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Engenheiro de Dados SR
Você é movido(a) por tecnologia, dados e inovação? 🚀 Na Triggo.ai, transformamos desafios complexos em soluções inteligentes. Somos uma empresa brasileira focada em Analytics , IA e transformação digital, ajudando…


Senior Data Platform Engineer - Enterprise Systems
Astranis (satellite manufacturer) seeks a San Francisco-based Senior Data Platform Engineer to architect its core data platform: building unified logging/observability pipelines, dbt-based data models, and governance that unify telemetry, manufacturing, and ERP data. Core stack: Python, PostgreSQL, BigQuery/Snowflake, dbt, and orchestrators like Airflow.
Engenheiro de Dados Sênior
Senior Data Engineer working 100% remotely to build and evolve data pipelines on Azure and Databricks (Python, PySpark, SQL, Medallion architecture) and to drive AI adoption across the group's data engineering area, acting as a technical reference and spreading best practices.
Senior Software Engineer – Platform & Data Infrastructure
Senior Software Engineer responsible for architecting, scaling, and maintaining ID.me's cloud-native platform and data infrastructure, focusing on multi-region Kubernetes, GitOps pipelines, Infrastructure as Code (IaC), policy-as-code governance, and enterprise data workflows (Apache Airflow, Kafka, BigQuery).
Sr BI Analytics Designer
Senior BI & Analytics Designer at Molson Coors in Milwaukee, WI, partnering with business stakeholders to design, build and scale cloud data and analytics products, support production analytics platforms, and lead migration from legacy tools to modern cloud platforms. Core stack: Databricks, dbt, Airflow, Power BI, SQL, Git; hybrid with 4 days in office.
Data Engineer
Data engineer on Ocado Technology's Modelling & Transformation team, building and maintaining the enterprise data warehouse that powers analytics, reporting, ML, and partner data products. Day-to-day: designing dbt-based ELT/ETL pipelines, dimensional models, and data quality checks, while optimising cloud warehouse (BigQuery) performance. Hybrid role based in Hatfield, UK.
Data Engineer Senior – Data & AI
Senior Data Engineer for Grupo Tecdata's Data & AI practice in Madrid (hybrid, remote possible): designs, builds and operates batch/streaming data pipelines and lakehouse platforms on cloud data platforms (Databricks, Snowflake, BigQuery) using SQL, Python, Spark, dbt, Airflow and Terraform, acting as technical lead on client projects.
Senior Data Engineer
Senior Data Engineer at Fadata (insurance core-software vendor) will design, build, and scale the data platform powering the company's AI and data strategy — building Python/SQL data pipelines, curating and governing data assets, and developing RAG/vector-retrieval pipelines using Airflow, Spark, Kafka, Oracle, and cloud services (AWS/Azure/GCP).
Data Engineer: ETL Pipelines, Snowflake & Airflow — Remote
Data Engineer at Ersilia in Jerez de la Frontera (hybrid or remote within Spain) building data pipelines, modeling, and orchestration with Airflow on a modern cloud stack using Snowflake and Azure Data Factory. Permanent, full-time contract from day one.
Data Engineer | Databricks
Data Engineer at a growing technology consultancy in Jerez de la Frontera, Spain, with flexible office/remote work within Spain. You design and run scalable ETL/ELT pipelines and data models using Snowflake, Databricks, Azure Data Factory, Airflow, Python and SQL, integrating sources like IoT platforms and ERP systems.
AI Factory Engineer - DevOps/MLOps
DevOps/MLOps engineer in BSC's AI Factory, building the operational backbone for production AI: CI/CD pipelines, monitoring/observability, IaC automation, model registries, and release management for ML and GenAI services. Core stack includes Docker/Kubernetes, IaC, and MLOps tooling such as MLflow, Kubeflow, Airflow, and ArgoCD.
Software Developer - Applications
Full-stack software developer building cloud-native enterprise applications for Nakisa's HR, financial, and real estate platform used by Fortune 1000 companies. Day to day: design and build backend services in Java/Spring Boot plus frontend components (Vue.js), optimize APIs and database schemas, and ship in an Agile, TDD team with AI-assisted tooling.
Senior Data Engineer
Senior Data Engineer building and scaling Zip's cloud data platform: owning end-to-end batch/streaming pipelines, dimensional and lakehouse data models, and data quality for analytics, risk, and finance. Core stack includes SQL, Python, Snowflake/Databricks, dbt, Airflow, Kafka, and Azure/AWS. Remote-first within the US, with a Manhattan office option.
Software Developer - Cloud Platform
Software Developer on the Platform Engineering team building and maintaining cloud-native backend services and frontend components for Nakisa's enterprise SaaS platform, using Java, Spring Boot, Vue.js, and microservices architecture in a hybrid Montréal setting.
Data Engineer Confirmé (Cloud Snowflake) F/H h/f
Confirmed data engineer at consulting firm VISEO: designing and orchestrating scalable, secure data pipelines in Snowflake, integrating with Azure/GCP, and advising clients on modern data platform architecture, migrations, and FinOps. Core stack: Snowflake, Python, Airflow, DBT, Spark.
Senior Software Engineer, GRC
Senior engineer on Reddit's Privacy and Compliance Engineering team builds and maintains the software behind Reddit's security and compliance (GRC) programs — API integrations, scheduled data pipelines, and automated checks across cloud, identity, HR, finance, and ticketing systems — using Python/Go, SQL, and a major cloud platform (GCP helpful).
Senior Data Engineer
Senior Data Engineer in Toronto building and maintaining a client's core data platform: pipelines, warehousing, and ML infrastructure, plus automated reporting and dashboards. Stack centers on SQL, Python, Airflow, dbt, AWS (Redshift, SageMaker, S3, Lambda, Glue), MongoDB, and Looker.


Senior Data Engineer, AI Platform
Senior Data Engineer building and scaling Zip's Data & AI Platform using cloud data platforms (Snowflake, Databricks), Python, SQL, Kafka, and vector search/RAG to power analytics, ML, and GenAI workloads for a Buy Now, Pay Later company.