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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 Milton Keynes employer: Immersum
Contact Detail:
Immersum Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Milton Keynes
✨Tip Number 1
Network like a pro! Reach out to people in the financial services sector, especially those working with data. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, AWS, or any of the tech mentioned in the job description. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've built and maintained data pipelines or worked with stakeholders. Practice common interview questions and think about how you can demonstrate your problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who want to make an impact in the data engineering space. So, hit that apply button and let’s get started!
We think you need these skills to ace Senior Data Engineer in Milton Keynes
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your expertise in Python, AWS, and any relevant data engineering tools to show us you're the right fit for the role.
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. Share specific examples of projects you've worked on that relate to building scalable data lakes or pipelines.
Showcase Your Technical Skills: Don’t shy away from listing your technical proficiencies! Mention your experience with CI/CD, Terraform, and any other relevant technologies. We want to see how you can contribute to our tech stack right from the get-go.
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 regarding your application status.
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 discuss specific challenges you've faced in previous roles and how you overcame them. This is especially important in a fast-paced environment like financial services, where data integrity and efficiency are crucial.
✨Understand the Business Context
Familiarise yourself with the company’s role in the securities trading sector. Being able to connect your technical skills to their business objectives will show that you’re not just a techie, but someone who understands how data drives success.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and future goals of the data engineering division. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
