Senior BI & AI Engineer

Power BI & Data Reporting

• Design and maintain complex Power BI reports and dashboards for portfolio performance, financial actuals vs targets, and resource utilisation.

• Build and manage Power BI Dataflows and semantic models on top of Snowflake — owning the full stack from ingestion to published report.

• Write advanced DAX: calculation groups, time intelligence, dynamic measures, row-level security.

• Optimise report performance and maintain documentation and data lineage across the BI estate.

Data Engineering & Snowflake

• Query, transform, and model data in Snowflake — building clean fact/dimension structures that feed both BI reports and AI layers.

• Write production-quality SQL and Python to automate data pipelines, replace manual file-based refreshes, and maintain data quality checks.

• Integrate data from sources such as SharePoint, SAP, Workday, Fieldglass, and Azure DevOps into governed reporting layers.

AI & Agentic Workflow Development

• Build LLM-powered workflows using Claude (Anthropic API) and Claude Code enabling natural-language access to portfolio data, automated insight generation, and intelligent report summaries.

• Design and ship agentic pipelines that automate repetitive analysis tasks: data mapping maintenance, anomaly flagging, narrative generation for financial reports.

• Develop prompt engineering standards and evaluation frameworks to ensure AI outputs are accurate and reliable in a financial reporting context.

• Explore and implement AI-assisted approaches to ETL maintenance and transformation code generation.

Automation & Process Improvement

• Build Power Automate flows to streamline data collection, approval workflows, and report distribution processes.

• Identify and eliminate manual, error-prone reporting processes — replacing them with automated, auditable pipelines.

• Partner with Finance, Product Operations, and Product Engineering teams to gather requirements and deliver tools that save time.

About you

You’re a fit for the role if your background includes: 

Must-Have Skills

• Power BI — advanced report building, Dataflows, semantic models, complex DAX, RLS, deployment pipelines.

• Snowflake — schema design, complex SQL, data modelling, performance tuning, integration with Power BI.

• Python — data engineering scripts, Pandas, REST API calls, automation. Comfortable writing code that runs in scheduled pipelines.

• LLM / Agentic AI — hands-on experience shipping AI workflows using Claude, LangChain, LlamaIndex, or equivalent. Not just prompting — actual applications in production or near-production.

• Power Automate — building business automation flows integrated with Microsoft 365 and SharePoint.

• DAX & SQL — strong command of both for analytical and engineering purposes.

• Domain context — ability to work with financial data (actuals, targets, forecasts), portfolio tracking data, and resource/headcount data.

Nice to Have

• Experience with DBT, Azure Data Factory, or Microsoft Fabric Notebooks for pipeline orchestration.

• Familiarity with Azure DevOps data (Work Items, iterations) as a portfolio execution data source.

• Exposure to vector databases, semantic search, or RAG architectures.

• Claude Code experience for AI-accelerated development workflows.

Experience & Background

• 8–10 years of experience in BI engineering, data engineering, or analytics engineering.

• At least 3 years of hands-on Power BI development (reports + Dataflows + semantic models — not just report building).

• At least 1–2 years of applied LLM or AI workflow development in a professional context, with something to show for it.

• Master’s degree in computer science, Data Engineering, Information Systems, or equivalent experience.

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What’s in it For You?

About Us

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.

We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.

We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.

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