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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, AWS, and data engineering; eagerness to learn new tech.
- Other info: Opportunity to lead the Data Engineering division and work with industry experts.
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 Cardiff employer: Immersum
Contact Detail:
Immersum Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Cardiff
✨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 asking for informational interviews – it’s all about making connections that could lead to job opportunities.
✨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. Having tangible examples of your work can really set you apart during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of data lakes and pipelines. Practice coding challenges related to Python and AWS, and be ready to discuss how you’ve tackled similar problems in past roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search – it shows you’re serious about joining our team!
We think you need these skills to ace Senior Data Engineer in Cardiff
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 that align with what we do at StudySmarter.
Showcase Your Technical Skills: Don’t forget to mention your familiarity with CI/CD, Terraform, and other tools mentioned in the job description. We want to see how you’ve used these technologies in real-world scenarios!
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 previous roles and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, especially when it comes to building and maintaining data processes.
✨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 broader market landscape to demonstrate your interest and insight during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions that show your enthusiasm for the role and the company. Inquire about their current data challenges, future projects, or how they envision the Data Engineering division evolving. This not only shows your interest but also helps you gauge if the company is the right fit for you.