At a Glance
- Tasks: Build and maintain exciting data pipelines using modern tech like Snowflake and dbt.
- Company: Globally recognised consumer brand in the midst of a major data transformation.
- Benefits: Competitive salary, bonuses, private medical, pension, and awesome perks.
- Other info: Hybrid working in Manchester with mentorship from senior engineers for rapid growth.
- Why this job: Gain hands-on experience with a cutting-edge data stack and make a real impact.
- Qualifications: 2+ years as a Data Engineer, strong SQL skills, and hands-on dbt experience.
The predicted salary is between 40000 - 50000 £ per year.
Ever wanted to work on a tech stack that actually excites you, at a brand that millions of people interact with every single day? This could be the one. We're a globally recognised consumer brand in the middle of a major data modernisation programme, and they need a hands-on Data Engineer to help them build it.
The role involves working day-to-day on a modern cloud data platform, building and maintaining pipelines that take data from a variety of source systems through to the analytics and reporting layer. The stack is Snowflake, dbt, and Fivetran, sitting on an Azure-based integration layer. This isn't maintenance work — you're building something new, and your fingerprints will be all over it.
You will report into a Senior Data Engineer and work as part of a collaborative, fast-moving team delivering against real milestones. Both permanent and fixed-term contract routes are available.
What you'll be doing:
- Building and maintaining data pipelines in Snowflake, dbt and Fivetran
- Writing clean, well-tested SQL, Python and dbt code
- Building dbt tests and data quality checks
- Contributing to CI/CD pipelines and improving team automation
- Participating in code reviews and Agile ceremonies
- Documenting your work so the whole team benefits
What we're looking for:
- 2+ years' experience as a Data Engineer or Analytics Engineer
- Strong SQL skills to write, debug and optimise non-trivial queries
- Hands-on dbt experience (Core or Cloud) actual usage, not just exposure
- Experience with at least one modern cloud data warehouse (Snowflake preferred)
- Python for data transformation and scripting
- Git and PR-based workflows
- Fivetran or another managed ELT tool
- CI/CD tooling such as GitHub Actions or Azure DevOps
- Data modelling knowledge (dimensional, medallion, semantic layer)
- MSSQL / T-SQL, particularly legacy migration experience
Why this role?
This is a genuine opportunity to grow fast. You'll be working on a recognised consumer brand at scale, mentored by senior engineers who care about your development, and getting real hands-on experience with a modern data stack that companies are desperate for right now. It's not a 'maintain the spreadsheets' role, it's a build role, with scope and visibility.
Hybrid working from their Manchester Piccadilly office, three days a week. Competitive salary, bonus, private medical, pension, life assurance, and some very good perks on top.
Data Engineer employer: Chroma Recruitment
Join a globally recognised consumer brand in Manchester, where you'll be at the forefront of an exciting data modernisation programme. With a strong focus on employee growth and development, you'll work alongside experienced engineers in a collaborative environment, enjoying hybrid working arrangements and a competitive benefits package that includes private medical insurance and generous perks. This is not just a job; it's an opportunity to make a significant impact while advancing your career in a dynamic tech landscape.
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 on LinkedIn or at industry events. A friendly chat can give you insider info and might just land you a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, SQL queries, and any projects using Snowflake or dbt. This will make you stand out in interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and Python skills. Practice common data engineering problems and be ready to discuss your past projects in detail.
✨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 are proactive about their job search.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Off Your Skills:When you're writing your application, make sure to highlight your experience with SQL, dbt, and any cloud data platforms you've worked on. We want to see how your skills align with what we're looking for, so don’t hold back!
Be Specific About Your Experience:Instead of just listing your previous roles, dive into the specifics of what you did. Talk about the data pipelines you built or the projects you contributed to. This helps us understand your hands-on experience and how you can fit into our team.
Keep It Clean and Professional:Make sure your application is well-structured and free from typos. A clean, professional presentation shows us that you pay attention to detail, which is super important in a Data Engineer role.
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’s super easy to do!
How to prepare for a job interview at Chroma Recruitment
✨Know Your Tech Stack
Make sure you’re well-versed in Snowflake, dbt, and Fivetran. Brush up on how these tools work together and be ready to discuss your hands-on experience with them. If you've built data pipelines before, have specific examples ready to share!
✨Show Off Your SQL Skills
Prepare to demonstrate your SQL prowess. Be ready to write, debug, and optimise queries on the spot. Practise common SQL problems and think about how you can explain your thought process clearly during the interview.
✨Emphasise Collaboration
This role is all about teamwork, so highlight your experience working in Agile environments. Share examples of how you’ve contributed to code reviews or participated in team ceremonies. Show that you’re not just a lone wolf but a team player!
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data modernisation programme and the team dynamics. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you. Plus, it gives you a chance to engage with your interviewers!
