1184 - Senior Data Engineer

Role overview

Build and maintain data pipelines and analytics solutions, with hands-on work across data processing, reporting, and governance. You’ll collaborate with software developers and IT teams to deliver analytics projects and improve the reliability of data workflows.

Responsibilities - Design, build, and maintain pipelines and analytics solutions in Databricks. - Write and optimize SQL and Python for data processing and analysis. - Apply DevOps and CI/CD practices to data workflows. - Create and support Power BI reports and dashboards. - Contribute to data modeling, management, and governance standards. - Coordinate with developers and IT colleagues while staying involved in day-to-day technical work.

Requirements - At least five years of experience in data analysis, data engineering, or a similar role. - Background in software development or IT projects focused on data analytics. - Practical SQL and Python skills, with experience working alongside developers. - Extensive hands-on experience with Databricks and advanced user-level experience with cloud platforms. - Familiarity with DevOps tools, CI/CD, and data visualization tools such as Power BI. - Strong understanding of data modeling, management, and governance; business-fluent English.

Nice to have - Experience with Spark SQL. - Exposure to SAP S/4HANA or other ERP data.

Benefits and work setup - Remote, full-time contract based in Latin America, for an initial one-year project with possible extension. - Monthly compensation is listed at USD 3,000–4,500, depending on experience and skills.