At a Glance
- Tasks: Join a dynamic team to build modern data pipelines and products for a leading retailer.
- Company: Renowned UK retailer with a focus on data innovation.
- Benefits: Up to £68,000 salary, hybrid work, private medical insurance, and retail perks.
- Other info: Gain mentorship and work in a fast-paced, collaborative environment.
- Why this job: Be part of a high-impact data transformation project that shapes your career.
- Qualifications: 2+ years as a Data Engineer, strong SQL skills, and experience with Snowflake and dbt.
The predicted salary is between 68000 - 68000 £ per year.
We're hiring a hands-on Data Engineer to join a high-profile data modernisation programme at one of the UK's most recognisable retail brands. This is a genuinely exciting opportunity to help build a modern data platform from the ground up, working with best-in-class tooling at pace and scale.
The Programme
You'll be joining a data modernisation initiative — replatforming a legacy data and reporting estate onto a modern cloud stack (Snowflake, dbt, Fivetran, Azure), retiring legacy MSSQL warehouses, and delivering across multiple international markets. Fast-paced, high-visibility, and high-impact.
The Role
Working as part of a collaborative engineering team and reporting to a Senior Data Engineer, you'll be hands-on in the day-to-day build of pipelines and data products that power analytics and reporting across the business.
You'll be:
- Building and maintaining pipelines in Snowflake, dbt and Fivetran, ingesting from SaaS source systems including Workday, Oracle Symphony and NetSuite
- Writing clean, well-tested SQL, Python and dbt code
- Building dbt tests and data quality checks
- Contributing to CI/CD pipelines and peer code reviews
- Participating in Agile ceremonies and on-call rota once onboarded
- Documenting pipelines, datasets and design decisions clearly
What We're Looking For
Essential:
- 2+ years' commercial experience as a Data Engineer or Analytics Engineer
- Strong SQL — able to write, debug and optimise non-trivial queries
- Hands-on experience with a modern cloud data warehouse (Snowflake strongly preferred)
- Hands-on dbt experience (Core or Cloud) — not just exposure
- Proficient in Python for data transformation and scripting
- Comfortable with Git and Agile delivery
- Right to work in the UK without sponsorship
Nice to Have:
- Fivetran or another managed ELT tool
- Azure (Function Apps, Logic Apps, Data Factory)
- MSSQL / T-SQL experience, particularly migrating legacy stored procedures
- CI/CD tooling (GitHub Actions, Azure DevOps)
- Power BI familiarity
- Knowledge of dimensional, semantic or medallion architecture
What's on Offer
- Up to £68,000 base salary
- Hybrid — 3 days per week in Manchester (Piccadilly)
- Private medical insurance
- Pension & life assurance
- Retail perks and bonus scheme
- Genuine career-shaping experience on a high-profile programme with senior mentorship
Data Engineer in Manchester employer: Venturi
Join one of the UK's most recognisable retail brands as a Data Engineer and be part of an exciting data modernisation programme. With a collaborative work culture, opportunities for professional growth, and a hybrid working model in the vibrant city of Manchester, this role offers a unique chance to shape your career while enjoying benefits like private medical insurance and a generous bonus scheme.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at the retailer on LinkedIn. A friendly chat can give you insider info and might just get your application noticed.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with relevant projects, make sure to highlight them during interviews. It’s a great way to demonstrate your hands-on experience with tools like Snowflake and dbt.
✨Tip Number 3
Prepare for technical questions! Brush up on SQL and Python, and be ready to solve problems on the spot. Practising common data engineering scenarios can really help you shine.
✨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, we love seeing candidates who take that extra step!
We think you need these skills to ace Data Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with SQL, Python, and any cloud data warehousing tools like Snowflake. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific projects where you've built data pipelines or worked with dbt. We love seeing real examples of your work, so don’t hold back on the details that show off your hands-on experience.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're excited about this opportunity and how you can contribute to our data modernisation programme. Keep it engaging and let your personality shine through!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting role. Don’t miss out!
How to prepare for a job interview at Venturi
✨Know Your Tech Stack
Make sure you’re well-versed in the tools mentioned in the job description, especially Snowflake, dbt, and Fivetran. Brush up on your SQL skills and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced as a Data Engineer and how you overcame them. Use examples that highlight your ability to write clean, efficient code and build robust data pipelines.
✨Understand Agile Methodologies
Since this role involves Agile ceremonies, be prepared to discuss your experience with Agile practices. Share how you've contributed to team sprints and any tools you’ve used for CI/CD processes.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s data modernisation programme. Inquire about their current challenges or future plans for the data platform to demonstrate your enthusiasm and strategic thinking.
