At a Glance
- Tasks: Design and maintain scalable data pipelines for a fast-growing FinTech company.
- Company: Join Client Server, a leading tech recruitment agency with a collaborative culture.
- Benefits: Earn up to £100,000 plus bonuses, with hybrid working and professional development opportunities.
- Other info: Inclusive workplace that values diversity and promotes innovation.
- Why this job: Work on impactful projects using cutting-edge technology in a dynamic environment.
- Qualifications: Bachelor's in STEM, experience in data engineering, and proficiency in Python required.
The predicted salary is between 60000 - 80000 £ per year.
About the Company
Client Server is a leading technology recruitment agency that specializes in connecting talented professionals with innovative organizations across various sectors. Renowned for its commitment to excellence and deep industry expertise, Client Server has built a strong reputation for delivering tailored staffing solutions that meet the evolving needs of its clients. The company prides itself on fostering a collaborative and inclusive environment, emphasizing professional growth and development for its employees. With a focus on leveraging cutting‑edge technology and industry best practices, Client Server continually strives to be at the forefront of the recruitment landscape, supporting both clients and candidates in achieving their strategic goals.
About the Role
We are seeking a highly skilled Data Engineer with expertise in Python and Large Language Model (LLM) APIs to join a dynamic and rapidly scaling FinTech company based in London. This pivotal role involves designing, developing, and maintaining scalable data pipelines that facilitate efficient data ingestion and processing from fund administrators. The ideal candidate will have a strong background in building robust data infrastructure within cloud environments, particularly Azure, and possess a keen interest in leveraging emerging technologies to create business value. As part of the engineering team, you will champion best practices in data architecture, ensure data quality, and contribute to the company's mission of delivering innovative alternative investment management solutions.
Qualifications
- A Bachelor's degree in a STEM discipline from a recognized Russell Group university.
- Proven commercial experience in data engineering, with a focus on building scalable and reliable data pipelines.
- Strong proficiency in Python, with experience in developing data processing workflows.
- Familiarity with TypeScript or willingness to learn and adapt to new programming languages.
- Good understanding of APIs and their integration within data systems.
- Experience with Large Language Models (LLMs) and their application in delivering business value.
- Hands‑on experience working within cloud environments, preferably Azure.
- Excellent collaboration skills, with the ability to communicate complex technical concepts effectively across teams.
Responsibilities
- Design, develop, and maintain scalable data pipelines to support business operations and analytics.
- Build and optimize data ingestion processes for receiving data from fund administrators and other sources.
- Collaborate with cross‑functional teams to understand data requirements and translate them into technical solutions.
- Implement best practices in data architecture, quality, and security to ensure reliable data delivery.
- Work closely with data scientists and product teams to integrate LLMs and other AI technologies into data workflows.
- Monitor, troubleshoot, and improve existing data pipelines for performance and reliability.
- Stay up-to-date with emerging technologies, tools, and industry trends to continuously enhance data infrastructure.
- Champion a culture of good data governance and promote data literacy within the organization.
Benefits
- Competitive salary up to £100,000 plus performance‑based bonus.
- Opportunity to work on impactful projects within a fast‑growing FinTech environment.
- Hybrid working model with three days in the London office and two days remote working.
- Professional development opportunities, including training and certifications.
- Collaborative and inclusive workplace culture that values innovation and initiative.
- Access to cutting‑edge technology and tools to support your work and growth.
Equal Opportunity
Client Server is committed to creating a diverse and inclusive workplace. We are an equal opportunity employer and welcome applications from all qualified candidates regardless of race, gender, age, disability, sexual orientation, religion, or background. We believe that diverse teams foster innovation and drive better business outcomes, and we are dedicated to providing an environment where everyone can thrive and succeed.
Data Engineer employer: Netrolynx AI
Client Server is an exceptional employer, offering a dynamic and inclusive work environment in the heart of London. With a strong emphasis on professional growth, employees benefit from competitive salaries, a hybrid working model, and access to cutting-edge technology, all while contributing to impactful projects in the rapidly evolving FinTech sector. The company champions innovation and collaboration, ensuring that every team member has the opportunity to thrive and make a meaningful impact.
