Data Engineer

Position 

Data Engineer 

Location 

UK 

About StarCompliance 

StarCompliance is on a mission to make compliance simple and easy. Trusted globally by enterprise financial institutions, the user-friendly STAR platform empowers organizations to achieve regulatory compliance while safeguarding their integrity and business reputations. Through a customizable, 360-degree view of employee activity, the STAR software enables firms to automate the detection and resolution of potential areas of conflict while streamlining daily workflows and increasing efficiency.  

Mission Statement 

We are Reputation Guardians, on a mission to make compliance simple and easy. 

Role:

You will be responsible for enhancing our external analytics platform to provide a consistent, quality product for our clients to utilise, providing data and dashboards to thousands of users across hundreds of clients across the globe. 

As the Data Engineer you will be hands-on, continually contributing to the predominantly SQL codebase and investigating/solving data issues. Our platform utilises a modern tech stack of Azure, Snowflake and ThoughtSpot using modern techniques for maintaining the codebase and deploying pipelines. 

We are looking for individuals who will challenge ideas in a respectful manner in the pursuit of a better outcome. You should be passionate and take pride in your work with the ability to use initiative to make sure tasks are progressed and workload is prioritised accordingly 

• Working closely with the team to identify, refine and build solutions to enhance the data analytics platform for our customers 
• Continually contribute to the codebase and aid other engineers within the team by reviewing and advising/sharing best-practices  
• Design and build scalable, efficient, and fault-tolerant data products which align to the Data Strategy 
• Ensure the platform remains secure, well-monitored and performant 
• Play a key role in Agile ceremonies with input into backlog refinement and estimations, as well as ownership of the tech-debt backlog 

• At least 1 year of experience in data engineering preferably within a financial industry setting  
• Demonstrable skills in SQL, including a knowledge of efficient and performant query design 
• Experience of coding/scripting languages (e.g.Powershell / Python / Javascript) 
• Uses coding best practices 
• Familiar with git-based code repositories 
• Experience with data warehousing, and ETL/ELT processes 
• Experience building production systems utilising cloud systems, with particular value in expertise with Microsoft Azure. 
• Work in an Agile development environment  
• Excellent communication, collaboration, and problem-solving skills 

• Knowledge of data quality, data governance, and data security principles and practices 
• Experience of utilizingCI/CD processes(e.g.Azure DevOps) 
• Experience of data modelling 
• Experience of Snowflake cloud data warehouse including SnowSQL 
• Experience with ThoughtSpot 
• Experience defining, implementing or supporting software in financial services industry 
• Cloud certifications (Azure, AWS, GPC) 
• Experience of working with REST APIs