At a Glance
- Tasks: Build and optimise data pipelines in a dynamic finance tech environment.
- Company: Scaling Investment Research tech company with a focus on innovation.
- Benefits: Up to £120k salary, bonus, 25-30 days holiday, and healthcare.
- Other info: Flexible work-from-home options and excellent career growth opportunities.
- Why this job: Join a collaborative team and make a real impact on data architecture.
- Qualifications: Experience in data engineering, strong SQL and Python skills, AWS expertise.
The predicted salary is between 110000 - 120000 £ per year.
Do you have experience of building data pipelines within finance / Fintech environments? You could be progressing your career in a senior, hands-on Data Engineer role at a scaling Investment Research tech company in an impactful role with great benefits and perks.
As a Senior Data Engineer you will be at the intersection of data engineering, database management and platform delivery. You will help build and evolve a modern, scalable AWS cloud based data platform. Your focus will be on designing and maintaining data pipelines, ingestion frameworks and processing workflows, supporting the migration of existing datasets into a unified data architecture.
Collaborating closely with the Data Platform Engineer, you will contribute to platform design, data modelling, database optimisation and the onboarding of new data sources. You'll also be responsible for managing and optimising PostgreSQL and time-series database environments, improving data quality and governance and ensuring platform reliability, performance and scalability.
Location / WFH: You'll join colleagues in the London office three days a week with flexibility to work from home the other two days.
About you:
- You have experience as a Data Engineer, working with financial data / market data in a FinTech or financial services environment
- You have strong SQL and Python coding skills
- You have strong AWS experience, including Data Lakes and S3
- You have experience of building and supporting large scale data pipelines
- You have experience with PostgreSQL
- You have experience with times series data, they use TimescaleDB but other experience with similar platforms is fine
- You have experience with Orchestration platforms such as Dagster or Airflow
- You're collaborative with great communication skills
What's in it for you:
- Salary to £120k + bonus
- 3 weeks per year work anywhere
- 25 days holiday, increasing to 30
- Pension 9% (company contributes 5%, employee contributes 4%)
- Healthcare for you and your family
- Cycle to Work scheme
- Employee Assistance Program
Apply now or call to find out more about this Senior Data Engineer opportunity.
At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Senior Data Engineer - Finance Data employer: Client Server Ltd.
Join a dynamic and innovative Investment Research tech company in London, where as a Senior Data Engineer, you will play a pivotal role in shaping the future of finance data. With a strong emphasis on employee growth, you will benefit from a competitive salary, generous holiday allowance, and a flexible work-from-home policy, all within a collaborative and inclusive culture that values diversity and continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Finance Data
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We think you need these skills to ace Senior Data Engineer - Finance Data
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Client Server Ltd.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
