This role has closed. Jobgether has taken the posting down.
hirly last saw it live on 9 October 2026. See similar open roles below, or browse all Data Engineer jobs.
Jobgether
Databricks Data Engineer | Senior
Brazil
Similar open jobs
- [Job-32192] Senior Data Engineer - DatabricksCiandt · BrazilFirst seen todayremote
- [Job-00021] Senior Data Engineer, BrazilCiandt · BrazilFirst seen todayremote
- Senior Data EngineerSpecialized · BrazilFirst seen 13d ago
- Senior Data Engineer (Remote in Brazil)Knowbe4 · BrazilFirst seen 15d agoremote
- DATA ENGINEER III | DATA & AI PLATFORM GLOBAL MGInter · Belo Horizonte, MG; São Paulo, SPFirst seen today
- SR Data EngineerElectrolux · CuritibaFirst seen 4d ago
- Senior Data Engineer - Superior Retail ExecutionPg · WARSAW PLANT & GOFirst seen 6d ago
- Senior Data Engineer | Azure Data Platform (English Required)Accenture · Sao Paulo, Torre PaineiraFirst seen 6d ago
- Senior Data Engineer (Apache Kafka)EY · São Paulo JK, SP, BRFirst seen 8d ago
- Senior Data Engineer, Data LakeVisa · BR - Remote - BrazilFirst seen 9d agoremote
- Senior Data EngineerEncora10 · CampinasFirst seen 9d agoremote
- Senior Data EngineerBpinternational · Brazil - São PauloFirst seen 13d ago
- DATA ENGINEER III Inter · Belo Horizonte, MGFirst seen 14d ago
- Staff Data Engineer (Remote in Brazil)Knowbe4 · BrazilFirst seen 15d agoremote
- Senior Data Engineer (Brazil)Klar · RemoteFirst seen 16d agoremote
hirly's read of this role
- Role family
- Data & ML
- Seniority
- Senior
- Country
- BR
- Work mode
- Remote-friendly
- First seen by hirly
- 8 Oct 2026
Derived automatically from the posting.
the posting
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Databricks Data Engineer | Senior based in Brazil.
This is an opportunity for a senior data professional to design, migrate, and evolve modern data engineering solutions using Databricks. You will build scalable and reliable pipelines that transform raw data into high-quality, business-ready assets. The role involves working across Spark, PySpark, SQL, Delta Lake, and Lakehouse architectures. You will contribute to data platform modernization initiatives, including migrations and the implementation of Medallion architectures. Your work will directly support data-driven decision-making by translating business requirements into robust technical solutions. The environment emphasizes performance, reliability, monitoring, automation, and strong engineering practices. This is a strong fit for someone who enjoys solving complex data challenges and working with modern cloud data technologies.
Listed on hirly, a job board. hirly is not the employer: Jobgether is hiring for this role.