Data Engineer - Finance Data
Data Engineer (Python SQL AWS) London / WFH to £85k Is this the role you are looking for If so read on for more details, and make sure to apply today.
Do you have experience of building data pipelines within finance / Fintech environments?
You could be progressing your career in a hands-on Data Engineer role at a scaling Investment Research tech company with great benefits and perks.
As a 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 assist with 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. xehkeey
About you:
You have experience as a Data Engineer, ideally working with financial data / market data in a FinTech or financial services environment
You have strong SQL and Python coding skills
You have 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 £85k + bonus
X3 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 Data Engineer (Python SQL AWS) opportunity.
Do you have experience of building data pipelines within finance / Fintech environments?
You could be progressing your career in a hands-on Data Engineer role at a scaling Investment Research tech company with great benefits and perks.
As a 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 assist with 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. xehkeey
About you:
You have experience as a Data Engineer, ideally working with financial data / market data in a FinTech or financial services environment
You have strong SQL and Python coding skills
You have 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 £85k + bonus
X3 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 Data Engineer (Python SQL AWS) opportunity.