience with Google Cloud Platform, Python, and team management skills required.
- Other info: Dynamic role with excellent career growth potential in a thriving company.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Senior Data Integration Developer (Maternity Cover) role at JD Sports Fashion. 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.
Data Integration team - Senior Data Integration Developer - 12-month FTC
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 involve you both engineering data solutions and managing more junior team members working on wider projects.
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 KPIs
- 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
- Managing team members and supporting their development
Competencies and Behaviours
- Deciding and Initiating Action
- Working with People
- Relating and Networking
- Applying Expertise and Technology
- Learning and Researching
- Planning and Organising
- Achieving Personal Work Goals and Objectives
Skills and Experience
- Extensive hands-on experience with Google Cloud Platform (GCP), including cloud storage, BigQuery and related data services.
- Proven experience using Cloud Run and Python to design, build and automate data workflows with GCP.
- Experience managing a wider team of Data Integration Developers / Data Engineers and ensuring they deliver against plans.
- Ability to decide on the overall concept and vision; Creating road maps.
- Experience of Pyspark coding or equivalent.
- Excellent problem solving skills.
- Strong attention to detail.
- Strong stakeholder management.
- Strong communication skills.
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.
Senior Data Integration Developer (Maternity Cover) in Bury employer: JD Sports Fashion
Contact Detail:
JD Sports Fashion Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Integration Developer (Maternity Cover) in Bury
✨Tip Number 1
Network like a pro! Reach out to current or former employees at JD Sports on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your Python and SQL skills. Be ready to discuss how you've used these tools in past projects, especially in data integration. We want to see your expertise shine!
✨Tip Number 3
Show off your problem-solving skills! Think of examples where you've tackled complex data challenges. JD Sports values innovation, so highlight how you’ve contributed to operational excellence in your previous roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team at JD Sports.
We think you need these skills to ace Senior Data Integration Developer (Maternity Cover) in Bury
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Integration Developer role. Highlight your experience with Google Cloud Platform, Python, and any relevant data integration projects. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data integration and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Team Management Skills: Since this role involves managing junior team members, be sure to mention any leadership experience you have. We value collaboration and want to know how you can help others grow while achieving our goals.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at JD Sports!
How to prepare for a job interview at JD Sports Fashion
✨Know Your Data Tools
Make sure you brush up on your knowledge of Google Cloud Platform, Python, and SQL. Be ready to discuss how you've used these tools in past projects, especially in automating data workflows or managing large datasets.
✨Showcase Your Leadership Skills
Since this role involves managing junior team members, be prepared to share examples of how you've successfully led a team in the past. Highlight your approach to mentoring and supporting others in their development.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Think of specific challenges you've faced in data integration and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Understand the Company Culture
Familiarise yourself with JD Sports' values and goals. Be ready to explain how your personal work ethic aligns with their focus on being people-led, innovative, and customer-focused. This will show that you're not just a fit for the role, but for the company as a whole.
