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- Tasks: Solve business problems using data and improve the data platform's reliability and freshness.
- Company: Established London-based asset management firm with a serious approach to finance.
- Benefits: Very competitive salary, bonus structure, and hybrid work model.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact on data-driven solutions.
- Qualifications: Experience as a Data Engineer with strong Python and SQL skills.
The predicted salary is between 60000 - 80000 £ per year.
We are working with a London-based investment firm with deep roots in hedge fund and institutional finance. They're not a flashy startup; they're a serious shop, running serious capital, and they want serious engineering to match. We're looking for someone with strong fundamentals who is comfortable owning production systems, improving reliability and freshness, and building new capabilities, with priorities shifting based on business needs.
However, this is not a narrowly defined "build what you're told" role. We need someone self-motivated and proactive, able to identify business problems, map data architecture, and drive solutions end-to-end.
Key Responsibilities
- Solve business problems with data; work with ops, research, and investment teams to identify pain points and deliver practical solutions, not just tickets.
- Improve the data platform end-to-end: ingestion, transformation, storage, serving, observability, and reliability.
- Optimise data freshness and reliability: reduce latency, eliminate stale data, and improve alerting so failures are not silent.
Tech Stack
- SQL
- Python
- AWS
- Terraform
What We’re Looking For
- Experience as a Data Engineer or in a similar role.
- Proven ability to identify business problems and deliver end-to-end data solutions, not just implement specifications.
- Strong Python and SQL skills.
- Experience with AWS services.
- Clear communicator with a collaborative approach.
Very competitive salaries and bonus structure. Get in touch if interested.
Data Engineer in Slough employer: Albert Bow
Contact Detail:
Albert Bow Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Slough
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those that highlight your problem-solving abilities. 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 your technical skills and understanding the company’s tech stack. Be ready to discuss how you've tackled real-world data challenges and how you can contribute to their team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer in Slough
Some tips for your application 🫡
Show Your Data Skills: Make sure to highlight your experience with SQL and Python in your application. We want to see how you've used these skills to solve real business problems, so don’t hold back on the details!
Be Proactive: We love self-motivated folks! In your application, share examples of how you've identified issues and driven solutions in previous roles. This will show us that you’re not just a 'build what you're told' kind of person.
Communicate Clearly: Since we value collaboration, make sure your application reflects your communication style. Use clear and concise language to explain your experiences and how you’ve worked with different teams.
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 us!
How to prepare for a job interview at Albert Bow
✨Know Your Tech Stack
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these technologies in past projects, especially in relation to data ingestion and transformation. Familiarity with AWS and Terraform will also give you an edge.
✨Show Your Problem-Solving Skills
Prepare examples of how you've identified business problems and delivered end-to-end data solutions. Think about specific challenges you've faced and how you approached them. This role requires a proactive mindset, so demonstrate your ability to drive solutions rather than just follow instructions.
✨Communicate Clearly
Since this position involves collaboration with various teams, practice articulating your thoughts clearly. Be ready to explain complex technical concepts in simple terms. Good communication can set you apart, especially in a serious environment like this asset management firm.
✨Understand the Business Context
Research the firm and its operations. Understand their investment strategies and how data plays a role in decision-making. Showing that you grasp the bigger picture will highlight your interest in the role and your ability to align your work with business needs.