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: Engage with senior stakeholders and drive next-generation data solutions.
- 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 employer: Morson Edge (Financial Services)
Join a leading pensions and life insurance specialist that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact the development of a cutting-edge investment data platform. With a focus on employee growth, you will have opportunities to enhance your skills in data engineering while working alongside experienced professionals in a supportive environment. Located in a vibrant area, this role not only promises meaningful work but also the chance to be part of a transformative project that automates and optimises data processes across the organisation.
Contact Detail:
Morson Edge (Financial Services) Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Fixed Term Contract
✨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 Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer - Fixed Term Contract
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, Databricks, and any relevant data engineering projects. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about building a new investment data platform and how your background in financial services makes you a great fit for us.
Showcase Your Communication Skills:Since this role involves working with senior stakeholders, make sure to highlight your ability to communicate complex ideas clearly. We love candidates who can engage and influence others effectively!
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 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 specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Understand the Business Context
Since this role is within the pensions and life insurance sector, it’s crucial to understand how data engineering impacts investment decisions. Research the company’s current data processes and think about how you can contribute to automating and optimising them.
✨Communicate Clearly and Confidently
You’ll be working with senior stakeholders, so practice explaining complex technical concepts in simple terms. Prepare examples of how you've successfully communicated with non-technical colleagues in the past to showcase your ability to engage and influence.
✨Show Initiative and Problem-Solving Skills
Be prepared to discuss times when you took the initiative to suggest better solutions or tackle additional tasks. This will demonstrate your proactive approach and ability to drive improvements in data architecture and reporting capabilities.
