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- Tasks: Join a small team to build and enhance data infrastructure using cutting-edge tech.
- Company: A growing company with a strong focus on data innovation and reliability.
- 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 with no legacy tech holding you back.
- 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 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 teams in a remote setting.
How to prepare for a job interview at Optima Dev
✨Show Your Technical Skills
Be prepared to discuss your experience with PySpark, Python, Azure, Kubernetes, and Terraform. Bring examples of projects where you've successfully implemented these technologies, especially in data processing and building ingestion pipelines.
✨Demonstrate Problem-Solving Abilities
Since the company is looking to enhance their data infrastructure, be ready to share specific instances where you've tackled challenges in data reliability and stability. Highlight your approach to problem-solving and how you can contribute to their goals.
✨Express Your Passion for Data Engineering
Convey your enthusiasm for data engineering and your desire to influence decisions within a growing team. Discuss what excites you about building a Central Data Hub and establishing a larger data mesh.
✨Prepare Questions About Team Dynamics
Since the data team is small, ask questions that show your interest in collaboration and ownership. Inquire about the team's culture, how they handle decision-making, and what opportunities there are for you to make an impact.
