This job was found on www.engineeringjobs.co.uk
Job URL: https://www.engineeringjobs.co.uk/job/1277000000000141152/Data-Engineer
Explore the forefront of financial technology with SigTech, a leader in AI-driven quantitative backtesting software. For over a decade, we have been refining tools that transform complex data into actionable insights, enabling traders to optimise their strategies and achieve superior market performance. Our advanced platform, backed by comprehensive data from top-tier providers, ensures precise and reliable testing environments and is trusted by world leaders in the investing industry. At SigTech, you’ll join a team dedicated to pushing the boundaries of what’s possible in the trading world, using innovation to drive real results. If you're ready to contribute to pioneering solutions that shape the future of finance, we want to hear from you.
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Requirements
Maintain, support and expand existing data pipelines using DBT, Snowflake and S3
Implement standardised data ingress/egress pipelines
Onboard new, disparate data sets, sourced from many and varied data vendors, covering all asset types and frequencies from daily to real-time
Liaise and work closely with our team of quant developers to make the data easy to use within the platform
Work with customers to enable them to onboard their own data onto our Platform
Create thorough operationalised documentation and support for all new pieces of work and retrospectively existing pieces of work
Full functional and unit testing of all deliveries
What you’ll need to succeed
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
Great to haves
Prior experience in financial services, specifically capital markets or funds industry
Strong communication skills
Work experience in a start/scale-up
Benefits
Enjoy a generous 26 days of holiday, with the potential to earn up to 4 bonus days per year.
Indulge in up to 7 days of international work, allowing you to explore exciting destinations of your choice!
Work from home three times a week!
Take advantage of healthcare coverage that keeps you in good shape.
Access exclusive discounts on gym memberships.