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Engenheiro de Dados Cloud Pleno
Mid-level cloud data engineer in São Paulo migrating data platforms from Teradata to Databricks Lakehouse, modernizing ETL/ELT pipelines, and processing CRM/marketing campaign data. Core stack: Python, PySpark, SQL, Spark, Unity Catalog, and cloud (Azure/AWS/GCP).
Data Scientist
Data Scientist at AgencyBloc (insurance agency management SaaS) builds and migrates revenue reporting onto a Databricks lakehouse, automating pipelines from HubSpot and Sage Intacct with Python and SQL, reconciling data quality, and supporting forecasting, commissions, and metric governance. Remote-friendly role based in Cedar Falls, IA.
Data analytics engineer
Data analytics engineer at Meat&More, a Belgian food company, joining a 9-person BI team to translate business needs into reusable datasets, ETL pipelines, and data models, primarily using Databricks, Azure Data Factory, SQL, and Python to support advanced analytics, ML, and AI initiatives.
Junior Data Engineer
Contract role for a junior/mid-level data engineer at Invene, a remote-first U.S. healthcare software consultancy. You'll build ETL/ELT pipelines and data models (Microsoft Fabric, PySpark, SQL) across varied client projects, working with AI coding tools like Claude Code or Codex.
Technical Product Manager
Product manager at an early-stage AI company building an AI-powered data platform for data engineering teams. Defines roadmap from customer discovery, works with UX and engineering to ship GenAI features, and supports sales and marketing. Hybrid in Sunnyvale; requires modern data stack (dbt, Snowflake, Spark) and LLM/RAG experience.
Data Engineer: Cloud Pipelines, ML & Analytics
Data engineer at Curve Analytics in London building cloud data pipelines, data models, and analytics solutions with Python, PySpark, and SQL across Databricks, Snowflake, and AWS, while supporting global analytics programmes and helping productionise ML models and APIs.
Lead Data Engineer — AI Data Platform & Pipelines
A hands-on Lead Data Engineer at Sahaj owning end-to-end delivery across a data platform, pipelines, and architecture in a fast-growth environment, building scalable data products from diverse sources using Databricks, Spark, HDFS, and Snowflake, with a strong emphasis on code quality, CI/CD, and cloud platforms.
Director of Data Engineering
Director of Data Engineering owning WGSN's data platform — its architecture, data models and day-to-day operations. Leads a team of five data engineers, builds the 'trend spine' linking trend signals, taxonomies, forecasts and content, integrates social/search/imagery data, and lays AI-ready foundations for upcoming data products.
Data engineer in consumer analytics
Data engineer at Curve, a consumer insights and analytics consultancy in London: builds automated data pipelines and solutions in Python, PySpark and SQL on Databricks, Snowflake and AWS, helps productionise ML models, and works with client teams to analyse digital consumer data such as social, search and clickstream.
Senior Data Engineer
Senior data engineer at a specialist consultancy serving the investment and private-equity sector, embedding with portfolio companies to design, build and deploy ML solutions (pricing, sales optimisation, fraud reduction). Core stack: Python, SQL, cloud (AWS/GCP/Azure), Databricks and MLOps practices.
Junior Data QA Engineer – SQL, Python & AI Tools
Entry-level data QA tester at Axos Business Center in Manila: executes defined tests, writes SQL queries, and documents results under senior mentorship, while following a structured learning path into Python and Databricks and using AI-assisted tools to draft and review test cases in an agile team.
Data QA Engineer: Pipelines & AI-Driven Testing
Data QA Engineer at Axos Business Center in Manila who independently designs and executes tests for data work items under a Data QA Lead, validating data pipelines built with SSIS, dbt, Fivetran and Databricks, running QA gates, and logging defects in Azure DevOps while working with analysts and developers.
Junior Data QA Engineer
Entry-level data QA tester at digital bank Axos, working in a shared pool under a senior engineer or Data QA Lead. Executes data validation, regression, and source-to-target tests, writes SQL queries to verify reconciliations, logs defects in Azure DevOps, and progresses through a certification track covering SQL, Python, and Databricks.
Intermediate Data QA Engineer
Data QA engineer at Axos (a US digital bank) working in a delivery team under a Data QA Lead: designing and running data validation, integration, regression and source-to-target tests across SSIS, dbt, Fivetran, Python and Databricks pipelines, logging defects in Azure DevOps, and building automated regression checks.
Data Engineer (Databricks) - Healthcare
Design, build, and optimize scalable data pipelines and analytics platforms in Databricks for healthcare datasets, handling ETL/ELT, data integration, quality, and compliance. Core skills: Databricks, SQL, and healthcare-industry data engineering experience.
Azure Data Engineer
An in-house Azure Data Engineer at JG Summit who builds and maintains scalable enterprise data pipelines using Azure Databricks, Data Factory, and PySpark, implements Medallion-architecture data lakes, supports pipelines in production, secures data access, and mentors the team.
Databricks Data Engineer: Marketing Analytics & Pipelines
Data Engineer on Axos Financial's Platform team in Manila, building and operating Databricks pipelines (Delta Lake, Unity Catalog) that ingest data from enterprise systems and APIs for marketing analytics. Work centers on SQL/Python optimization, data quality, CI/CD, monitoring, and mentoring teammates.
Data Engineer – Marketing Data & Analytics
Builds and operates batch and incremental marketing data pipelines on Databricks (Delta Lake, Unity Catalog, Workflows, PySpark, SQL) for Axos, a US digital bank, producing certified tables for analysts and data scientists. Requires 3+ years of production Databricks experience and the Databricks Certified Data Engineer credential.
Healthcare Data Engineer: Databricks Pipelines
A data engineer designs, builds, and optimizes healthcare data pipelines and analytics platforms on Databricks — handling ETL/ELT and data integration, and supporting stakeholder reporting and analytics while ensuring data quality, security, and compliance.
Senior Data Engineer — Cloud & Lakehouse Pipelines
Senior Data Engineer at Ugnay Solutions in the Philippines, building and optimizing scalable cloud lakehouse data pipelines with Azure Databricks, PySpark, SQL, and Delta Lake to deliver analytics-ready datasets for reporting and BI, while improving data performance, security, and governance.