Senior Data Engineer building and maintaining robust data pipelines for various data products at Beep Saúde. Collaborating within the team and leading data governance practices.
About the role
- Senior Data Engineer building and operating data platforms at bsport for analytics and AI/ML. Collaborating with Data team to enrich data layers and maintain platform observability.
Responsibilities
- Build and operate the data platform (Databricks, Airflow, AWS): compute configurations, Unity Catalog, access controls, and cost management to keep it performant and reliable.
- Design and ship the ingestion layer bringing data from our operational systems (PostgreSQL, Kafka, SaaS tools) into the lakehouse data layer (with schema evolution, deduplication, and lineage tracking).
- Standardise ingestion patterns across batch and CDC use cases, so every new source follows the same playbook for reliability and observability.
- Build and maintain the observability framework covering platform health, pipeline SLAs, and data quality.
- Drive developer experience across the Data team: shared libraries, CI/CD for data assets, self-service tooling, and contribution standards that make everyone faster.
Requirements
- 5+ years of experience as a Data Engineer, with meaningful time spent on platform and infrastructure
- Deep hands-on experience with Databricks (Unity Catalog, Delta Lake, job compute) and Apache Airflow in production.
- Strong Python skills with a software engineering mindset: you write testable, maintainable code and hold others to the same bar.
- You've built or significantly improved ingestion systems: you know the failure modes and tradeoffs between batch and streaming approaches.
- Comfortable with AWS and Terraform for infrastructure provisioning.
- You care about developer experience: you've introduced tooling or processes that made your team meaningfully more productive.
- A proactive, problem-solving mindset
- Strong communication skills and fluency in English to collaborate across teams.
Benefits
- Attractive compensation package
- Competitive salary packages based on your experience and role.
- Hybrid model with remote days to support balance and flexibility.
- Enjoy up to 15 days of remote work from abroad each year.
- helloCSE: discount platform for fitness, shopping, culture, cinema, live events
- Multicultural colleagues, after-work events, team-building & more.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Software Developer in Test working on cloud - based data platform at Tecsys. Ensuring quality and reliability of data pipelines and transformations using automation frameworks.
Data Engineer responsible for designing, building, and optimizing data pipelines and architectures in a tech environment. Requires extensive experience with modern data warehousing and cloud platforms.
Lead Data Engineer role at Brillio focusing on AI & Data Engineering with expertise in Azure and MS Fabric. Collaborate within the Data Engineering team in Pune, Maharashtra, India.
Data Architect at Whiteshield designing scalable, secure data architectures for national and enterprise transformation programs. Architecting modern data platforms to support analytics, AI and operational use cases.
Data Engineer managing scalable data ecosystems for actionable business intelligence and cross - functional stakeholder collaboration. Optimizing ETL/ELT pipelines and ensuring data integrity and security.
Data Engineer specializing in data architecture and solutions for a banking environment, driving value for customers through innovative engineering practices and technologies in data management.
Technical Lead for data engineering and reporting in healthcare technology at Dedalus. Shaping innovative software solutions and leading cross - functional technical teams in Australia.
Senior ML Data Engineer working on data pipeline curation for Mobileye's autonomous vehicle dataset. Collaborating across teams to enhance ML engineering and vision model applications.
Data Engineer managing customer datasets to enhance industrial research and development. Responsible for ETL pipelines and data ingestion for the Uncountable Web Platform.