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For Companies At a Glance
- Tasks: Build and optimise data pipelines for a brand-new Data Lake.
- Company: Top Asset Manager with a focus on innovation and autonomy.
- Benefits: High performance bonus, 25 days holiday, pension, and private healthcare.
- Why this job: Join a new team and shape the future of data strategy.
- Qualifications: STEM degree and 2+ years in data engineering with strong Python and SQL skills.
- Other info: Flexible hybrid work model and opportunities for career growth.
The predicted salary is between 36000 - 60000 £ per year.
A top Asset Manager is building a new data function from scratch, and they need a sharp Data Engineer to help define and deliver their future data strategy. You'll work directly with senior stakeholders, own your pipelines, and operate in a fast-paced commercial environment. You will be joining a small but growing team!
Hybrid: 3 days in London office, 2 days WFH (flexible when needed).
The Role
- Build and optimise scalable data pipelines for a new Data Lake
- Work with Python, SQL, Spark, AWS, Docker, CI/CD
- Orchestrate workflows using Airflow, Prefect, or Dagster
- Support ETL, API integrations, and high-quality data validation
- Translate business needs into technical solutions with full ownership
What You Need
- STEM degree (Computer Science, Engineering, Maths, etc.)
- 2+ years in data engineering / analytics / software
- Strong Python + SQL
- 2+ years ETL, APIs, CI/CD, Docker, AWS
- Ideally but not essential experience with Airflow / Prefect / Dagster
- Background in Financial Services, FinTech, Insurance, PE/VC, or Banking
Package & Benefits
- High performance bonus
- 25 days holiday
- Pension & private healthcare
- Join at inception - shape the team and tech stack
Data Engineer (Python/SQL) -TOP Asset Manager! in City of London employer: Robert Half
Contact Detail:
Robert Half Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Python/SQL) -TOP Asset Manager! in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at the company you're eyeing. A friendly chat can open doors and give you insider info that could set you apart.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects with Python, SQL, and any cool data pipelines you've built. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills and understanding the company's data strategy. Be ready to discuss how you can contribute to their new data function and make an impact.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Engineer (Python/SQL) -TOP Asset Manager! in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Python, SQL, and any relevant tools like AWS or Docker. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this opportunity and how you can contribute to our new data function. Keep it concise but impactful!
Showcase Your Projects: If you've worked on any cool projects related to data engineering, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve building data pipelines or working with ETL processes.
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 from our team!
How to prepare for a job interview at Robert Half
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and SQL. Brush up on your knowledge of ETL processes, Docker, and AWS, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've translated business needs into technical solutions. Think about challenges you've faced in previous roles and how you overcame them, particularly in a fast-paced environment.
✨Understand the Business Context
Research the asset management industry and understand how data engineering plays a role in it. Being able to speak intelligently about the sector will impress your interviewers and show that you're genuinely interested in the position.
✨Ask Insightful Questions
Prepare thoughtful questions to ask your interviewers about the new data function and team dynamics. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values.
