At a Glance
- Tasks: Design and build a modern data platform, transforming legacy systems into cloud-first solutions.
- Company: Join Liquidline, the fastest-growing coffee solutions provider in the UK and Ireland.
- Benefits: Enjoy 25 days annual leave, flexible time off, and comprehensive health support.
- Other info: Dynamic environment with endless opportunities for personal and professional growth.
- Why this job: Make a real impact by shaping data architecture and preparing for AI initiatives.
- Qualifications: 3-5+ years in Data Engineering with strong SQL and cloud experience.
The predicted salary is between 60000 - 75000 £ per year.
Liquidline is the fastest-growing commercial coffee solutions provider in the UK and Ireland. Our customers are companies that take pride in offering quality refreshments to their employees and clients. We are proud to be Great Place to Work certified, a testament to our dedication to fostering a culture of support, growth and development, as well as promoting well-being, and winning together. With our core company values—passion, thoughtfulness, responsiveness, innovation, and smart working—at the very heart of our business, we are committed to cultivating an environment that inspires excellence.
We’re looking for a Data Engineer to play a pivotal role in transforming Liquidline’s data landscape. You’ll take ownership of the technical foundations of our data platform – from ingestion and infrastructure to deployment – helping us move from legacy, on-premise systems to a modern, cloud-first data architecture. Working closely with the BI & Data Lead and an Analytics Engineer, you’ll be the primary architect of our new data platform, supporting our acquisition strategy and turning fragmented legacy data into a competitive, AI-ready asset. If you enjoy building things from the ground up, modernising complex systems, and shaping how data is used across a business, this role offers real ownership and influence.
The Role - Data Engineer
- Designing a greenfield data platform – building and shaping our modern data stack (e.g. BigQuery, Airbyte), moving beyond standalone SQL Server environments.
- Leading integrations – supporting our NetSuite migration and creating scalable data frameworks for future acquisitions.
- Modernising legacy systems – refactoring complex, business-critical T-SQL into modular, high-performance cloud workflows.
- Raising engineering standards – introducing Git, CI/CD pipelines, automated testing and best-practice engineering processes.
- Preparing data for AI and ML – designing resilient architectures that ensure high-quality, accessible data for future AI initiatives.
What You Will Need In The Role Of Data Engineer
- ~3–5+ years’ experience in Data Engineering, ideally involving cloud warehouse builds or migrations.
- ~ Expert-level SQL/T-SQL with proven experience refactoring and optimising complex logic.
- ~ Hands-on experience with cloud data warehouses (e.g. BigQuery, Snowflake), ingestion tools (Airflow, Airbyte), and analytics tooling such as dbt and Power BI.
- ~ Strong working knowledge of Git/version control, CI/CD pipelines, and Python for automation.
- ~ Experience supporting advanced Power BI models (DAX and Power Query).
- ~ Exposure to ML/AI concepts (e.g. scikit-learn, TensorFlow) or an interest in preparing data for LLMs, RAG architectures or predictive models.
We are deeply invested in the success of our team and our comprehensive benefits package is designed to support, and reward our employees:
- 25 Days Annual Leave + Bank Holidays: Long Service Annual Leave Entitlement & Buy/Sell Scheme: More flexibility for your time off needs.
- Candidate Referral Program: Help grow our team and earn rewards.
- Company Bonus Scheme: Enhanced Sick Pay: Supporting you when you need it most.
- Enhanced Parental Leave: Salary Sacrifice Pension Scheme: Save for your future with ease.
- Life Assurance & Income Protection (UK Only): HSF Health Plan: Access affordable healthcare.
- YuLife Wellbeing Platform: One stop shop for wellbeing, rewards and support.
- Employee Assistance Programme: Mental health support, virtual GP services and more.
- Lunch on Liquidline & Bi-Annual Conferences: Enjoy lunch on Liquidline, and Bi Annual company conferences.
Our dynamic and innovative environment offers endless opportunities for personal and professional growth. At Liquidline, we embrace diversity and value the unique experiences and perspectives of every individual.
Locations
Senior Engineer, Data Engineering in Ipswich, Suffolk employer: Liquidline
Contact Detail:
Liquidline Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer, Data Engineering in Ipswich, Suffolk
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Liquidline. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data engineering projects. This gives you a chance to demonstrate your expertise in SQL, cloud platforms, and any cool AI/ML work you've done.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you would approach building a modern data platform and share your thoughts on best practices in data engineering.
✨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 genuinely interested in joining the Liquidline team!
We think you need these skills to ace Senior Engineer, Data Engineering in Ipswich, Suffolk
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your experience with cloud data warehouses and any relevant projects you've worked on. We want to see how you can contribute to our modern data stack!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your passion for data engineering. Share why you're excited about transforming Liquidline’s data landscape and how your background aligns with our core values. Let your personality shine through!
Showcase Your Technical Skills: Don’t hold back on showcasing your technical expertise! Mention your experience with SQL, cloud tools like BigQuery, and any automation skills you have. We’re looking for someone who can hit the ground running, so make it clear how you can do that.
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 don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Liquidline
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, like BigQuery and Airbyte. Brush up on your SQL/T-SQL skills and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've modernised legacy systems or built data platforms from scratch. Highlight specific challenges you faced and how you overcame them, as this will demonstrate your ability to think critically and innovate.
✨Understand the Company Culture
Liquidline values passion, thoughtfulness, and innovation. Research their company culture and think about how your personal values align with theirs. Be ready to share how you embody these values in your work.
✨Prepare for Technical Questions
Expect technical questions related to cloud data architecture and data engineering best practices. Practice explaining complex concepts in simple terms, as this shows your depth of understanding and ability to communicate effectively.