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.
Role
We are seeking a Data & Analytics Engineer to join our existing Data team, helping bridge the gap between data engineering, analytics engineering, and business intelligence. This hybrid role is ideal for someone who is equally comfortable building scalable data platforms and pipelines as they are designing semantic models and insightful dashboards for end users.
You will play a key role in enhancing our external Data Analytics platform, delivering high-quality data products, dashboards, and analytics capabilities to thousands of users across hundreds of clients globally. You will be responsible for ensuring data is accurate, scalable, well-structured, and ready for consumption within Snowflake, while also delivering intuitive visualizations that support customer and internal decision-making.
Our platform utilises a modern cloud-based tech stack featuring Microsoft Azure, Snowflake, and ThoughtSpot, alongside in-house data ingestion and automation tooling. The team embraces modern engineering practices, CI/CD pipelines, Agile methodologies, and emerging AI-assisted development tooling.
We are looking for individuals who challenge ideas respectfully in pursuit of better outcomes. You should be passionate about data, take pride in your work, and proactively drive tasks forward while balancing technical excellence with customer impact.
Responsibilities
Design, build, and maintain scalable, efficient, and fault-tolerant data pipelines and products using Azure and Snowflake technologies
Design and maintain dimensional data models and semantic layers for downstream analytics and reporting
Develop and maintain embedded analytics dashboards and reporting solutions using ThoughtSpot and related BI technologies
Write efficient, performant, and optimized SQL queries to support analytics and operational reporting requirements
Collaborate closely with stakeholders, customers, engineers, and product teams to gather requirements and translate them into data solutions and dashboards
Ensure data platforms, dashboards, and reporting solutions are secure, monitored, scalable, and performant
Investigate and resolve data quality, pipeline, and reporting issues across the analytics platform
Contribute to code reviews, engineering best practices, and continual improvements across the data platform
Contribute to data governance, observability, and quality initiatives
Run technical spikes and proof-of-concepts for emerging technologies and share findings with the wider team
Support CI/CD processes, deployment pipelines, and Git-based development workflows
Participate actively in Agile ceremonies, backlog refinement, estimations, and technical debt management
Act as a bridge between technical teams and business stakeholders, clearly communicating technical concepts to non-technical audiences
Mandatory Skills, Knowledge or Experience
Experience in data engineering and/or analytics engineering within fast-paced, large-scale production environments
Strong proficiency in SQL, including performant query design and relational database concepts
Experience designing data models using dimensional modelling techniques and star schemas
Experience building and maintaining production data pipelines and cloud-based data platforms
Experience with Snowflake and Microsoft Azure technologies
Proven experience developing dashboards and reports using ThoughtSpot, Power BI, or similar BI platforms
Familiarity with ETL/ELT processes, data warehousing concepts, and modern data architecture patterns
Experience with CI/CD processes, Azure DevOps, Git, and deployment pipelines
Experience with scripting or programming languages such as Python, PowerShell, or C#
Familiarity with harnessing AI-assisted tooling to deliver faster, higher-quality data services (e.g. Cursor, Claude)
Strong communication, collaboration, and problem-solving skills
Comfortable working within Agile development environments
Desirable Skills
Experience with SnowSQL and advanced Snowflake capabilities
Experience deploying data products or analytics solutions to external customers
Experience within the financial services industry
Knowledge of data governance, data quality, observability, and data security principles
Experience with tools such as Mend and SonarQube
Azure, Snowflake, ThoughtSpot, or Power BI certifications
Experience working with embedded analytics products and customer-facing reporting platforms
