Data Engineer
London
£85,000
Harrington Starr is currently working with a leading AI-based SAAS business that is looking to hire multiple Data Engineers to help them further grow their already exciting business.
Within this role you will be responsible for Maintaining, supporting and expanding existing data pipelines using DBT, Snowflake and S3. You will also be tasked with implementing standardised data ingress/egress pipelines coupled with onboarding new, disparate data sets, sourced from many and varied data vendors, covering all asset types and frequencies from daily to real-time.
To be successful in this role you must be able to work and build relationships with internal teams as you will be working with the quant teams to streamline the data to make it easier to use on the platform. You will also be working with external client to help them onboard their data to the live platform.
Key Skills:
If this sounds of interest please send your CV to james.platt@harringtonstarr.com
London
£85,000
Harrington Starr is currently working with a leading AI-based SAAS business that is looking to hire multiple Data Engineers to help them further grow their already exciting business.
Within this role you will be responsible for Maintaining, supporting and expanding existing data pipelines using DBT, Snowflake and S3. You will also be tasked with implementing standardised data ingress/egress pipelines coupled with onboarding new, disparate data sets, sourced from many and varied data vendors, covering all asset types and frequencies from daily to real-time.
To be successful in this role you must be able to work and build relationships with internal teams as you will be working with the quant teams to streamline the data to make it easier to use on the platform. You will also be working with external client to help them onboard their data to the live platform.
Key Skills:
- A minimum of 3+ years experience in Data Engineering, including data integration, modelling, optimisation and data quality
- Exceptional understanding of Python
- Experience developing in the cloud (AWS preferred)
- Solid understanding of libraries like Pandas and NumPy
- Experience in data warehousing tools like Snowflake, Databricks, BigQuery
- Familiar with AWS Step Functions, Airflow, Dagster, or other workflow orchestration tools
- Commercial experience with performant database programming in SQL
- Capability to solve complex technical issues, comprehending risks prior to the circumstance
- Comfortable working in an agile environment, where features may change and evolve quickly
- Prior experience in financial services, specifically capital markets or funds industry
If this sounds of interest please send your CV to james.platt@harringtonstarr.com
