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- Tasks: Build and maintain scalable Data Lakes and pipelines in a dynamic environment.
- Company: Leading SaaS platform in financial services with over 20 years of experience.
- Benefits: Competitive salary, bonus, and benefits with opportunities for career growth.
- Why this job: Join a cutting-edge team and shape the future of data in finance.
- Qualifications: Experience in Python, AWS, and data engineering; eagerness to learn new tech.
- Other info: Exciting opportunity to lead in a growing Data Engineering division.
The predicted salary is between 75000 - 85000 £ per year.
Location: London - 2x per month
Salary range: £75,000-£85,000 + 10% bonus + benefits
Purpose: Build and maintain large, scalable Data Lakes, processes and pipelines
Tech: Python, PySpark, AWS, Iceberg/ Kafka, Spark/Glue, CI/CD
Industry: Financial services / securities trading
Immersum continue to support a leading SaaS securities trading platform, who are hiring a Data Engineer to join a wider tech team of 25. You will be working on a blend of new and existing projects working with the latest tech in a greenfield large, highly scalable data lake environment.
The Company: For the past 20+ years they have been a leading SaaS platform providing a full product suite of services to the securities trading sector. They serve in excess of 150 financial institutions and support the majority of major global banks. As they continue to grow their services to their customers they have an exciting opportunity for their Data Engineer to join the company to help grow and shape this function in the long term.
The Role: The successful candidate will work across these areas:
- Owning the build and maintenance of their Lake house and being the 'go-to' Data person in the business.
- Working with stakeholders from across the business showing the possibilities that Data provides.
- Build and manage new and existing pipelines as new products and functions become available on the platform.
- Be comfortable or show an interest to learn CI/CD, IaC and Infra tooling using Terraform, Ansible and Jenkins whilst automating everything with Python.
Tech (experience in any listed is advantageous):
- Python
- Cloud: AWS
- Lake house: Apache Spark or AWS Glue
- Cloud Native storage: Iceberg, RDS, RedShift, Kafka
- IaC: Terraform, Ansible
- CI/CD: Jenkins, Gitlab
- Other platforms such as Databricks or Snowflake will be considered.
You will have a fantastic opportunity to lead the Data Engineering division whether you decide to take your career path in leadership or IC, both routes are equally valuable for this role. You will be joining at a time when Data is in its infancy and helping to scale and grow the Data platform and processes to better serve the business. You will be working with stakeholders across the business who are experts in their fields and you will be supporting them as the Data expert.
If this looks of interest please click apply to find out more!
At this time sponsorship is not on offer.
Senior Data Engineer in Exeter employer: Immersum
Contact Detail:
Immersum Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Exeter
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data engineering. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving Python, AWS, or any of the tech mentioned in the job description. This will give you an edge and show potential employers what you can really do.
✨Tailor Your Approach
When reaching out to companies, make sure to tailor your message to highlight how your skills align with their needs. Mention specific technologies like PySpark or CI/CD practices that you’re familiar with, and how they can benefit their data initiatives.
✨Apply Through Our Website
We encourage you to apply directly through our website for the best chance at landing that Senior Data Engineer role. It shows you're serious and gives us a chance to see your application in the best light!
We think you need these skills to ace Senior Data Engineer in Exeter
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your experience with Python, AWS, and any relevant data technologies to show us you’re the perfect fit!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about data engineering and how your background aligns with our needs. Be specific about your achievements and how they relate to building scalable data lakes.
Showcase Your Projects: If you've worked on any relevant projects, whether personal or professional, make sure to mention them! We love seeing real-world applications of your skills, especially in CI/CD and data pipelines.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Immersum
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, AWS, and Apache Spark. Brush up on your knowledge of data lakes and pipelines, as you’ll likely be asked to discuss how you’ve used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in data engineering and how you overcame them. This role involves working with stakeholders, so demonstrating your ability to solve problems collaboratively will set you apart.
✨Understand the Business Context
Familiarise yourself with the financial services industry and the company’s role within it. Being able to discuss how data impacts decision-making in securities trading will show that you’re not just a tech whiz but also understand the bigger picture.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and future projects. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals, especially in a growing data environment.
