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For Companies At a Glance
- Tasks: Transform data landscapes and build a modern cloud-first data platform.
- Company: Join Liquidline, a fast-growing family-owned tech company.
- Benefits: Enjoy 25 days leave, health plans, bonuses, and flexible working.
- Other info: Dynamic environment with endless opportunities for growth and innovation.
- Why this job: Make a real impact by shaping how data drives business success.
- Qualifications: 3-5 years in Data Engineering with strong SQL and cloud experience.
The predicted salary is between 50000 - 65000 £ per year.
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.
- Solid understanding of star schemas and Kimball methodologies.
- 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.
- Experience with Docker and/or Terraform (desirable).
What You Will Learn & What Liquidline Can Offer You
Being a part of Liquidline is more than just a job – it’s a chance to grow, develop and thrive! We are deeply invested in the success of our team and our comprehensive benefits package is designed to support, and reward our employees. The package includes, but is not limited too:
- 25 Days Annual Leave + Bank Holidays: Extra time off to rest and recharge.
- 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: Celebrate success with us.
- Enhanced Sick Pay: Supporting you when you need it most.
- Enhanced Parental Leave: Comprehensive support for your family journey.
- Salary Sacrifice Pension Scheme: Save for your future with ease.
- Life Assurance & Income Protection (UK Only): Peace of mind for you.
- 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.
Liquidline is a fast-growing, family owned business that has expanded from 92 to over 300 employees since 2020. With ambitious plans for the next five years, there’s never been a better time to join us! Our dynamic and innovative environment offers endless opportunities for personal and professional growth.
We are proud to be an Equal Opportunities Employer, treating everyone with fairness, respect and appreciation. At Liquidline, we embrace diversity and value the unique experiences and perspectives of every individual. Together, we are always Winning Together!
Data Engineer in Ipswich employer: Liquidline
Contact Detail:
Liquidline Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Ipswich
✨Tip Number 1
Network like a pro! Reach out to current employees at Liquidline on LinkedIn or other platforms. Ask them about their experiences and the company culture. This can give you insider info and might even lead to a referral!
✨Tip Number 2
Show off your skills in real-time! Consider building a small project that showcases your data engineering abilities, especially with tools like BigQuery or Airbyte. Share it during interviews to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and T-SQL skills. Practice common data engineering problems and be ready to discuss how you've modernised legacy systems in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Liquidline team.
We think you need these skills to ace Data Engineer in Ipswich
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with cloud data warehouses and any relevant projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to transforming our data landscape. Let us know why you're excited about this opportunity at Liquidline.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical skills! Mention your expertise in SQL/T-SQL, cloud tools like BigQuery, and any experience with CI/CD pipelines. We love seeing candidates who are hands-on and ready to dive into our tech stack.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates. Plus, it’s super easy!
How to prepare for a job interview at Liquidline
✨Know Your Data Tools
Familiarise yourself with the specific tools mentioned in the job description, like BigQuery and Airbyte. Be ready to discuss your hands-on experience with these technologies and how you've used them to build or modernise data platforms.
✨Showcase Your SQL Skills
Prepare to demonstrate your expert-level SQL/T-SQL knowledge. Think of examples where you've refactored complex logic and optimised queries, as this will be crucial for the role. Practising some common SQL problems can also help you feel more confident.
✨Understand Cloud Architecture
Brush up on cloud data architecture concepts, especially if you've worked on migrations before. Be prepared to explain how you've contributed to moving from legacy systems to cloud-first solutions, as this is a key part of the role.
✨Discuss AI Readiness
Since the role involves preparing data for AI and ML, think about your exposure to these concepts. Be ready to talk about any relevant projects or interests you have in machine learning frameworks like TensorFlow or scikit-learn, and how you envision data supporting future AI initiatives.