At a Glance
- Tasks: Join a dynamic team to build modern data pipelines and platforms.
- Company: A leading UK retailer known for innovation and impact.
- Benefits: Competitive salary, private medical insurance, and pension plan.
- Other info: Hybrid work model with opportunities for career growth in a fast-paced environment.
- Why this job: Be part of a high-profile data transformation project with cutting-edge tools.
- Qualifications: 2+ years as a Data Engineer, strong SQL skills, and cloud experience.
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
Data Engineer 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 competitive salary of up to £68,000, this role offers the chance to work with cutting-edge technology in a hybrid environment based in Manchester. Enjoy benefits like private medical insurance and a pension plan while contributing to impactful projects that shape the future of retail analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at the company you're eyeing, especially those in data roles. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Snowflake, dbt, or Python. This gives you a chance to demonstrate your hands-on experience beyond just words on a CV.
✨Tip Number 3
Prepare for the technical interview! Brush up on SQL queries and be ready to solve real-world problems on the spot. Practising with mock interviews can help you feel more confident when it’s your turn.
✨Tip Number 4
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 to connect directly with us.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with SQL, Snowflake, and dbt, as these are key skills we're looking for. Show us how your past projects align with our data modernisation programme!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about this opportunity and how you can contribute to building a modern data platform. Be genuine and let your personality come through!
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links to your GitHub or any other portfolio showcasing your SQL, Python, and dbt work. We love seeing practical examples of your skills in action.
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 the role. Plus, it makes the process smoother for everyone involved!
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 and Python skills, as you'll likely be asked to demonstrate your ability to write and optimise queries during the interview.
✨Showcase Your Experience
Prepare specific examples from your past work that highlight your hands-on experience with data pipelines and cloud data warehouses. Be ready to discuss challenges you faced and how you overcame them, particularly in a collaborative team environment.
✨Understand Agile Methodologies
Since the role involves Agile ceremonies, it’s crucial to understand Agile principles. Familiarise yourself with how Agile works in a data engineering context and be prepared to discuss your experience with Agile practices in previous roles.
✨Ask Insightful Questions
Prepare thoughtful questions about the data modernisation programme and the team dynamics. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.
