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- Tasks: Join a small team to build and enhance data infrastructure with cutting-edge tech.
- Company: Be part of a growing company focused on innovative data solutions.
- Benefits: Enjoy 95% remote work, competitive salary, and the chance to shape your role.
- Why this job: Influence decisions, take ownership, and work with modern technologies in a collaborative environment.
- Qualifications: Experience with PySpark, Python, Azure, Kubernetes, and Terraform is ideal.
- Other info: UK-based applicants only; no sponsorship available.
The predicted salary is between 70000 - 82000 £ per year.
You’ll probably be the kind of Engineer who loves rolling up their sleeves, and still getting stuck into coding. You’ll probably like the sound of having no legacy tech to worry about – and you’re probably looking for the chance to actually influence decisions.
Well, this is the role for you.
You’d be joining a team who’ve built their data infrastructure from scratch over the last few years. Even better, they’re having no issues and things are going well – but they don’t want to stand still.
But as they’re continuing to grow, they’re looking to take it to the next level and make their infrastructure more mature – so you’ll come in to help with reliability and stability.
They already have plans to form a Central Data Hub (which you’ll play a big part in) – and establishing a larger data mesh.
Your focus will be on all things data processing within Databricks, ingestion pipelines, and DataOps/DevOps.
Tech wise, you’d surround yourself with PySpark/Python, Azure, Kubernetes, Terraform and IaaC. Of course, you’ll ideally have exposure with most of it.
As it stands, their Data team is only small – just one other Data Engineer at the mo. So you’ll get the chance to put your own stamp on things, and take ownership of your own work.
Salary wise, they’ll pay anywhere from £70,000-£82,000 DOE. It’s majority remote – heading into Oxford once every couple of months or so.
They can interview this side of Christmas too.
Get in touch with Jack Leeming @ Optima Dev for a chat.
You need to be UK-based, and they can\’t offer sponsorship.
Senior Data Engineer (95% Remote) employer: Optima Dev
Contact Detail:
Optima Dev Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (95% Remote)
✨Tip Number 1
Make sure to showcase your hands-on experience with data processing and the specific technologies mentioned, like PySpark, Python, and Azure. Highlight any projects where you've built or improved data infrastructure, as this will resonate well with the team.
✨Tip Number 2
Since the team is small, emphasize your ability to work independently and take ownership of projects. Share examples of how you've influenced decisions in previous roles, as this aligns with their desire for someone who can make an impact.
✨Tip Number 3
Familiarize yourself with the concept of a Central Data Hub and data mesh architecture. Being able to discuss these topics intelligently during your conversation will demonstrate your proactive approach and understanding of their future goals.
✨Tip Number 4
Since the role is mostly remote, be prepared to discuss your experience with remote collaboration tools and practices. Highlight how you maintain communication and productivity while working remotely, as this is crucial for a successful remote work environment.
We think you need these skills to ace Senior Data Engineer (95% Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data processing, Databricks, and the technologies mentioned in the job description like PySpark, Python, Azure, Kubernetes, and Terraform. Use specific examples to demonstrate your skills.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the opportunity to influence decisions within a growing team. Mention your experience in building data infrastructure and how you can contribute to their Central Data Hub.
Showcase Your Problem-Solving Skills: Provide examples of how you've tackled challenges in previous roles, particularly in relation to reliability and stability in data systems. This will show that you are proactive and ready to take ownership of your work.
Highlight Remote Work Experience: Since the position is mostly remote, emphasize any previous remote work experience you have. Discuss how you manage your time and collaborate effectively with a distributed team.
How to prepare for a job interview at Optima Dev
✨Show Your Coding Passion
Since the role emphasizes hands-on coding, be prepared to discuss your recent projects and experiences with coding. Highlight specific examples where you rolled up your sleeves and tackled challenges directly.
✨Demonstrate Your Data Infrastructure Knowledge
Familiarize yourself with the technologies mentioned in the job description, such as PySpark, Azure, and Kubernetes. Be ready to explain how you've used these tools in past projects and how they can contribute to building a more mature data infrastructure.
✨Emphasize Your Problem-Solving Skills
The company is looking for someone who can help improve reliability and stability. Prepare to discuss situations where you've identified issues in data processing or infrastructure and how you resolved them effectively.
✨Express Your Desire for Ownership
With a small team, you'll have the opportunity to take ownership of your work. Convey your enthusiasm for this aspect of the role and share examples of how you've successfully managed projects or initiatives independently in the past.
