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- Tasks: Lead and mentor a high-performing data engineering team in investment data platforms.
- Company: Global financial powerhouse based in London with a collaborative culture.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Flexible environment with a focus on innovation and career development.
- Why this job: Make a significant impact in the financial services sector through innovative data engineering.
- Qualifications: Extensive experience in data engineering, Python, Azure Synapse, and financial services background.
The predicted salary is between 80000 - 100000 £ per year.
A global financial powerhouse in London seeks a Lead Investments Data Engineer to lead and mentor a high‑performing data engineering team. You will shape the direction of investment data platforms while driving innovation in a collaborative and flexible hybrid environment.
The ideal candidate will have extensive experience in data engineering, advanced skills in Python and Azure Synapse, and a strong background in Financial Services. Join us to make a significant impact in our data engineering function.
Investments Data Engineering Leader (Hybrid) employer: AustralianSuper
Contact Detail:
AustralianSuper Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Investments Data Engineering Leader (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the financial services sector on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those using Python and Azure Synapse. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering challenges in finance. We recommend practising problem-solving scenarios that highlight your leadership and mentoring abilities.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Investments Data Engineering Leader (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with Python and Azure Synapse. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements in Financial Services!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about leading a data engineering team and how you can drive innovation in our investment data platforms. Let us know what makes you the perfect fit for this hybrid role.
Showcase Your Leadership Skills: As a Lead Investments Data Engineer, we’re looking for someone who can mentor and inspire a team. Highlight any previous leadership experiences or projects where you’ve successfully guided others. We want to see your collaborative spirit!
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 this exciting opportunity. Don’t miss out on making a significant impact with us!
How to prepare for a job interview at AustralianSuper
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering skills, especially in Python and Azure Synapse. Be ready to discuss specific projects you've worked on and how you've used these technologies to solve real-world problems in financial services.
✨Showcase Your Leadership Skills
As a Lead Investments Data Engineer, you'll be expected to mentor your team. Prepare examples of how you've successfully led teams in the past, focusing on collaboration and innovation. Highlight any experiences where you’ve driven change or improved processes.
✨Understand the Financial Landscape
Familiarise yourself with current trends and challenges in the financial services sector. Being able to discuss how data engineering can address these issues will show that you’re not just technically savvy but also understand the business context.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data platforms and their vision for the future. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values, especially in a hybrid work environment.