Data Engineer
Summary
Data Engineer building and maintaining data pipelines, data access layers, and Docker images for a financial services company using SQL, Azure, Snowflake, and Python.
Salary: Up to $170K Including Super + Bonus
Our client is a diversified Financial Services business seeking an experience Data Engineer to join their Business Insights and Data Integration team team during a period of extended growth and acquisition, where you will gain exposure to financial markets data, APIs and modern cloud practices.
Key deliverables in the role:
Partner closely with the business to understand their data product requirements and define the solution
Build and maintain data access layers and apply business logic
Monitor and maintain datasets, ensuring quality and integrity through robust QA processes.
Streamline automated data pipelines, build Docker images and distribute to Virtual Machines.
Oversee system processes, troubleshoot issues, and resolve failures promptly.
Redesign and implement processes in line with evolving business needs.
Skills & Experience:
3-5 years' experience in a Data Engineering / Analyst role, with competency in SQL and data warehousing / MS SQL, Azure and Snowflake.
Competent programming background (Python and/or R).
Any exposure to Finance or Regulatory Reporting teams is highly regarded
If this sound like you, please apply through the link provided. Successful candidates will be shortlisted and contacted.