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For Companies At a Glance
- Tasks: Design and maintain ETL pipelines for financial datasets using cutting-edge technology.
- Company: Join Rimes, a leader in enterprise data management for the global investment community.
- Benefits: Enjoy gym discounts, cashback plans, virtual GP services, and more.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Make an impact in finance while developing your skills in a dynamic environment.
- Qualifications: Strong Python skills and exposure to AI concepts required.
The predicted salary is between 30000 - 40000 £ per year.
About Rimes
Rimes provides enterprise data management solutions to the global investment community. Driven by our passion for solving the most complex data problems, we provide our clients with investment intelligence that powers more than US$75 trillion in assets under management annually. The world’s leading institutional investors, asset managers and service providers rely on Rimes to help them make better investment decisions using accurate information and industry-leading technology.
The Opportunity
The Data Team at Rimes delivers cloud-based financial datasets across multiple asset classes to institutional investors worldwide. Data Developers at Rimes build and maintain tools to ingest, validate, and load data from a wide range of global sources into the Rimes platform. They are expected to be knowledgeable about global financial market data, contribute to custom client solutions and work closely with teams across time zones. Rimes' hand-off management style encourages initiative, problem-solving, and end-to-end ownership of data workflows.
Responsibilities
- Assisting designing, building, and maintaining ETL pipelines to ingest and transform financial datasets.
- Apply AI driven techniques to support automation, anomaly detection, data mapping, and workflow optimization.
- Work with structured and semi-structured data, ensuring accuracy through validation and transformation processes.
- Contribute to integrating new data sources and supporting ongoing feed changes from global vendors.
- Translate business and client requirements into clear workflows and data processes under guidance from senior team members.
- Support development of scalable solutions for diverse financial asset classes and investment systems.
- Use internal tools and collaboration systems to manage workflow tasks and communicate across teams.
Requirements
- Strong programming skills in Python, including experience with data processing libraries.
- Exposure to AI concepts (e.g., LLMs, embeddings, classification models) through coursework or hands-on projects.
- Familiarity with Git or similar version control systems.
- Bachelor's degree (or in progress) in a STEM field or related technical discipline.
- At least 1 year of relevant work, internship, or project experience in data-driven development.
- Detail oriented, analytical, and eager to learn new technologies.
- Strong communication skills and the ability to collaborate effectively.
- Proactive, able to manage time well, and comfortable working in a fast-paced environment.
- Interested in data engineering and committed to building high quality, well-structured solutions.
Desired Experience
- Experience with SQL, XML, or REST APIs.
- Exposure to AI/ML frameworks or experience creating simple AI driven utilities.
- Familiarity with Databricks, Snowflake, or Parquet formats.
- Understanding of financial markets or financial datasets.
- Experience with Microsoft Excel in an analytical context.
- Programming experience in Perl.
- Progress toward financial certifications (e.g., CFA Level 1/2).
What We Offer
- AXA Gym Membership Discount
- Healthshield Cashback plan
- Healthshield Perks platform (Breeze)
- MetLife Afterlife Support
- Metlife GP 24 hour virtual GP service
- Annual 'purchase holiday' scheme
- Chubbs Travel Insurance
- Group Income Protection scheme
- Death in Service Funds
- Referral bonus
Rimes is committed to promote the values of diversity and inclusion throughout the business. Whether it's through recruitment, retention, career progression or training and development, we are committed to improving opportunities for people regardless of their background or circumstances.
Associate Data Developer employer: Rimes
Contact Detail:
Rimes Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Data Developer
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Rimes on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or GitHub repositories, make sure to highlight them during interviews. Demonstrating your programming prowess in Python and any AI techniques will set you apart.
✨Tip Number 3
Prepare for the technical interview! Brush up on your data processing libraries and be ready to discuss how you've tackled data challenges in the past. Practice coding problems related to ETL processes to impress the hiring 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, it shows you're genuinely interested in joining the Rimes team.
We think you need these skills to ace Associate Data Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Associate Data Developer role. Highlight your programming skills in Python and any relevant experience with data processing libraries. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Don’t forget to mention any exposure to AI concepts or financial datasets!
Showcase Your Projects: If you've worked on any projects related to data development, make sure to include them! Whether it's coursework or hands-on projects, we love seeing practical applications of your skills. It helps us understand your experience better.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to us. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at Rimes
✨Know Your Data
Make sure you brush up on your knowledge of global financial market data. Understand the types of datasets Rimes works with and be ready to discuss how you can contribute to building and maintaining ETL pipelines. This will show your enthusiasm and readiness to dive into the role.
✨Showcase Your Programming Skills
Be prepared to talk about your experience with Python and any relevant data processing libraries. If you've worked on projects involving AI concepts or data engineering, share specific examples. This will demonstrate your technical capabilities and problem-solving skills.
✨Familiarise Yourself with Tools
Get comfortable with Git and any other version control systems mentioned in the job description. If you have experience with SQL, XML, or REST APIs, be ready to discuss how you've used these tools in past projects. This will highlight your practical experience and readiness to collaborate effectively.
✨Communicate Clearly
Strong communication skills are key for this role, especially when translating business requirements into data processes. Practice explaining complex concepts in simple terms, as you may need to do this during the interview. This will showcase your ability to work well with teams across different time zones.