At a Glance
- Tasks: Build a cutting-edge investment data platform and automate processes for optimised reporting.
- Company: Join Morson Human Resources Limited, a leader in innovative data solutions.
- Benefits: Fixed term contract with potential extension, competitive pay, and professional growth opportunities.
- Why this job: Make a real impact in the finance sector with your Python and Databricks skills.
- Qualifications: 3-5 years in data engineering, strong Python skills, and Databricks experience.
The predicted salary is between 60000 - 80000 £ per year.
Morson Human Resources Limited is seeking a Data Engineer to build a new centralized investment data platform. The role involves defining and building data architecture, automating processes, and working with teams for optimized reporting capabilities.
Candidates should have 3-5 years in data engineering, strong Python skills, and experience with the Databricks ecosystem. This is a Fixed Term Contract for 12 months with potential to extend.
Investment Data Platform Engineer | Python & Databricks employer: Morson Human Resources Limited
Morson Human Resources Limited is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. With a focus on employee growth, we provide opportunities for professional development and skill enhancement, particularly in cutting-edge technologies like Python and Databricks. Located in a vibrant area, our team enjoys a supportive environment that values work-life balance and encourages meaningful contributions to impactful projects.
Contact Details:
Morson Human Resources Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Investment Data Platform Engineer | Python & Databricks
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with investment data platforms. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and any work you've done with Databricks. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. We recommend practising coding challenges that focus on Python and data architecture to really impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for talented individuals like you to join our team.
We think you need these skills to ace Investment Data Platform Engineer | Python & Databricks
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data engineering, especially with Python and Databricks. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about building a centralized investment data platform and how your background makes you the perfect fit for this role. Let us feel your passion!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in data architecture or automation. We love seeing candidates who can think critically and come up with innovative solutions!
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. Plus, we love seeing applications come in through our own channels!
How to prepare for a job interview at Morson Human Resources Limited
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python in detail, including specific projects where you've used it to solve data engineering challenges.
✨Familiarise Yourself with Databricks
Since the role involves working with the Databricks ecosystem, take some time to understand its features and functionalities. Be prepared to explain how you've used Databricks in past projects and how it can optimise data processing.
✨Understand Data Architecture Principles
Get a solid grasp of data architecture concepts. Be ready to discuss how you would approach building a centralized investment data platform, including the tools and methodologies you would use to ensure efficient data flow and storage.
✨Showcase Your Teamwork Skills
Collaboration is key in this role, so think of examples where you've worked effectively with teams. Be prepared to share how you’ve contributed to optimising reporting capabilities and how you handle feedback and communication within a team setting.
