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Trainee Developer - Azure | Databricks | SQL

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Job Description
The Role
An exciting entry-level opportunity has arisen to join our Business Intelligence Systems (BIS) team at a pivotal moment in our tech journey. As we transition from legacy architectures to a modern cloud-first data ecosystem, you will work alongside experienced senior developers to learn, build, and support the future of our data infrastructure.
The BIS domain works in close collaboration with stakeholders across key business areas such as Finance, Product, Marketing, and Contact Centre to design, build, and support critical data solutions. Our thriving department features 80+ developers, analysts, and product managers focused on value-driven delivery. As a trainee, you will receive mentorship, hands-on training, and opportunities to work on live projects across our hybrid data environment.
What You’ll Take On:
- Learn and Grow: Work closely with senior developers through pair-programming and guided mentorship to build your expertise in modern data tools.
- Support Data Workflows: Assist in developing and maintaining solutions using tools across the Azure stack (Azure Data Factory, Azure Data Lake), Databricks, and PowerBI.
- Deliver Value: Help build solutions tailored to business requirements, including initiatives around data security controls, cost efficiencies, and process optimisation.
- Maintain & Innovate: Support core SQL database platforms while gaining exposure to cloud-first pipelines, automated data ingestion pathways, and emerging AI/machine learning data tools.
What You’ll Bring:
Foundational Knowledge & Key Areas:
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
- Core Programming & SQL: Foundational knowledge of SQL, with an eagerness to write clean, efficient queries and scripts.
- Data Integration Concepts: Basic understanding of ETL (Extract, Transform, Load) concepts, data pipelines, or database management.
- Data Visualisation: Familiarity or academic/project experience with reporting tools such as PowerBI.
- Cloud & Modern Data Exposure: A keen interest in or basic familiarity with cloud platforms (e.g., Azure Data Lake, Azure Data Factory) and unified analytics platforms like Databricks.
Professional Behaviours:
- Eagerness to Learn: A proactive mindset with a strong desire to learn modern data architecture, dimensional modeling, and cloud technologies.
- Collaboration: Ability to work effectively within multifunctional, fast-moving product teams.
- Communication: Clear written and spoken English skills, with the ability to ask questions, learn from feedback, and discuss technical ideas.
Desirable (Nice to Have):
- Familiarity with PySpark or relational database management systems (SQL Server RDBMS).
- An interest in data warehousing principles or dimensional modeling.
- A passion for exploring how Artificial Intelligence (AI) and Machine Learning (ML) can be applied to real-world data problems.
About Us
You know Next, but did you know we’re a FTSE-100 retail company employing over 44,000 people across the Next group. We’re the UK’s 2nd largest fashion retailer and for Kidswear we’re the market leader. At the last count we have over 450 stores, plus the Next Online and it’s now possible to buy online from over 80 countries around the world! So we’ve gone global!


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About The Team
- 25% off most NEXT, MADE*, Lipsy*, Gap* and Victoria's Secret* products (*when purchased through NEXT)
- Company performance based bonus
- Sharesave scheme
- On-site Nursery available; OFSTED outstanding in all areas
- 10% off most partner brands & up to 15% off Branded Beauty
- Early VIP access to sale stock
- Access to fantastic discounts at our Staff Shops
- Restaurants with great food at amazing prices
- Access a digital GP and other free health and wellbeing services
- Free on-site parking
- Financial Wellbeing - Save, track and enhance your financial wellbeing
- Apprenticeship - Grow and develop on the job whilst gaining a qualification
- Direct to Work - Discount online and instore, collect your items the next day for free from your place of work or local store
- Support Networks - Access to Network Groups to empower and celebrate each other
- Wellhub - Discounted flexible monthly gym memberships, with apps, PT sessions and more
Conditions apply to all benefits. These benefits are discretionary and subject to change.
We aim to support all candidates during the application process and are happy to provide workplace adjustments when necessary. Should you need support with your application due to a disability or long-term condition, feel free to get in touch with us by email headoffice_careers@next.co.uk (please include 'Workplace Adjustments' in the subject line), or call us on 0116 284 2486 and leave a voicemail.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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