At a Glance
- Tasks: Lead exciting greenfield data projects and build robust data pipelines.
- Company: Fast-growing organisation focused on data capability and remote work culture.
- Benefits: Competitive salary, clear progression opportunities, and a culture of trust.
- Other info: Join a dynamic team committed to continuous improvement and innovation.
- Why this job: Make a real impact on modern cloud data platforms with autonomy.
- Qualifications: Strong experience in Python and SQL, with project leadership skills.
The predicted salary is between 55000 - 75000 £ per year.
This Senior Data Engineer role stands out for its focus on greenfield data projects, genuine ownership, and the opportunity to work end to end on modern cloud data platforms. You will join a growing data function where engineers are trusted to make decisions, lead delivery, and have real impact without heavy layers of management.
The Company
They are a fast growing organisation investing heavily in their data capability to support long term scale. The business operates a fully remote model across the UK and Republic of Ireland, giving engineers flexibility while remaining closely connected as a team. Their data function is led by an experienced Head of Data and is built around modern engineering principles, autonomy, and continuous improvement. Ongoing hiring plans reflect a strong commitment to data as a core capability.
The Role
- Lead the design and delivery of greenfield data engineering projects from concept through to production
- Build and maintain robust data pipelines, transformations, and orchestration workflows
- Design cloud based data solutions starting from source systems
- Deploy and manage environments, with a focus on reliability and scalability
- Take ownership of projects and act as a technical point of contact for stakeholders and clients
- Contribute to ongoing optimisation and improvement of the data platform
Your Skills and Experience
- Strong commercial experience using Python and SQL in data engineering environments
- Proven ability to lead projects independently and take responsibility for delivery
- Experience building data pipelines, transformations, and workflows in modern data stacks
- Confidence communicating directly with stakeholders and clients
- Comfortable working autonomously in a fast moving, remote environment
- Experience with infrastructure as code such as Terraform is beneficial but not essential
What They Offer
- Exposure to greenfield projects and modern cloud data platforms
- Clear progression opportunities as the data team continues to scale
- A culture that values ownership, trust, and proactive problem solving
How to Apply
If you are a Senior Data Engineer looking for autonomy, impact, and the chance to shape modern data platforms, apply now to learn more.
(198553) Senior Data Engineer in Nottingham employer: Harnham
This company is an excellent employer for Senior Data Engineers, offering a fully remote work model across the UK and Republic of Ireland that promotes flexibility and team connectivity. With a strong focus on greenfield projects and modern cloud data platforms, employees enjoy genuine ownership of their work, a culture that values trust and proactive problem-solving, and clear opportunities for career progression as the data function continues to grow.
StudySmarter Expert Advice🤫
We think this is how you could land (198553) Senior 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 projects, especially those involving Python and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining your past projects and how you've taken ownership in previous roles. Confidence is key!
✨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 (198553) Senior Data Engineer in Nottingham
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python and SQL in your application. We want to see how you've used these skills in real-world data engineering projects, so don’t hold back!
Be Yourself:We love authenticity! When writing your application, let your personality shine through. Share your passion for data engineering and how you approach problem-solving in a fast-paced environment.
Tailor Your Application:Take a moment to customise your application for this role. Mention specific greenfield projects or cloud data platforms you've worked on, as this shows us you're genuinely interested in what we do.
Apply Through Our Website:For the best chance of success, make sure to apply directly through our website. This way, we can easily track your application and get back to you quicker!
How to prepare for a job interview at Harnham
✨Know Your Data Engineering Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss your experience with building data pipelines and transformations, as well as any greenfield projects you've worked on. This role is all about taking ownership, so show them you know your stuff!
✨Showcase Your Project Leadership
Prepare examples of projects where you've led the design and delivery process. Highlight how you took responsibility for the outcomes and communicated effectively with stakeholders. They want to see that you can work autonomously and make decisions without heavy management.
✨Familiarise Yourself with Cloud Solutions
Since this role involves designing cloud-based data solutions, it’s a good idea to have a solid understanding of modern cloud platforms. If you’ve used Terraform or similar tools, be sure to mention that. Even if you haven’t, showing enthusiasm for learning about these technologies can go a long way.
✨Emphasise Your Problem-Solving Skills
The company values proactive problem-solving, so think of specific instances where you’ve tackled challenges in your previous roles. Discuss how you optimised data platforms or improved workflows. This will demonstrate your ability to contribute to their culture of continuous improvement.
