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For Companies At a Glance
- Tasks: Design and build scalable data solutions for impactful decision-making.
- Company: Global tech firm with a focus on innovation and collaboration.
- Benefits: Competitive pay, growth opportunities, and strong mentorship.
- Why this job: Make a real impact by turning complex data into actionable insights.
- Qualifications: 5+ years in data roles, strong SQL skills, and programming experience.
- Other info: Join a dynamic team and work on high-impact data initiatives.
The predicted salary is between 28800 - 48000 £ per year.
Recruiter are recruiting on behalf of a global tech firm who are looking for a talented Data Engineer to join their team. In this role, you’ll design and build scalable data solutions that enable data-driven decision-making across marketing programs, customer insights, and business performance. You’ll partner closely with data scientists, analysts, and business stakeholders to turn complex data into meaningful insights.
Key Responsibilities
- Collaborate with analytics and marketing teams to translate business needs into scalable data solutions
- Design, build, and maintain data models, pipelines, and reporting solutions to support analytics and measurement use cases
- Develop reliable ETL/ELT processes to integrate data from multiple structured and unstructured sources
- Ensure high data quality, reliability, and performance across data systems and pipelines
- Partner with engineers, data scientists, and business teams to represent data in clear, actionable ways
- Contribute to data architecture and platform design, balancing scalability, performance, and cost
- Implement data security, privacy, and governance best practices
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience)
- 5+ years of experience in data-focused roles such as Data Engineer, Data Analyst, or Data Scientist
- Strong experience with SQL, data modeling, ETL/ELT, and data visualization tools
- Proficiency in at least one programming language (Python preferred)
- Experience supporting marketing analytics, growth, product analytics, or similar business domains is a plus
What We Offer
- Opportunity to work on high-impact, data-driven initiatives
- Collaborative, cross-functional environment with strong technical mentorship
- The chance to design scalable data platforms and analytics foundations
- Competitive compensation and growth opportunities
To hear more about this position or to discuss your suitability please reach out to Sam Sullivan for a confidential chat on 01 632 5027 or email your CV to sam.sullivan@recruiters.ie. Your CV will not be sent to any third party without your consent. The closing date is the 11th of February at 11am.
By applying here you agree to RECRUITERS storing your CV in our secure applicant tracking system (ATS; Bullhorn). As your consultants, we are dedicated to helping you find a new job in your field of expertise and, equally, to keeping your personal information secure at all times. Your CV will not be sent to any third party without your consent.
Data Engineer in Bristol employer: RECRUITERs
Contact Detail:
RECRUITERs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Bristol
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work in data roles. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, whether it's a cool ETL pipeline or a data visualisation. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practise explaining your thought process when solving problems, as this is often what interviewers are keen to see.
✨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’re here to support you every step of the way!
We think you need these skills to ace Data Engineer in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with SQL, data modelling, and ETL/ELT processes. We want to see how your skills align with the job description!
Showcase Your Projects: Include specific projects where you've designed scalable data solutions or worked with data pipelines. This gives us a clear picture of your hands-on experience and problem-solving abilities.
Keep It Clear and Concise: Your application should be easy to read. Use bullet points and clear headings to make it skimmable. We appreciate straightforward communication, so get to the point while showcasing your achievements!
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!
How to prepare for a job interview at RECRUITERs
✨Know Your Data Tools
Make sure you brush up on your SQL, ETL/ELT processes, and any data visualisation tools you’ve used. Be ready to discuss specific projects where you’ve implemented these skills, as it shows you can walk the talk.
✨Understand the Business Context
Familiarise yourself with how data impacts marketing programs and business performance. Think about how you can translate complex data into actionable insights that align with the company's goals. This will help you stand out as a candidate who understands the bigger picture.
✨Prepare for Technical Questions
Expect to face technical questions or even a coding challenge during the interview. Practise common data engineering problems and be prepared to explain your thought process clearly. This will demonstrate your problem-solving skills and technical expertise.
✨Showcase Collaboration Skills
Since this role involves working closely with data scientists and business stakeholders, be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve turned data into insights that others can easily understand.
