Senior Data Engineer (GCP) - AI Platforms

WillowTree; São Paulo; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading digital consultancy in São Paulo is looking for an experienced Data Engineer to develop and maintain data pipelines, ensuring data quality and supporting data-driven decisions. The ideal candidate will have a background in statistics or computer science, with hands-on experience in SQL and data architecture. This role offers a flexible work environment and the opportunity to work with cutting-edge technologies.

Serviços

Health and dental plan

Life insurance

Monthly voucher for meals, culture, education

Child care assistance

Qualificações

• At least 3 years of experience as a Data Engineer.
• Hands-on experience in developing and optimizing data pipelines.
• Effective English communication - able to explain technical and non-technical concepts.

Responsabilidades

• Develop and optimize scalable, high-performing data pipelines.
• Identify opportunities to enhance internal processes and implement automation.
• Guide and mentor junior engineers.

Conhecimentos

Data pipeline development

SQL

Communication skills

Team collaboration

Formação académica

BSc, MSc, and/or PhD in Statistics, Mathematics, Physics, CS

Ferramentas

Python

Cloud platforms (AWS, GCP, Azure)

Big data tools (Hadoop, Spark)

Docker

Kubernetes

Descrição da oferta de emprego

Who We Are

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.

In January 2023, TELUS Digital acquired WillowTree, creating a combined firm with service offerings spanning Customer Experience and Digital Solutions.

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.

The Opportunity

As 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.

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
• Act as a guide and mentor to junior engineers, supporting their professional growth and fostering an inclusive working environment
• Collaborate with cross-functional teams to ensure data quality and support data-driven decision-making to strive for greater functionality in our data systems
• Collaborate with project managers and product owners to assist in prioritizing, estimating, and planning development tasks
• Provide constructive feedback, and share expertise with fellow team members, fostering mutual growth and learning
• Engage in ongoing research and adoption of new technologies, libraries, frameworks, and best practices to enhance the capabilities of the data team
• Demonstrate a commitment to accessibility and ensure that your work considers and positively impacts others

Qualifications

• BSc, MSc, and/or PhD in Statistics, Mathematics, Physics, CS, or another related subject
• Experience 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 Engineer
• Have actively participated in the design and development of data architectures
• Hands‑on experience in developing and optimizing data pipelines
• Experience working with databases and data modeling projects, as well as practical experience utilizing SQL
• Effective English communication - able to explain technical and non-technical concepts to different audiences
• Experience with a general‑purpose programming language such as Python or Scala
• Ability to work well in teams and interact effectively with others
• Ability to work independently and manage multiple tasks simultaneously while meeting deadlines

Bonus Points

• Cloud platforms and services, such as AWS, GCP, or Azure
• Big data tools such as Hadoop, Spark or Kafka
• Orchestration tools such as Airflow
• NoSQL databases
• Containerization technologies such as Docker and Kubernetes
• Agile development environment and familiarity with Agile methodologies

Why TELUS Digital ?

In addition to being part of an international and innovative consultancy company,you will have:

• Flexible hours and autonomy
• Work with cutting edge technologies
• Partner with global and relevant brands in the market
• Collaborative team and learning ecosystem

Some of our benefits:

• Health and dental plan
• Life insurance
• Monthly voucher for meals, culture, education, health and mobility
• Child care assistance and more!

Equal Opportunity Employer

At 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.