The Data & Analytics

• Enterprise Data Lake Team has been established to create, operate, and run the Enterprise AI, BI, and Data platforms that facilitate faster time to market for reporting, analytics, and data science teams to run experiments, train models, and generate insights. The Data Factory team sits at the heart of this mission — ingesting data from various sources into the Enterprise Data Lake and performing content-agnostic transformations to provide end-users with clean, reliable, and well-governed datasets.

As a Senior Software Engineer , you will take a pivotal role in shaping the future of our data ingestion and transformation solutions within the Enterprise Data Lake. You will lead the development of complex data pipelines and systems, focusing on delivering high-quality, scalable data solutions while leveraging your experience to enhance data accessibility, reliability, and usability. This role requires deep expertise in distributed data systems design, ETL/ELT pipeline development, data modeling, and cloud-based infrastructure, along with the ability to evaluate AI and automation tools for specific data engineering use cases. You'll manage technical debt effectively while designing scalable data ingestion frameworks, transformation pipelines, and reusable data products.

About the Role:

• Design and implement end-to-end solutions to ingest data from multiple structured, semi-structured, and unstructured sources into the Enterprise Data Lake.

Conduct source data analysis in collaboration with data subject matter experts to build robust data pipelines and thoroughly document data transformations.

Develop and maintain scalable, sustainable ETL/ELT pipelines for both on-premises and cloud environments, ensuring efficiency, reliability, and performance.

Innovate with new approaches for source ingestion, ELT data pipelines, AWS-based frameworks, and stakeholder-facing documentation and usability.

Design and build data products that serve downstream consumers including data science, business analytics, and reporting teams.

Perform end-to-end deployment of data pipelines using CI/CD processes, ensuring high-quality releases and minimal disruption to data consumers.

Collaborate with business analysts, data architects, and cross-functional teams to gather requirements, define data contracts, and deliver solutions aligned with business goals.

Effectively communicate and liaise with data management teams embedded across the organization to ensure alignment on data governance standards and best practices.

Contribute to improving the overall data consumer experience by delivering clean, well-documented, and easily accessible datasets.

Manage and prioritize technical debt while maintaining a high standard of code quality, pipeline reliability, and system scalability.

Evaluate and adopt AI-powered tools and frameworks to improve pipeline development, data quality monitoring, and operational efficiency.

About You:

• You're a fit for the role of Senior Data Engineer, if you bring 7+ years of demonstrated expertise across the following areas: Senior Data Engineer - AWS, Python, spark, snowflake, SQL, CICD, data modelling, AI

Core Data Engineering

Expert in Data Pipeline Development — ETL/ELT tooling for on-premises and cloud environments

Expertise in ETL tools, preferably Informatica

Working experience building sustainable data pipelines to Data Lakes, Data Warehouses, and Data Marts

Expertise in handling semi-structured and unstructured data

Big Data experience with distributed processing frameworks

Programming & Databases

Highly proficient in SQL

Proficient in Python and/or Spark for data engineering workloads

Highly experienced in working with relational and non-relational databases, including Snowflake

Strong knowledge of ingesting data from APIs, RDBMS, SaaS Application ( CRM and ERP ), Social Medial and Realtime/Eventr streaming sources

Hands-on experience on DBT Transformation, Shell Scripting, Store procedures etc

Cloud & Infrastructure

Proficient in AWS services including S3, EC2, Lambda, IAM, VPC, Load Balancer, Glue, and RDS ( Mandatory Hands-on AWS Glue )

End-to-end deployment of data pipelines using CI/CD processes

Experience or working knowledge of Terraform for infrastructure deployment

Architecture & Design

Strong understanding of data modeling — 3NF and dimensional modeling, including conceptual, logical, and physical layers

Information systems design and solution design experience, including use case diagrams and architectural workflows

Master and Reference Data Management knowledge

Awareness of Data Governance standards and best practices

Soft Skills & Ways of Working

Strong written and oral communication skills

Effective stakeholder management across technical and business audiences

Business analysis capabilities to translate requirements into data engineering solutions

Agile method of working — comfortable operating in iterative, fast-paced delivery environments

Ability to mentor junior engineers, conduct code and design reviews, and foster a culture of continuous learning and improvement

What’s in it For You?

• 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.

• Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.

• Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.

• Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.

• Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.

• Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.

• Making a Real-World Impact: We are one of the few companies globally 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.

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.

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