Job description

Roles and Responsibilities:

Our data engineers are versatile and work with data in a number of different ways.

  • As a core activity they source, prepare and move large volumes of data at scale for use by others. The data engineer will engage with stakeholders to understand the data requirements.
  • The data engineer will identify sources and destination of data and identify the appropriate data transformations required. They will ensure that the appropriate systems of record are being used for source data. In this regard, it is expected that they will be knowledgeable of specific data domains. They will pick the appropriate data movement mechanism.
  • They will build the ETLs and/or data pipelines. They automate this process and ensure the appropriate backups and high availability mechanisms exist. They will ensure the appropriate alerting mechanisms exist in the event of failure. It is expected that data engineers will be able to tune the performance of the data movement mechanism so that it meets business operational needs.
  • They may design target data models, if none exist at the destination. Because of this it is expected that our data engineers have experience with data models like relational schema design and start schema.
  • We work in a cloud environment and our data engineers are expected to be able to do platform engineering and architecture to support machine learning operations when required.
  • Because, we have a high volume of data requests, our data engineers also assist with data queries, data analysis and dashboarding using tools such as Tableau and PowerBI.

Key Skills:

  • Ability to translate business requirements to technical data requirements
  • Data Analysis
  • Experience with data in a particular domain (ex. Sales, Marketing, Finance, Customer Support etc.)
  • Advanced knowledge of an ETL, data pipeline tool (Alteryx/FiveTran preferred)
  • 2 years of experience with Snowflake
  • Expert knowledge of SQL and NoSQL
  • Experience with data modeling (using relational models and Star Schema)
  • Experience with Data preparation, transformation and processing techniques at scale
  • Tuning and automation of data pipelines handling large volumes of data
  • Knowledge of Amazon Web Services and tools (GLUE, Lambda etc.)
  • Expert knowledge of Python / Spark
  • Visualization tools such as Tableau or PowerBI
  • 2 years experience with Machine Learning Operations in the AWS environment
  • Experience tuning SQL queries

Good to have:

  • Manages and implements external and internal tools and applications.
  • Reviews and edits requirements, specifications, business processes and recommendations related to proposed solution.
  • Assists with research and development of functional specification and system design as directed.
  • Provides wider feedback as requested.
  • Researches, analyzes and resolves problems and issues with minimal supervision and escalate issues as appropriate.
  • Develops and implements large or complex projects and solutions.
  • Works on multiple projects with varying levels of complexity.
  • Manages own resources in accordance with project schedule.
  • Generates monthly and quarterly reports for trackable metrics.
  • Regularly communicates and shares knowledge with the rest of the team and department.
  • Participates in team and client meetings as requested.
  • Delivers informative, well-organized presentations.
  • Completes work within department, company, and industry standards, methodologies, and policies.
  • Consistently delivers high-quality services to clients.
  • Assists in establishing new processes and procedures.
  • Assist in preparing presentations for control owners and management.
  • Leads the analysis and design of complex database solutions and requirements definition. Performs logical and physical data modeling.
  • Translates technical and business requirements into physical installations.
  • Resolves root cause of database problems.
  • Develops, modifies, tests and implements complex database application modules from multiple systems using disciplined software development processes.
  • Drives technical innovation.
  • Provides specialist technical guidance and advice.
  • Drives continual process and quality improvements.

Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. 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 diversity of culture and thought to deliver on our 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/Affirmative Action 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.

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