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: Competitive salary, high autonomy, and clear progression opportunities.
- Other info: Join an established team and contribute to exciting platform improvements.
- Why this job: Shape a growing data platform and make a real impact in a dynamic environment.
- 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 Nottingham 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 Nottingham
✨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 by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace (197330) Data Engineer in Nottingham
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let us see your enthusiasm for data engineering! Share specific examples of projects you've worked on and how they relate to the role. We love seeing candidates who are genuinely excited about shaping data platforms.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for this position. Highlight your experience with GCP, BigQuery, and ELT tools like Fivetran. We want to see how your skills align with our needs, so don’t hold back on the details!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your experience and skills. We appreciate candidates who can communicate effectively, especially when bridging technical and commercial needs.
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 shows you’re keen on joining our team!
How to prepare for a job interview at LinkedIn
✨Know Your Tech Stack
Make sure you’re well-versed in the specific technologies mentioned in the job description, like GCP, BigQuery, and ELT tools. Brush up on your knowledge of these platforms and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data challenges in previous roles. Think about times when you had to bridge technical and commercial needs, and be ready to explain your thought process and the impact of your solutions.
✨Communicate Clearly
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. This will demonstrate your ability to collaborate effectively across teams.
✨Express Your Interest in Innovation
The role mentions a focus on automation and AI. Be prepared to discuss your interest in these areas and any relevant experience you have. Showing enthusiasm for improving engineering workflows can set you apart from other candidates.
