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
- Experience with the Databricks ecosystem
This is a Fixed Term Contract for 12 months with potential to extend.
Investment Data Platform Engineer | Python & Databricks in England 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 in a supportive environment. Located in a vibrant area, our team enjoys a range of benefits, including flexible working arrangements and the chance to contribute to impactful projects within the investment sector.
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 in England
✨Tip Number 1
Network like a pro! Reach out to folks in the investment data space on LinkedIn or at industry events. A friendly chat can sometimes lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and any work 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 practicing coding challenges and discussing your past projects to demonstrate your expertise.
✨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!
We think you need these skills to ace Investment Data Platform Engineer | Python & Databricks in England
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your Python expertise in your application. We want to see how you've used it in past projects, especially in data engineering contexts. Don't hold back on showcasing any cool scripts or tools you've built!
Talk About Databricks Experience:If you've worked with the Databricks ecosystem, let us know! Share specific examples of how you've leveraged it to build data architecture or automate processes. This will help us understand your hands-on experience and how you can contribute to our team.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your experience and skills. Avoid fluff and focus on what makes you a great fit for the role!
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 gives you a chance to explore more about us and what we do!
How to prepare for a job interview at Morson Human Resources Limited
✨Know Your Data Architecture
Make sure you understand the fundamentals of data architecture, especially in relation to investment data platforms. Brush up on your knowledge of how to define and build these architectures, as well as the specific challenges that come with them.
✨Showcase Your Python Skills
Prepare to discuss your Python experience in detail. Be ready to share examples of projects where you've used Python to automate processes or improve data handling. This will demonstrate your technical proficiency and problem-solving abilities.
✨Familiarise Yourself with Databricks
Since the role involves working within the Databricks ecosystem, it’s crucial to have a solid understanding of its features and functionalities. Consider doing a quick project or tutorial to refresh your skills and be prepared to discuss how you've used Databricks in past roles.
✨Collaborative Mindset
This position requires working with various teams for optimised reporting capabilities. Be ready to talk about your experience collaborating with others, how you handle feedback, and any tools you’ve used to facilitate teamwork in data engineering projects.
