BI Developer / Data Engineer (AWS, Python, Power BI) in Bolton

BI Developer / Data Engineer (AWS, Python, Power BI) in Bolton

Bolton Full-Time 50000 - 65000 € / year (est.) No home office possible
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At a Glance

  • Tasks: Build and optimise our AWS-based data platform and create impactful reports.
  • Company: Join a dynamic e-commerce business focused on innovation and growth.
  • Benefits: Competitive salary, remote work options, and opportunities for professional development.
  • Other info: Great chance to mentor juniors and shape the future of our data platform.
  • Why this job: Take ownership of projects and influence key business decisions with your data skills.
  • Qualifications: Strong SQL, Power BI, Python experience, and familiarity with e-commerce data.

The predicted salary is between 50000 - 65000 € per year.

We’re looking for a hands-on BI Developer / Data Engineer to help scale our data platform and reporting capability across our e-commerce business. You’ll work directly with the Head of Systems, BI & Data to build and improve our AWS-based data platform, delivering high-impact reporting across Trading, Finance and Marketing. This isn’t a maintenance role; you’ll be expected to own builds end-to-end, improve how things are done, and play a key part in how data is used commercially.

What you’ll actually be doing

  • Data Platform & Engineering
    • Build and optimise SQL transformations in Redshift
    • Develop Python-based pipelines and automation (Lambda-led)
    • Improve ETL reliability, monitoring and performance
    • Work with large transactional datasets (Shopify, orders, customers, products)
    • Own and improve data models used across the business
  • Reporting & BI
    • Design scalable Power BI data models (not just visuals)
    • Build reporting used daily by Trading, Finance and Marketing
    • Debug and improve existing reports (performance, accuracy, usability)
    • Translate loosely defined requirements into structured data solutions
  • Commercial Data
    • Work with real commercial problems:
    • - Margin and profitability
    • - Pricing and promotions
    • - Returns and refunds
    • - Marketing performance (GA4, Meta, Google Ads)
    • Ensure data reconciles across systems (Shopify, Brightpearl, Sage)

What good looks like in this role

  • You can take a problem and own it end-to-end
  • You’re comfortable working across:
  • - SQL
  • - Python
  • - BI
  • You don’t just build, you question and improve
  • You understand that data needs to be commercially correct, not just technically correct
  • You can explain what you’ve built to non-technical stakeholders

Core skills (must have)

  • Strong SQL (complex transformations, performance tuning)
  • Power BI (data modelling + DAX)
  • Experience working with AWS (Redshift essential)
  • Python for data pipelines / automation
  • Experience working with real-world data (not just clean datasets)
  • E-commerce experience (Shopify or similar)

Nice to have (not essential)

  • ERP / finance integrations (Brightpearl, Sage, NetSuite)
  • Marketing data (GA4, paid media platforms)
  • Experience in a fast-paced / high-growth business

Why this role is different

You’ll work directly with senior stakeholders across the business, influencing revenue, margin and marketing spend. You’ll help to shape how the data platform evolves, not just maintain it. This is not a pure dashboarding role nor is it a heavily layered team. You’ll have real ownership and exposure across all areas.

Progression

  • Opportunity to take ownership of key areas of the platform
  • Potential to mentor junior hires as the team grows
  • Exposure to strategic decisions across data and systems

Our hiring process

We plan to have 3 stages for this recruitment:

  • Stage 1 – Teams call to cover experience to date
  • Stage 2 – Technical face to face meeting
  • Stage 3 – Culture meeting with team and leaders

PLEASE NOTE

No agencies – Unsolicited CVs will be treated as a gift, and we will not be liable under your terms and conditions for agency fees.

BI Developer / Data Engineer (AWS, Python, Power BI) in Bolton employer: Cernucci

Join a dynamic e-commerce environment where your contributions as a BI Developer / Data Engineer will directly influence key business decisions and drive growth. With a strong focus on innovation, you'll enjoy a collaborative work culture that encourages ownership and continuous improvement, alongside opportunities for professional development and mentorship as the team expands. Located in a fast-paced setting, this role offers the chance to work with cutting-edge technologies and real-world data, making it an exciting place for those looking to make a meaningful impact.

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Contact Detail:

Cernucci Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land BI Developer / Data Engineer (AWS, Python, Power BI) in Bolton

Tip Number 1

Get to know the company inside out! Research their data platform, recent projects, and how they use data in their e-commerce business. This will help you tailor your conversations and show that you're genuinely interested in making an impact.

Tip Number 2

Practice your technical skills before the interview. Brush up on SQL transformations, Python pipelines, and Power BI data modelling. Being able to discuss your hands-on experience confidently will set you apart from other candidates.

Tip Number 3

Prepare to discuss real-world problems you've solved with data. Think about how you've improved ETL processes or optimised reporting in previous roles. Sharing specific examples will demonstrate your ability to own builds end-to-end.

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 proactive and keen to join our team!

We think you need these skills to ace BI Developer / Data Engineer (AWS, Python, Power BI) in Bolton

SQL
Python
AWS
Redshift
Power BI
DAX
ETL

Some tips for your application 🫡

Tailor Your CV:Make sure your CV speaks directly to the skills and experiences mentioned in the job description. Highlight your SQL, Python, and Power BI expertise, and don’t forget to mention any e-commerce experience you have!

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've owned projects end-to-end and improved data processes in your previous roles.

Showcase Your Problem-Solving Skills:In your application, give us a taste of how you tackle real-world data challenges. We want to see your thought process and how you’ve made data commercially correct, not just technically correct.

Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!

How to prepare for a job interview at Cernucci

Know Your Tech Inside Out

Make sure you’re well-versed in SQL, Python, and Power BI. Brush up on complex transformations and performance tuning in SQL, and be ready to discuss how you've built data pipelines using Python. Familiarise yourself with AWS, especially Redshift, as you'll need to demonstrate your hands-on experience.

Prepare Real-World Examples

Think of specific projects where you've tackled real commercial problems, like margin analysis or marketing performance. Be ready to explain how you approached these challenges, the solutions you implemented, and the impact they had on the business. This will show that you can own a problem end-to-end.

Understand the Business Context

Get a grasp of how data influences trading, finance, and marketing decisions. Research the company’s e-commerce model and think about how your role as a BI Developer/Data Engineer can drive improvements. This will help you translate technical jargon into business value during the interview.

Engage with Stakeholders

Since you'll be working closely with senior stakeholders, practice explaining your technical work to non-technical audiences. Prepare to discuss how you can improve existing reports and data models, and be ready to ask insightful questions about their needs and expectations.