Senior Data Engineer

Welcome to TELUS Digital — where innovation drives impact at a global scale.

As an award-winning digital product consultancy and the digital division of TELUS, one of Canada's largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.With a global team across North America, South America, Central America, Europe, and APAC, we offer end-to-end expertise across eight core service areas : Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Business Operations Modernization, Enterprise Applications, Cloud Engineering, and QA & Test Engineering.From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.Location and FlexibilityThis role can be fully remote for candidates based in the states of São Paulo and Rio Grande do Sul as well as in the cities of Rio de Janeiro and Belo Horizonte, due to team distribution and occasional in-person opportunities.

If you are based in São Paulo or Porto Alegre, you are welcome to work from one of our offices on a flexible schedule.The OpportunityAs a Data Engineer part of our growing Data Science team, you will be responsible for designing, implementing, and maintaining robust and scalable data pipelines, enabling efficient data integration, storage, and processing across our various data sources.

You will collaborate with cross-functional teams, including Data Scientists, Software Engineers, and other technical stakeholders, to ensure data quality and support data-driven decision-making.ResponsibilitiesDevelop and optimize scalable, high-performing, secure, and reliable data pipelines that address diverse business needs and considerationsIdentify opportunities to enhance internal processes, implement automation to streamline manual tasks, and contribute to infrastructure redesignAct as a guide and mentor to junior engineers, supporting their professional growth and fostering an inclusive working environmentCollaborate with cross-functional teams to ensure data quality and support data-driven decision-making to strive for greater functionality in our data systemsCollaborate with project managers and product owners to assist in prioritizing, estimating, and planning development tasksProvide constructive feedback, and share expertise with fellow team members, fostering mutual growth and learningEngage in ongoing research and adoption of new technologies, libraries, frameworks, and best practices to enhance the capabilities of the data teamDemonstrate a commitment to accessibility and ensure that your work considers and positively impacts othersQualificationsBSc, MSc, and / or PhD in Statistics, Mathematics, Physics, CS, or another related subjectExperience in technology-related fields, which can be industry and / or academic research (e.g. BI, Software, Data Science, Data Engineering)At least 3 years of experience as Data EngineerHave actively participated in the design and development of data architecturesHands-on experience in developing and optimizing data pipelinesExperience working with databases and data modeling projects, as well as practical experience utilizing SQLEffective English communication - able to explain technical and non-technical concepts to different audiencesExperience with a general-purpose programming language such as Python or ScalaAbility to work well in teams and interact effectively with othersAbility to work independently and manage multiple tasks simultaneously while meeting deadlinesBonus PointsCloud platforms and services, such as AWS, GCP, or AzureBig data tools such as Hadoop, Spark or KafkaOrchestration tools such as AirflowNoSQL databasesContainerization technologies such as Docker and KubernetesAgile development environment and familiarity with Agile methodologiesWhy TELUS Digital?

At TELUS Digital, you'll work with world-class brands like FOX, HBO, PepsiCo, and Domino's, building transformative digital products that impact millions.

Our global reach allows you to collaborate with diverse, international teams, solving complex problems and delivering tech-driven solutions that matter.We thrive on engineering excellence, using the latest technologies in cloud computing, AI, machine learning, DevOps, microservices architecture, and data engineering.

Our teams embrace Agile methodologies, continuous integration and deployment (CI / CD) pipelines, and a DevOps-first mindset to deliver solutions at scale.In addition to being part of an international and innovative consultancy company, you will have : A Global Innovation Hub : Be part of an international consultancy at the forefront of technologyWork-Life Harmony : Enjoy flexible hours and autonomy to balance your professional and personal lifeCutting-Edge Tech Playground : Dive into the latest technologies and shape the future of digital solutionsPrestigious Partnerships : Collaborate with world-renowned brands, making a real impact in the marketGrowth-Centric Environment : Thrive in our collaborative ecosystem with a clear career development pathGlobal Exposure : Embrace optional international travel opportunities to broaden your horizonsSome of our benefits : Health and dental planLife insuranceMonthly voucher for meals, culture, education, health and mobilityChild care assistance and more!

Equal Opportunity EmployerAt TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace.

All aspects of employment, including the decision to hire and promote, are based on applicants' qualifications, merits, competence and performance without regard to any characteristic related to diversity.We will only use the information you provide to process your application and to produce tracking statistics.

Since we do not request personal data deemed sensitive, we ask you to abstain from sharing that information with us.For more information on how we use your information, see our Privacy Policy.

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