StarCompliance

Financial Services

DataandAnalyticsEngineer

£65–90k ~AI est. York, United Kingdom FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data and Analytics Engineer at StarCompliance. Skills: Data pipelines, Data modelling, Analytics engineering, Business intelligence. Design data pipelines. Build data pipelines”

Industry & Context.

Financial Services
Problems you'll solve

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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