Data engineering and AI services for enterprise cloud migration and analytics
Jump operates a mid-market data and engineering services firm in Brazil, with a tech stack built around Google Cloud (Vertex AI, BigQuery, Dataflow, Pub/Sub), AWS (SageMaker), and modern data tooling (dbt, Looker, Power BI). The hiring profile is heavily weighted toward engineering (24 roles) and data specialists (22 roles) at senior and mid levels, reflecting active work on large-scale projects: MDM implementations, legacy-to-ERP migrations, and AI reference architectures. The pain-point cluster around data governance, cloud cost optimization, and big-data platform stability suggests clients are scaling analytics infrastructure while managing technical debt.
Notable leadership hires: Tech Lead Backend, Tech Lead, Technical Lead
Jump is a technology services firm founded in 2014 and based in São Paulo, Brazil, with 201–500 employees. The company specializes in data science, business intelligence, machine learning, and product development, serving enterprise clients across Latin America. Core service areas include data pipeline engineering (Pub/Sub, Dataflow, BigQuery), analytics and dashboarding (Looker, Power BI), AI/ML solutions (leveraging Vertex AI, OpenAI, LangChain), and cloud infrastructure on Google Cloud and AWS. Active engagements span MDM implementations, ERP migration projects, and customer data transformation initiatives. The company is actively hiring across engineering and data disciplines, with accelerating velocity.
Jump's stack centers on Google Cloud (Vertex AI, BigQuery, Dataflow, Pub/Sub), AWS (SageMaker), and data tools (dbt, Looker, Power BI). Backend: C#, NET Core, ASP.NET. Frontend: JavaScript, Vue, Next.js. Mobile: Flutter. Databases: SQL Server, NoSQL.
Current projects include MDM implementation, legacy-to-ERP migration, AI reference architecture for LATAM, data pipelines via Pub/Sub and Dataflow, BigQuery data modeling with dbt, Looker/Power BI dashboards, and customer data transformation for enterprise clients.
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