Data Engineering Manager
Há 2 dias
Location and Flexibility
This is a hybrid role. This model requires the ability to work in a hybrid mode from one of our offices in São Paulo (2 times/ week or 8 days/ month) or Porto Alegre (3 times/ week or 12 days/ month). Our WFN culture is designed to foster in-person innovation, collaboration, and connection with team members local and visiting from other global offices.
The OpportunityAs a Data Engineering Manager, you'll be the leader of one or more Data Engineering and Analytic teams building amazing data and AI-powered products for our clients, and you'll help them achieve their personal and professional goals. You'll also drive the team and our clients to use cutting-edge techniques and processes for the development of data solutions, and use your technical prowess to shape our deliveries. Success looks like an energized, happy team building high-quality data science and AI solutions for eager, engaged client stakeholders.
Responsibilities- Provide technical guidance to teams and projects for international clients.
- Be a mentor and a leader for Data Engineers and Analytics Engineers, helping them grow in their career via goal-setting, coaching, and feedback.
- Lead and mentor cross-functional teams to deliver high-quality data and analytics solutions while fostering collaboration and growth.
- Apply your knowledge of data engineering and analytics to develop solutions that directly address and resolve business problems.
- Work alongside Data Scientists and Gen AI Engineers in data and AI projects
- Stay up-to-date with data and analytics trends, tools and frameworks, introducing innovations and process improvements to teams when appropriate.
- Maintain strong relationships with clients and internal teams, advocating for the best use of Data and AI practices
- Help develop the Data and Analytics practice in the company and support the growth of the team
- You are driven by curiosity and enthusiasm about learning new technologies.
- Foster team autonomy and proactive engagement.
- Have 5+ years of professional experience in Data Engineering or Analytics, developing data solutions.
- Have managed a team of engineers building digital products and have been responsible for growing the people on the team through goal-setting, coaching, and feedback.
- Are comfortable having difficult conversations and always have your clients' and teammates' best interests in mind.
- Have familiarity with CI/CD, Agile techniques for managing work, quality assurance, testing, and data evaluation.
- Have owned the delivery of a complete data project with code, models, or pipelines that are durable, improvable, secure, scalable, and thoroughly tested.
- Can simplify and communicate about complex problems around technology, business processes, user experience, and development tasks.
- You've worked in a client services environment (e.g., digital agency).
- Experience conducting interviews and hiring for your team.
- Experience consulting with teams on best practices.
- Are comfortable collaborating and communicating with teams and clients to deliver software in an agile environment
- Think of the product you are building as part of an ecosystem of development, testing, and deployment tools and processes
- Pride yourself on your work and take responsibilities and commitments seriously
- Value daily opportunities to immerse yourself deeply in your work
- Celebrate differences and thrive in an environment where everyone's unique contributions are encouraged
- Value a feedback culture that fosters personal and professional growth
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