StarCompliance
Financial Services
DataandAnalyticsEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data and Analytics Engineer at StarCompliance. Skills: Data pipelines, Data modelling, Analytics engineering, Business intelligence. Design data pipelines. Build data pipelines”
Industry & Context.
Investigate issues; Resolve issues
What They're Looking For.
Must Have
Experience in data engineering, Experience in analytics engineering, Proficiency in SQL, Experience designing data models, Experience building data pipelines, Experience with Snowflake, Experience with Microsoft Azure, Experience developing dashboards, Experience with ThoughtSpot, Experience with Power BI, Familiarity with ETL/ELT processes, Familiarity with data warehousing concepts, Familiarity with modern data architecture, Experience with CI/CD processes, Experience with Azure DevOps, Experience with Git, Experience with deployment pipelines, Experience with Python, Experience with PowerShell, Experience with C#, Communication skills, Collaboration skills, Problem-solving skills, Comfortable working within Agile
Nice to Have
Experience with SnowSQL, Advanced Snowflake capabilities, Deploying data products to external customers, Experience in financial services industry, Knowledge of data governance, Knowledge of data quality, Knowledge of observability, Knowledge of data security, Experience with Mend, Experience with SonarQube, Azure certification, Snowflake certification, ThoughtSpot certification, Power BI certification, Experience with embedded analytics products, Experience with customer-facing reporting platforms
What You'll Do.
Design data pipelines
Maintain data pipelines
Design dimensional data models
Maintain dimensional data models
Design semantic layers
Maintain semantic layers
Collaborate with stakeholders
Collaborate with customers
Collaborate with engineers
Collaborate with product teams
Translate requirements into data solutions
Translate requirements into dashboards
Ensure data platforms are secure
Ensure dashboards are secure
Ensure reporting solutions are secure
Ensure data platforms are monitored
Ensure dashboards are monitored
Ensure reporting solutions are monitored
Ensure data platforms are scalable
Ensure dashboards are scalable
Ensure reporting solutions are scalable
Ensure data platforms are performant
Ensure dashboards are performant
Ensure reporting solutions are performant
Investigate data quality issues
Investigate pipeline issues
Investigate reporting issues
Resolve data quality issues
Resolve pipeline issues
Resolve reporting issues
Contribute to code reviews
Contribute to engineering best practices
Contribute to continual improvements
Contribute to data governance
Contribute to data observability
Contribute to data quality initiatives
Run proof-of-concepts
Share findings with team
Support CI/CD processes
Support deployment pipelines
Support Git-based development workflows
Participate in Agile ceremonies
Participate in backlog refinement
Participate in estimations
Participate in technical debt management
Communicate technical concepts to non-technical audiences
How You'll Work.
Team & Collaboration
Cross-functional teams; Agile teams; Product teams; Stakeholders; Customers; Engineers
Communication Scope
Technical concepts; Non-technical audiences
Process & Methodology
Agile methodologies, Backlog refinement, Estimations, Technical debt management
Full Job Description
## Description 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
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