At a Glance
- Tasks: Own and develop a cloud-based data platform, turning fragmented data into actionable insights.
- Company: Fast-growing VC-backed tech company in the education sector.
- Benefits: High autonomy, clear progression opportunities, and support from an established team.
- Other info: Join at a pivotal stage and influence foundational standards in a dynamic environment.
- Why this job: Make a tangible impact on a growing data platform and shape its future.
- Qualifications: Strong data engineering skills with experience in GCP, BigQuery, and ELT tools.
The predicted salary is between 65000 - 70000 € per year.
This is an opportunity to join a fast-growing digital marketplace at a pivotal stage in its data journey. The business is investing heavily in its data platform and is looking for a Data Engineer to take ownership of a modern stack, bridge technical and commercial needs, and play a key role in shaping how data is used across the organisation.
The Company
They are a VC-backed technology business operating a two-sided online marketplace within the education sector. With strong growth and an expanding customer base, data has become central to improving acquisition, understanding user journeys, and delivering clearer commercial insight. The data function is still maturing, offering a rare chance to influence foundations, standards, and ways of working from an early stage.
The Role
You will be the first key Data Engineer hired in a new phase of the data team, taking ownership of an existing cloud-based data platform following a consultant handover. Working closely with analytics and senior stakeholders, you will help turn fragmented data into reliable, actionable insight.
Responsibilities include:
- Owning and developing the data platform on GCP, ensuring reliability and scalability
- Building and maintaining robust ingestion pipelines using modern ELT tools
- Designing and maintaining high-quality data models to support analytics and self-serve BI
- Partnering with BI and commercial teams to translate business needs into technical solutions
- Supporting data governance, testing, and documentation across the warehouse
- Contributing to ongoing platform improvements, including automation and AI-enabled tooling
Your Skills & Experience
- Strong data engineering fundamentals within a modern cloud data stack
- Proven experience with GCP, BigQuery, dbt, and ELT tools such as Fivetran or similar
- Solid data modelling capability for analytics and reporting use cases
- Hands-on experience with infrastructure as code, particularly Terraform
- Comfortable working in scaling environments with evolving data maturity
- Able to communicate clearly with both technical and non-technical stakeholders
- An interest in automation, AI, or improving engineering workflows is beneficial
What They Offer
- High autonomy and the chance to shape a growing data platform
- Clear scope for progression as the data function expands
- Support from an established DevOps and engineering team
How to Apply
If you are a Data Engineer looking to own a modern data stack and make a tangible impact in a growing tech business, apply now to learn more.
(197330) Data Engineer in Bristol employer: LinkedIn
Join a dynamic and fast-growing digital marketplace that prioritises data as a core component of its strategy. With a fully remote work environment, you will enjoy high autonomy and the opportunity to shape a modern data platform while collaborating with an established team. The company fosters a culture of innovation and offers clear pathways for career progression, making it an excellent employer for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land (197330) Data Engineer in Bristol
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s data needs. Be ready to discuss how you can contribute to their data platform and improve their processes.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace (197330) Data Engineer in Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your data engineering fundamentals, especially with GCP and ELT tools, to show us you’re the right fit for our team.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re excited about this role and how you can contribute to our data journey. Share specific examples of your past work that align with the responsibilities listed in the job description.
Showcase Your Technical Skills:Don’t shy away from detailing your hands-on experience with tools like BigQuery and Terraform. We want to see how you’ve used these technologies to solve real-world problems and improve workflows.
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 during the process.
How to prepare for a job interview at LinkedIn
✨Know Your Data Stack
Make sure you’re well-versed in the modern cloud data stack mentioned in the job description. Brush up on your GCP, BigQuery, and ELT tools like Fivetran. Being able to discuss your hands-on experience with these technologies will show that you’re ready to take ownership of their data platform.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in previous roles, especially around building ingestion pipelines or data modelling. This is your chance to demonstrate how you can bridge technical and commercial needs, so think of specific scenarios where you made a significant impact.
✨Communicate Clearly
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. You might be asked to describe a project or a technical solution, so being able to articulate your thoughts clearly will set you apart.
✨Express Your Interest in Automation and AI
The role mentions an interest in automation and AI as beneficial. Be prepared to discuss any relevant projects or ideas you have in this area. Showing enthusiasm for improving engineering workflows can highlight your proactive approach and alignment with their goals.
