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- Tasks: Lead the design and optimisation of data solutions using SQL and Python.
- Company: Join a leading asset manager expanding its data capabilities.
- Benefits: Competitive salary, career growth, and a chance to shape data strategies.
- Why this job: Make a real impact on advanced analytics and reporting in a dynamic environment.
- Qualifications: 5-9 years in data engineering with strong SQL, Python, and C# skills.
- Other info: Collaborate with diverse teams and drive improvements in data quality.
The predicted salary is between 43200 - 72000 £ per year.
We are partnering with a leading asset manager that is significantly expanding its data capabilities and looking to hire a Senior Data Engineer to help lead the development and optimisation of their modern data platform. This role is ideal for someone with 5–9 years of hands-on experience in data engineering, strong expertise in SQL and Python, and a proven track record of designing scalable, high-quality data products and pipelines across cloud-based environments. You will be comfortable taking ownership of complex data solutions, guiding best practices, and collaborating closely with both technical teams and business stakeholders.
Key responsibilities:
- Lead the design, development, and optimisation of end-to-end data solutions using SQL, Python, and robust data transformation practices
- Play a key role in transitioning legacy datasets into Snowflake and building scalable, cloud-native Python data pipelines that power analytics and reporting
- Take ownership of the company’s Snowflake data platform, ensuring performance, reliability, and adherence to best practices in data engineering
- Drive improvements across existing SQL processes and C# workflows, ensuring high data quality and operational efficiency
- Collaborate with data architects, analysts, and business stakeholders to translate complex requirements into scalable and maintainable data products
- Contribute to data governance initiatives and platform-wide enhancements as the company’s data ecosystem evolves
We are looking for:
- 5–9 years of professional experience in data engineering, with strong SQL, Python, and C# skills
- Hands-on experience designing, building, and maintaining complex data pipelines and data products
- Solid understanding of cloud-based data platforms, with exposure to Snowflake
- Experience working in AWS or other cloud environments
- Deep understanding of data quality, governance, and operational best practices
- Strong communication skills, with the ability to influence both technical and non-technical stakeholders
This is an exciting opportunity to join an established asset manager and take a leading role in shaping the company’s Snowflake-centric data platform, helping to drive advanced analytics and reporting capabilities across the organisation.
To apply, please send your CV in a word format to mailto:quantresearch@octaviusfinance.com
Senior Data Engineer – Asset Manager – London employer: Octavius Finance
Contact Detail:
Octavius Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer – Asset Manager – London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work in asset management. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data projects, especially those involving SQL and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Snowflake and cloud environments, and don’t forget to highlight your ability to collaborate with both tech and business teams.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Engineer – Asset Manager – London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with SQL and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Showcase Your Projects: Include specific examples of data pipelines or products you've built, particularly in cloud environments like Snowflake. We love seeing real-world applications of your skills, so make it clear how you’ve contributed to past successes.
Keep It Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon unless it's necessary. We appreciate a well-structured application that’s easy to read and gets straight to the point.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you’re considered for the role. Don’t miss out on this opportunity!
How to prepare for a job interview at Octavius Finance
✨Know Your Tech Inside Out
Make sure you brush up on your SQL, Python, and C#. Be ready to discuss specific projects where you've designed and built data pipelines. Prepare to explain your thought process and the challenges you faced, as this will show your hands-on experience.
✨Showcase Your Cloud Knowledge
Since the role involves working with Snowflake and AWS, be prepared to talk about your experience with cloud-based data platforms. Highlight any specific projects where you've transitioned legacy datasets or built scalable solutions in a cloud environment.
✨Communicate Clearly
Strong communication skills are key for this role. Practice explaining complex technical concepts in simple terms, as you'll need to collaborate with both technical teams and business stakeholders. Think of examples where you've successfully influenced decisions or guided best practices.
✨Demonstrate Ownership and Initiative
The company is looking for someone who can take ownership of their data platform. Prepare to discuss instances where you've led projects or initiatives, particularly those that improved data quality or operational efficiency. This will show that you're proactive and ready to make an impact.
