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- Tasks: Engineer data solutions and manage junior team members in a cloud-based environment.
- Company: Join JD Sports, a leading global omni-channel retailer with a vibrant culture.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make an impact in the sports and outdoor industry while working with cutting-edge technology.
- Qualifications: Experience with Google Cloud Platform, Python, and team management skills.
- Other info: Dynamic role with excellent career progression in a fast-growing company.
The predicted salary is between 60000 - 75000 £ per year.
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 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.
- 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.
- 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.
- Pyspark coding or equivalent.
- Excellent problem solving skills.
- Strong attention to detail.
- Strong stakeholder management.
- Strong communication skills.
Senior Data Integration Developer (Maternity Cover) in Bury St Edmunds 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 St Edmunds
✨Tip Number 1
Network like a pro! Reach out to current employees at JD Sports on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your foot in the door.
✨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 and automation.
✨Tip Number 3
Show off your leadership skills! If you’ve managed teams before, be sure to highlight this experience. JD is looking for someone who can guide junior developers and foster a collaborative environment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team.
We think you need these skills to ace Senior Data Integration Developer (Maternity Cover) in Bury St Edmunds
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 projects that showcase your skills in data integration and management.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with our goals at JD Sports. Don’t forget to mention your experience in leading teams and managing projects.
Showcase Your Technical Skills: Be specific about your technical expertise. Mention your hands-on experience with tools like BigQuery and Cloud Run, and provide examples of how you've used these technologies to solve problems or improve processes in previous roles.
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s straightforward and ensures your application goes directly to us. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at JD Sports Fashion
✨Know Your Tools Inside Out
Make sure you’re well-versed in Google Cloud Platform, especially BigQuery and Cloud Run. Brush up on your Python skills too, as you'll likely be asked to demonstrate your ability to design and automate data workflows during the interview.
✨Showcase Your Leadership Skills
Since this role involves managing a team, be prepared to discuss your experience in leading projects and mentoring junior developers. Share specific examples of how you've supported team members' development and ensured project success.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about data integration processes. Be ready to explain your approach to building data pipelines and how you handle data verification and analysis using SQL and Python.
✨Demonstrate Problem-Solving Abilities
Highlight your problem-solving skills by discussing past challenges you've faced in data integration projects. Use the STAR method (Situation, Task, Action, Result) to structure your answers and show how you achieved successful outcomes.