At a Glance
- Tasks: Design and develop scalable Python data services for finance teams.
- Company: Join a leading financial services firm with a high-performing data engineering team.
- Benefits: Competitive pay, flexible hybrid work, and opportunities for professional growth.
- Other info: Dynamic environment with excellent career advancement potential.
- Why this job: Make an impact in finance by building innovative data solutions.
- Qualifications: Strong Python skills and experience with data pipelines and cloud platforms.
The predicted salary is between 60000 - 80000 £ per year.
Python Data Engineer
3-6 Months initial contract London/Hybrid - 1-2 days per week on site £Negotiable rate (Inside IR35)
We are seeking an experienced Python Data Engineer to join a high-performing data engineering team, building and enhancing centralised data services used by quantitative researchers, traders and front-office teams.
The ideal candidate will have experience in Hedge funds, Asset management or Investment banks.
As well as a good understanding of Quant engineering/Quant data groups, Fixed income, rates, FX, macro, trading or pricing environments.
This is a hands‑on engineering role focused on designing, developing and maintaining scalable data platforms, pipelines and services that deliver high‑quality, validated investment data.
You'll work closely with technical stakeholders to improve data quality, build reusable data capabilities and support business‑critical analytics.
Key Responsibilities
- Design, develop and enhance Python-based data services used by front‑office and quantitative teams.
- Build scalable data pipelines and services to ingest, transform and deliver high-quality datasets.
- Develop robust data validation frameworks to improve the accuracy and reliability of derived data.
- Work closely with quantitative researchers, traders and engineering teams to understand data requirements and expected outputs.
- Cleanse, filter and validate raw datasets to ensure data quality before they are consumed by downstream users and applications.
- Support the centralisation of data services, reducing duplication and improving consistency across multiple data sources.
- Contribute to the design and implementation of scalable, reusable data architecture rather than tactical point solutions.
- Build and maintain APIs and data platforms capable of serving large-scale financial datasets.
- Take ownership of solutions throughout the full software development lifecycle, from design and development through testing, deployment and production support.
- Promote engineering best practices, including automated testing, version control and CI/CD.
- Deploy and maintain applications within cloud-native and containerised environments.
- Collaborate with cross-functional teams to continuously improve data platforms supporting pricing, risk, analytics and investment processes.
- Required Skills & Experience
- Strong commercial Python software engineering experience.
- Experience building scalable data services, APIs, data pipelines or data platforms.
- Solid software engineering practices including automated testing, Git and CI/CD.
- Experience working with cloud platforms, ideally AWS.
- Experience with Docker or other containerisation technologies.
- Knowledge of Snowflake and No SQL databases such as Mongo DB.
- Experience working with large-scale datasets and data transformation processes.
- Strong stakeholder engagement skills with the ability to work alongside technical users and engineering teams.
Desirable Experience
- Experience within financial services.
- Exposure to front‑office, quantitative research, trading, market data, pricing, risk or investment data environments.
- Experience developing high-performance data solutions in fast-paced organisations.
This is an excellent opportunity to join a technically strong team delivering modern data engineering solutions within a challenging and rewarding environment.
#J-18808-Ljbffr
Python Data Engineer in London employer: Advanced Resource Managers Ltd
At Advanced Resource Managers Ltd, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation. Our Suffolk location provides a unique opportunity to engage in significant infrastructure projects while benefiting from professional growth through continuous training and development. We value our employees by providing competitive benefits and a supportive environment that encourages leadership and impactful contributions to major initiatives.
Contact Details:
Advanced Resource Managers Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Python Data Engineer in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Advanced Resource Managers Ltd before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Advanced Resource Managers Ltd.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Advanced Resource Managers Ltd.
We think you need these skills to ace Python Data Engineer in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Advanced Resource Managers Ltd, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Advanced Resource Managers Ltd, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Advanced Resource Managers Ltd’s attention and show the tangible impact of your work.
How to prepare for a job interview at Advanced Resource Managers Ltd
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Advanced Resource Managers Ltd.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Advanced Resource Managers Ltd.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Advanced Resource Managers Ltd.
