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- Tasks: Build a centralised investment data platform using Python and Databricks.
- Company: Leading pensions and life insurance specialist with a focus on innovation.
- Benefits: 12-month contract, competitive pay, and opportunities for skill development.
- Other info: Exciting chance to work in a fast-paced environment with growth potential.
- Why this job: Join a dynamic team and shape the future of investment data.
- Qualifications: Strong Python skills and experience with Databricks required.
The predicted salary is between 60000 - 80000 £ 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.
Key requirements include:
- Python
- Databricks
- Snowflake
- Azure
- Data Engineering
- Data Architecture
- Data Analytics
- Process Automation
- Actuarial
- Risk
- Investment Data
This is a 12-month Fixed Term Contract.
Data Engineer - Python, DataBricks, Investment Data Platform - FTC in London employer: Morson Edge
Contact Detail:
Morson Edge Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Python, DataBricks, Investment Data Platform - FTC in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python, Databricks, and any other relevant tech. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when tackling problems, as this is often just as important as the right answer.
✨Tip Number 4
Don’t forget to 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 take that extra step!
We think you need these skills to ace Data Engineer - Python, DataBricks, Investment Data Platform - FTC in London
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 job description, 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 passionate about data engineering and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Relevant Projects: If you've worked on any projects involving data architecture or analytics, make sure to mention them. We’re interested in seeing how you’ve applied your skills in real-world scenarios, especially in areas like process automation and investment data.
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 – just follow the prompts and you’ll be all set!
How to prepare for a job interview at Morson Edge
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Databricks, and Snowflake. Brush up on your knowledge of Azure and data engineering principles. Being able to discuss how you've used these technologies in past projects will show that you're not just familiar with them, but that you can apply them effectively.
✨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. This will help demonstrate your analytical thinking and ability to tackle complex problems.
✨Understand the Business Context
Familiarise yourself with the pensions and life insurance industry, especially how data plays a role in investment decisions. Showing that you understand the business implications of your work will set you apart from other candidates who may focus solely on technical skills.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data architecture and future projects. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals. Questions about team dynamics or the tools they use can also spark engaging conversations.