At Bridgenext, we engineer Growth Operating Systems. Most enterprises have spent millions on their revenue stack and still aren't seeing the growth they expected.They have tools that function, but no system that wins. We help growth-hungry companies close that gap by turning fragmented platforms, siloed teams, and disconnected data into one integrated Growth OS. More than a technology company or marketing agency, we're a global digital consultancy with experts in engineering, data, AI, creative and more.
Our teams are made up of experts who believe in engineering impact, starting with putting people at the center of everything we do. Every team member directly shapes our work, culture, and values. Nothing matters more to us than a kind, respectful, fulfilling environment that supports everyone. Our flexible, inclusive culture gives you the autonomy, resources, and opportunities to thrive.
We are looking for a talented and experienced Sr Data Engineer to join our team in LATAM.
Bridgenext is seeking a talented Data Engineer to join our team at Platform. As a Data Engineer, you will play a key role in building and maintaining our data infrastructure, enabling us to leverage our data effectively for business insights. This is an exciting opportunity to be part of a growing organization and contribute to building a robust data platform from the ground up.
Responsibilities include but are not limited to:
Develop and maintain data pipelines using MS Fabric
Implement transformations using notebooks (Python, pyspark, sql)
Experience with medallion data architecture
Experience building a data lakehouse (data lake + delta tables)
Work with various data sources, including CSVs, APIs, and automated activities
Implement ETL processes from OneDrive to bronze, silver, and gold layers using Delta tables
Persist the gold layer data to a SQL endpoint for Power BI users
Assist in data architecture and design decisions
Implement auditing and error handling mechanisms in data pipelines
Collaborate with the team to troubleshoot and resolve data-related issues
Participate in code reviews and ensure code quality
Support the testing phase and help resolve tickets
Contribute to architectural decisions and improvements
Workplace: LATAM
Technical Environment: Microsoft Stack, Fabric Notebooks, Delta Tables, SQL Endpoints, Power BI, OneDrive, CSVs, APIs
Must Have Skills:
Strong knowledge of the Microsoft stack
Experience with Microsoft Fabric
Experience with SQL
Familiarity with Python
Understanding of ETL processes
Experience with data warehousing concepts
Ability to work with various data formats such as CSVs and APIs
Basic understanding of Power BI
Ability to work hands-on and solve problems independently
Preferred Skills:
Familiarity with Delta tables
Understanding of data partitioning
Experience with Azure DevOps or GitHub
Professional Skills:
Bridgenext is an Equal Opportunity Employer