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- Tasks: Join a small team to build and enhance data infrastructure with cutting-edge tech.
- Company: A growing company focused on developing a robust data ecosystem from scratch.
- Benefits: Enjoy 95% remote work, competitive salary, and the chance to shape your role.
- Why this job: Make a real impact in a dynamic environment while working with modern tools.
- 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 tools like Databricks, PySpark, and Python. Highlight any projects where you've built or improved data pipelines, as this will resonate well with the team looking for someone who can roll up their sleeves.
✨Tip Number 2
Since the role involves establishing a Central Data Hub and a larger data mesh, be prepared to discuss your previous experiences with data architecture and how you've contributed to similar projects. This will demonstrate your ability to influence decisions and take ownership.
✨Tip Number 3
Familiarize yourself with the technologies mentioned in the job description, especially Azure, Kubernetes, and Terraform. If you have any relevant certifications or completed projects using these tools, make sure to mention them during your conversations.
✨Tip Number 4
Since the team is small, emphasize your collaborative skills and your ability to work independently. Share examples of how you've successfully worked in small teams or taken initiative in past roles to show that you're a good fit for their dynamic 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 building data infrastructure from scratch and your desire to influence decisions. Mention how your previous experiences align with the company's goals of reliability and stability.
Showcase Your Problem-Solving Skills: Provide examples in your application that showcase your ability to tackle challenges in data engineering. Highlight any projects where you improved data processing or contributed to a data hub or mesh.
Highlight Remote Work Experience: Since the position is mostly remote, emphasize any previous remote work experience you have. Discuss how you effectively communicate and collaborate with teams in a remote setting.
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 demonstrate your coding skills. Share specific examples of how you've tackled challenges in data processing or infrastructure.
✨Understand Their Tech Stack
Familiarize yourself with the technologies mentioned in the job description, such as PySpark, Python, Azure, Kubernetes, and Terraform. Be ready to discuss your experience with these tools and how you can leverage them to enhance their data infrastructure.
✨Highlight Your Problem-Solving Skills
The company is looking for someone who can help improve reliability and stability. Prepare to share examples of how you've solved complex problems in previous roles, particularly in data engineering or DevOps contexts.
✨Emphasize Team Collaboration
With a small data team, collaboration will be key. Discuss your experience working in small teams and how you’ve contributed to a collaborative environment. Highlight any leadership or mentorship roles you've taken on, even if informally.
