What are the responsibilities and job description for the Senior Data Engineer | Unverified Partner Content Team position at Jobgether?
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer | Unverified Partner Content Team in Brazil.
This role sits at the core of a fast-growing data organization focused on powering AI-driven products and partner intelligence at scale. You will design and maintain the data foundations that enable high-quality generative AI experiences, ensuring that diverse partner information is accurately collected, processed, and transformed into actionable insights. Working across engineering, product, and analytics teams, you will build robust pipelines and scalable data models that support both internal decision-making and customer-facing features. The environment is highly collaborative, experimentation-driven, and impact-oriented, where learning fast and iterating is part of the daily workflow. You will also play a key role in improving data quality, consistency, and accessibility across the ecosystem. This is an opportunity to directly influence the reliability and intelligence of a global platform used by millions.
You will be responsible for building and maintaining the data infrastructure that powers AI features and partner intelligence, ensuring data is reliable, scalable, and actionable across the organization.
- Design, develop, and maintain scalable data models that support efficient querying and analytics.
- Build and optimize data pipelines to ingest, transform, and process large volumes of multi-format data (text, image, audio, video).
- Enrich raw data with business context and semantic meaning to improve usability across teams and products.
- Implement automated data quality checks to ensure consistency, accuracy, and reliability across the data lifecycle.
- Collaborate with engineering, product, and analytics teams to define data requirements and deliver effective solutions.
- Support the creation of a data-driven ecosystem enabling insights for AI models, business intelligence, and product features.
Requirements
You should bring strong experience in data engineering within complex, distributed environments, with a solid understanding of scalable data systems and pipeline architecture. The role requires both technical depth and the ability to collaborate across multidisciplinary teams.
- Experience building scalable and robust data models based on business requirements.
- Strong hands-on experience with data pipeline technologies such as Airflow, EMR, or Kafka.
- Proficiency in working with big data systems and distributed data processing concepts.
- Ability to design, develop, and maintain end-to-end data pipelines at scale.
- Experience collaborating with engineering, product, and analytics teams to define requirements and deliver solutions.
- Strong analytical mindset with attention to data consistency, quality, and integrity.
- Ability to translate complex data challenges into structured technical solutions.
- Comfortable working in fast-paced, iterative, and collaborative environments.
Benefits
- Flexible work environment with remote and hybrid options depending on team setup.
- Comprehensive health, dental, and life insurance coverage.
- Wellness programs including fitness, mental health, and therapy support resources.
- Flexible schedule allowing teams to align work with personal routines and time zones.
- Generous paid time off, including vacation days, additional annual leave, and birthday leave.
- Paid parental leave with extended support for new parents.
- Home office support to help set up an optimal remote workspace.
- Career development opportunities, learning platforms, and internal mobility paths.
- Inclusive, collaborative culture focused on wellbeing and continuous growth.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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