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Data Engineer
Build and maintain cloud-based data pipelines and ETL workflows in Azure and Microsoft Fabric to ingest, transform, and deliver marketing data for B2B analytics and client reporting.
Data Engineer
Designs and builds scalable data pipelines on AWS to extract insights for a government client, using Python, PySpark, and cloud-native tools while maintaining strict security compliance.
Data Engineer (GovCon | Public Trust Eligibility)
Design and maintain scalable data pipelines and ETL workflows using Python, PySpark, Databricks, and AWS services to build secure, compliant data platforms for federal clients.
Hybrid Data Engineer - AWS PySpark & ETL
A Data Engineer designs, builds and optimizes scalable data products using PySpark and AWS services to enable analytics and strategic decision-making.
Hybrid Data Engineer: PySpark & AWS for Scalable Analytics
Data Engineer building PySpark ETL pipelines on AWS (EMR, Lambda, EC2) to power reporting and analytics for DWP Digital, utilizing a hybrid work model.
Hybrid Data Engineer – PySpark on AWS
Develop scalable AWS data solutions and design PySpark ETL pipelines using EMR, Lambda, and EC2 to power reporting, analytics, and strategic decision-making in Manchester.
Data Engineer: PySpark on AWS for Scalable Analytics
Data Engineer building scalable PySpark ETL pipelines on AWS (EMR, Lambda, EC2) in a hybrid cloud/legacy environment to support reporting and analytics for DWP Digital's MI team.
Senior Data Engineer - Hybrid London | Large Pipelines
Senior Data Engineer at WeDoTech in London to drive modernisation of large-scale data pipelines and workloads using Spark/PySpark, Python, and AWS in a complex enterprise environment.
Data Engineer (Databricks / Snowflake)
Builds and supports data pipelines and models (Data Vault 2.0, Kimball) using Databricks or Snowflake, SQL, and Python within regulated financial services, focusing on client delivery and production data platforms.
Lead Data Platform Engineer
Lead the design, delivery, and security of a cloud-based data platform for a healthcare consultancy, using Databricks and OCI to build scalable, compliant pipelines and mentor a team of data engineers.
Senior/Lead Data Engineer
Hands-on Senior/Lead Data Engineer building and modernising large-scale data pipelines using Spark, PySpark, and Python on AWS in a hybrid London role.
Data Engineer
Build and optimise data pipelines using Microsoft Fabric and Databricks Lakehouse, creating ETL workflows with PySpark and SQL for enterprise analytics.
Data Engineer — PySpark & AWS Data Pipelines
Builds PySpark ETL pipelines on AWS to deliver scalable data products for government reporting, ensuring quality and security in a hybrid cloud setup.
Product Owner Júnior (Tesouraria) - Campinas/SP- Campinas/SP
Product Owner júnior na área de Tesouraria do Agibank, definindo estratégias de produtos financeiros, priorizando backlog e colaborando com times de desenvolvimento usando SQL, Power BI e metodologias ágeis.
Senior Data & Analytics Engineer - Real‑Time Healthcare (Azure)
You will design and implement scalable data solutions using Databricks, PySpark, SQL, and Azure technologies for a healthcare data platform, transforming raw data into actionable dashboards and data products.
Real-Time Data Platform Engineer (Azure/Databricks)
A senior data platform engineer designs and implements scalable end-to-end data solutions for healthcare analytics using Databricks, PySpark, and SQL on Azure, building real-time and batch pipelines and creating actionable dashboards.
Sr Python Developer - Trading / Risk Platforms
Senior Python Developer building backend applications and data processing pipelines for trading and risk management systems in investment banking at CRISIL's London office.
AI Data Engineer
Senior AI Data Engineer building ETL pipelines, data warehouses, and AI/ML infrastructure using Python, SQL, Spark, cloud platforms (AWS/Azure/GCP), and Generative AI technologies like LLMs, RAG, and vector databases.
Pleno Data Engineer Azure (híbrido SP)
Works as a Data Engineer building and maintaining data pipelines in Azure and Databricks environments, collaborating with business areas to ensure data quality, security, and governance. Core technologies include Azure, Databricks, SQL, and Python.
Data Engineer
Builds and maintains scalable RAG pipelines and ETL/ELT workflows in AWS, using Python, Prefect, ElasticSearch, and NiFi to support federal AI and analytics workloads.