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For Companies At a Glance
- Tasks: Lead a high-performing data engineering team and shape investment data platforms.
- Company: Join AustralianSuper, a global leader in financial services with a mission to empower retirement.
- Benefits: Enjoy flexible hybrid work, career growth opportunities, and a supportive culture.
- Other info: Foster an inclusive workplace and collaborate with global teams for continuous improvement.
- Why this job: Make a real impact by driving innovation in data engineering at a world-class organisation.
- Qualifications: Proven leadership in data engineering, expertise in Python, Spark, SQL, and cloud platforms.
The predicted salary is between 80000 - 100000 ÂŁ per year.
Join to apply for the Lead Investments Data Engineer role at AustralianSuper. Lead the future of investment data engineering at a global financial powerhouse. Shape data strategy, mentor top talent, and drive innovation in a collaborative, high‑impact environment.
About Us
At AustralianSuper, our mission is clear: to help members achieve their best financial position in retirement. With over £200bn in assets under management, we are one of the world’s largest and most forward‑thinking pension funds. Our London office is central to our global strategy, and we’re seeking a skilled Lead Investment Data Engineer to join our growing team. You’ll play a pivotal role in advancing our data engineering capabilities, ensuring our technology solutions are secure, scalable, and world‑class. We understand that life and work are interconnected. That’s why we offer flexible hybrid working arrangements, allowing you to balance your professional ambitions with personal priorities.
The Opportunity
This is a unique chance to lead and mentor a high‑performing data engineering team, shaping the direction of our investment data platforms. As a technical subject matter expert, you’ll drive the development of advanced data solutions, partner with global colleagues, and ensure our technology aligns with the Fund’s strategic vision. You’ll collaborate closely with teams across Technology Services, Investments, and Investment Operations, delivering robust, high‑performing solutions that support our mission. Your leadership will be instrumental in fostering a culture of excellence, innovation, and continuous improvement.
As the UK Lead Investment Data Engineer, you will:
- Lead the development of a world‑class Data Engineering practice, reimagining processes, tools, and skill sets.
- Mentor and motivate a team of Data Engineers, fostering a collaborative and high‑performing culture.
- Oversee the design and implementation of secure, scalable, and robust data solutions using Azure Synapse and other leading platforms.
- Partner with Senior Data Architects and global stakeholders to deliver on strategic data initiatives.
- Drive continuous improvement, identifying opportunities for process and solution enhancement.
- Represent Technology Data and Analytics in Fund‑wide initiatives and capability roll‑outs.
- Build and maintain strong relationships with internal and external stakeholders, including third‑party vendors.
- Ensure all solutions align with the Fund’s technology standards, vision, and roadmap.
What You’ll Bring
We’re looking for an experienced data engineering leader who combines technical expertise with exceptional people skills. You thrive in a global, fast‑paced environment, bringing both strategic vision and a hands‑on approach. To excel in this role, you’ll need:
- Proven experience leading and mentoring data engineering teams in complex, enterprise environments.
- Advanced expertise in Python, Spark, SQL, and related languages.
- Deep experience with Azure Synapse (preferred), AWS Redshift, or Google Cloud.
- Strong background in Financial Services, ideally with Investments Management experience.
- Demonstrated ability to design and build advanced data pipelines and data warehouses at scale.
- Experience with DevOps practices, including CI/CD pipelines using Azure DevOps.
- Excellent communication, stakeholder management, and negotiation skills.
- A growth mindset, resilience, and adaptability to new technologies and challenges.
- Commitment to fostering diversity and an inclusive team culture.
Why Join Us?
At AustralianSuper, we are committed to creating an inclusive workplace where every individual feels empowered to thrive. In addition to contributing to our members’ success, you’ll enjoy:
- A flexible hybrid work environment designed to suit your lifestyle.
- Opportunities for career development and growth within a global organisation.
- The chance to make a real impact, building a world‑class data engineering function.
- A supportive, collaborative culture that values innovation and continuous improvement.
What's Next?
If you’re ready to take on a leadership role where you can innovate, collaborate, and shape the future of investment data engineering, we’d love to hear from you. At AustralianSuper, we are dedicated to ensuring an inclusive recruitment process. If you require adjustments, please let us know. Shape the future. Lead with purpose. Grow with AustralianSuper. Progress, powered by purpose.
Lead Investments Data Engineer employer: AustralianSuper
Contact Detail:
AustralianSuper Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Investments Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at AustralianSuper on LinkedIn. Ask them about their experiences and any tips they might have for landing the Lead Investments Data Engineer role. Personal connections can give you an edge!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss Python, Spark, and Azure Synapse. We want to see how you can lead and innovate in data engineering, so be ready to showcase your expertise!
✨Tip Number 3
Show off your leadership skills! Think of examples where you've mentored teams or driven projects to success. At AustralianSuper, they value collaboration and high performance, so highlight how you can contribute to that culture.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining the team at AustralianSuper and contributing to their mission.
We think you need these skills to ace Lead Investments Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Lead Investments Data Engineer role. Highlight your leadership experience and technical expertise in data engineering, especially with Azure Synapse and Python.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our mission at AustralianSuper. Share specific examples of your past achievements and how they relate to the role.
Showcase Your Leadership Skills: Since this role involves mentoring and leading a team, be sure to highlight your experience in guiding others. Talk about how you've fostered collaboration and innovation in previous roles.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. This way, we can ensure your application gets the attention it deserves!
How to prepare for a job interview at AustralianSuper
✨Know Your Data Engineering Stuff
Make sure you brush up on your technical skills, especially in Python, Spark, and SQL. Be ready to discuss your experience with Azure Synapse or similar platforms, as this role is all about leading data engineering practices.
✨Show Off Your Leadership Skills
Prepare examples of how you've successfully led and mentored teams in the past. AustralianSuper values collaboration and high performance, so highlight your ability to foster a positive team culture and drive innovation.
✨Understand Their Mission
Familiarise yourself with AustralianSuper's mission to help members achieve their best financial position in retirement. Be prepared to discuss how your work can contribute to this goal and align with their strategic vision.
✨Ask Insightful Questions
Come armed with questions that show your interest in the role and the company. Inquire about their current data initiatives, team dynamics, and how they measure success in their data engineering practice. This shows you're genuinely interested and engaged.