Senior Data Engineer (Gcp) - Ai Platforms

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Who We AreWelcome 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.

Position : Senior Data Engineer (GCP)

Who We AreWelcome 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, Belo Horizonte, Florianópolis, and Fortaleza 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 Fuel IX 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.

Responsibilities

Develop and optimize scalable, high-performing, secure, and reliable data pipelines that address diverse business needs and considerations

Identify opportunities to enhance internal processes, implement automation to streamline manual tasks, and contribute to infrastructure redesign

Help mentor and coach a product team towards shared goals and outcomes

Navigate difficult conversations by providing constructive feedback to teams

Identify obstacles to ensure quality, improve our user experience and how we build tests

Be self-aware of limitations, yet curious to learn new solutions while being receptive to constructive feedback from teammates

Engage in ongoing research and adoption of new technologies, libraries, frameworks, and best practices to enhance the capabilities of the data team

Qualifications

5+ years of relevant development experience writing high-quality code as a Data Engineer

Have actively participated in the design and development of data architectures

Hands-on experience in developing and optimizing data pipelines

Comprehensive understanding of data modeling, ETL processes, and both SQL and NoSQL databases

Experience with a general-purpose programming language such as Python or Scala

Experience with GCP platforms and services

Experience with containerization technologies such as Docker and Kubernetes

Proven track record in implementing and optimizing data warehousing solutions and data lakes

Proficiency in DevOps practices and automation tools for continuous integration and deployment of data solutions

Experience with machine learning workflows and supporting data scientists in model deployment

Solid understanding of data security and compliance requirements in large-scale data environments

Strong ability to communicate effectively with teams and stakeholders, providing and receiving feedback to improve product outcomes

Proficient in communicating and writing in English

Bonus Points

Big data tools such as Hadoop, Spark, or Kafka

Orchestration tools such as Airflow

Experience in an Agile development environment and familiarity with Agile methodologies

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Hospitals and Health Care

Non-profit Organizations

Government Administration

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