At a Glance
- Tasks: Build a cutting-edge investment data platform using Python and Databricks.
- Company: Leading pensions and life insurance specialist with a focus on innovation.
- Benefits: 12-month fixed term contract with potential for extension.
- Other info: Collaborate with senior stakeholders in a dynamic financial services environment.
- Why this job: Make a real impact by automating data processes and optimising reporting capabilities.
- Qualifications: 3-5 years in data engineering with strong Python skills and Databricks experience.
The predicted salary is between 50000 - 60000 € per year.
A Data Engineer with strong skills in Python and the Databricks ecosystem is sought after by a leading pensions and life insurance specialist to help drive the build of a new centralised investment data platform. The business is currently reliant on very manual data collection processes and are embarking on a major project to implement a new platform which will automate data ingestion, cleaning/quality control and distribution across their various business units: Risk, Actuarial, Investment.
The key part of this role will involve working with senior stakeholders and wider data engineering teams to define and build the structure that will be used to report on asset data, feeding directly into their investment portfolio. You will be responsible for designing and building the data architecture, automating processes, defining what reports and outputs look like, and working with the various teams to finetune/optimise data analysis and reporting capabilities within this new platform.
To be successful, you will demonstrate:
- 3 – 5 years in data engineering, with strong Python coding skills
- An in-depth understanding of the Databricks ecosystem and building mature automated data-centric services (Snowflake experience will also be considered)
- A clear and confident communicator with the ability to engage and influence both senior stakeholders and other technical colleagues
- Ability to take the initiative, suggesting alternative/better solutions and pro-actively seeking out additional tasks
- Ideally a background within Financial Services – Banking, Investment Management, Insurance
If the above sounds like you and you would be excited to help drive a next-generation investment data platform build out, then please do apply! Please note, this is being offered on a Fixed Term Contract (FTC) basis for a period of 12 months (potential to extend), and visa sponsorship is not on offer.
Data Engineer - Fixed Term Contract in London employer: Morson Edge (Financial Services)
Join a leading pensions and life insurance specialist that values innovation and collaboration, offering a dynamic work environment where your contributions directly impact the development of a cutting-edge investment data platform. With a strong focus on employee growth, you will have opportunities to enhance your skills in data engineering while working alongside experienced professionals in the financial services sector. Enjoy a culture that encourages initiative and creativity, making it an excellent place for those seeking meaningful and rewarding employment.
Contact Detail:
Morson Edge (Financial Services) Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Fixed Term Contract in London
✨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 a CV just 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, Databricks, or Snowflake. This will give potential employers a taste of what you can do.
✨Ace the Interview
Prepare for interviews by brushing up on common data engineering questions and scenarios. Be ready to discuss how you've tackled challenges in past roles, especially around automation and data architecture. Confidence is key!
✨Apply Through Us!
We’ve got your back! Make sure to apply through our website for the best chance at landing that Data Engineer role. We’re here to help you every step of the way, so don’t hesitate to reach out if you need any tips!
We think you need these skills to ace Data Engineer - Fixed Term Contract in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your Python and Databricks experience in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your technical prowess!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. Mention your experience in data engineering and any relevant projects you've worked on that relate to investment data platforms. It helps us see why you’re the perfect fit!
Communicate Clearly:Since this role involves working with senior stakeholders, make sure your application reflects your communication skills. Use clear language and structure your thoughts well, so we can easily understand your ideas and experiences.
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’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Morson Edge (Financial Services)
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with the Databricks ecosystem. Be ready to discuss how you've used these technologies in past projects, especially in automating data processes or building data architectures.
✨Showcase Your Communication Skills
Since you'll be working with senior stakeholders, practice explaining complex technical concepts in simple terms. Think of examples where you've successfully communicated with non-technical colleagues or influenced decisions.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems related to data engineering. Prepare by thinking through how you would approach automating data ingestion or improving data quality control in a real-world scenario.
✨Demonstrate Initiative and Problem-Solving
Be ready to share instances where you've taken the initiative to suggest better solutions or optimised processes. Highlight your proactive nature and how it has positively impacted your previous teams or projects.
