Want to be part of the Data & Analytics organization, whose strategic goal is to create a world-class Data & Analytics company by building, embedding, and maturing a data-driven culture across Thomson Reuters.

About The Role

We are looking for a highly motivated individual with strong organizational and technical skills for the position of Senior Data Engineer (Snowflake). You will play a critical role working on cutting edge of Data Engineering and analytics, leveraging predictive models, machine learning and generative AI to drive business insights and facilitating informed decision-making and help Thomson Reuters rapidly scale data-driven initiatives.

• Effectively communicate across various levels, including Executives, and functions within the global organization.
• Demonstrate strong leadership skills with ability to drive projects/tasks to delivering value
• Engage with stakeholders, business analysts and project team to understand the data requirements.
• Design analytical frameworks to provide insights into a business problem.
• Explore and visualize multiple data sets to understand data available and prepare data for problem solving.
• Design database models (if a data mart or operational data store is required to aggregate data for modeling).

• Hands-on experience in developing data models for large scale data warehouse/data Lake - Snowflake, BW
• Map the data journey from operational system sources through any transformations in transit to its delivery into enterprise repositories (Warehouse, Data Lake, Master Data, etc.)
• Enabling on the overall master and reference data strategy, including the procedures to ensure the consistency and quality of Finance reference data.
• Experience across ETL, SQL and other emerging data technologies with experience in integrations of a cloud-based analytics environment
• Build and refine end-to-end data workflows to offer actionable insights
• Fair understanding of Data Strategy, Data Governance Process
• Knowledge in BI analytics and visualization tools: Power BI, Tableau

• Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected
• Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
• Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
• Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.
• Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.
• Purpose Driven Work: We have a superpower that we've never talked about with as much pride as we should - we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.