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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 package with career growth opportunities.
- Why this job: Join a cutting-edge team and shape the future of data in finance.
- Qualifications: Experience in Python and cloud technologies; eagerness to learn CI/CD tools.
- Other info: Opportunity to lead the Data Engineering division in a rapidly growing field.
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 Stockport employer: Immersum
Contact Detail:
Immersum Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Stockport
✨Tip Number 1
Network like a pro! Reach out to people in the financial services sector, especially those working with data. Use LinkedIn to connect and engage with them; you never know who might have a lead on that Senior Data Engineer role.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub showcasing your projects with Python, AWS, or any of the tech mentioned, make sure to highlight it during interviews. It’s a great way to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your knowledge of data lakes, pipelines, and CI/CD processes. Practise explaining complex concepts simply, as you’ll need to communicate effectively with stakeholders across the business.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you to join our team. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Data Engineer in Stockport
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 right fit!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our team. Share specific examples of your past projects and how they relate to the role.
Showcase Your Technical Skills: Don’t just list your technical skills; demonstrate them! If you've worked with CI/CD, Terraform, or any of the other tech mentioned, give us a brief overview of your experience and what you achieved.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates!
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 data engineering and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it clear how your contributions made a difference.
✨Understand the Business Context
Since this role is within financial services, it’s crucial to understand how data impacts decision-making in this sector. Familiarise yourself with the company’s products and the types of clients they serve, so you can speak intelligently about how your work will support their goals.
✨Ask Insightful Questions
Prepare thoughtful questions to ask at the end of the interview. This could include inquiries about the team dynamics, the company’s data strategy, or how success is measured in the role. It shows your genuine interest and helps you assess if the company is the right fit for you.