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Lead Data Engineer
Lead Data Engineer (first senior data hire) for an AI platform in the property sector, architecting scalable real-time and batch data pipelines, vector search, and ML data workflows using Python, PostgreSQL, and distributed systems.
Data Engineer - AWS, Spark & AI
A Data Engineer role at Datatech Analytics, responsible for designing and optimizing scalable data pipelines using AWS, Spark, Python, and SQL, collaborating with teams to build data solutions and leverage AI-assisted development tools.
Аналитик данных
Автоматизация бизнес-планирования: анализ и оптимизация драйверных моделей в Excel/SQL, разработка меппингов и витрин данных для 500+ параметров, внедрение автоматизированных процессов и обучение бизнес-пользователей.
Data Scientist / MLOps Engineer - 100% teletrabajo
Builds and deploys ML models, designs data pipelines (batch/realtime), and optimizes performance using Python, Spark, SQL, and FastAPI in a 100% remote role.
Data & AI Software Engineer (m/f/d)
Build and operate data pipelines for reports, analytics, and machine learning, ensuring quality and scalability, while collaborating with cross-functional teams.
Consultor Data Engineering
Freelance Data Engineering consultant for an international project, responsible for designing and maintaining cloud data pipelines using AWS, PySpark, Python, SQL, Airflow, Docker, and ECS.
Senior Data Engineer - Data Platform team (100% Remote within Spain)
Senior Data Engineer on the Data Platform team designing, building, and operating scalable data pipelines; core technologies include Airflow, AWS, dbt, Kubernetes, Terraform, and streaming (RabbitMQ/Kafka).
Senior Data Engineer (AWS)
Senior Data Engineer maintaining and evolving a corporate Data Lake on AWS, designing batch and streaming data pipelines with Spark, Python, and Kafka for banking and insurance sector clients.
Senior data Engineer (M/F)
Senior Data Engineer building scalable data pipelines on Azure, implementing storage/processing solutions, automating ingestion/transformation, and ensuring data quality. Core technologies include Azure, Azure Databricks, Azure Data Factory, Python, Apache Spark, and SQL.
AWs Data Engineer - Lawrence Harvey
Senior Data Engineer designing and building scalable AWS-based data platforms, working with Python, Spark, and various AWS services like S3, Lambda, and Glue.
Data Engineer
Build and optimize large-scale data pipelines on AWS using PySpark, Kafka, and Spark Streaming to process and transform high-volume datasets in real time.
Data Engineer (Fabric) - Remoto
Design and implement data pipelines and architecture in Microsoft Fabric for a logistics client, focusing on data ingestion, transformation, and BI modeling using Spark, Python, and SQL.
Data Engineer (Fabric)
Data Engineer designing and implementing a Medallion architecture from scratch in Microsoft Fabric for a logistics client, building robust data pipelines with Spark, PySpark, and SQL.
Senior Data Engineer
Senior Data Engineer designing and building data solutions, ETLs with Spark (Python/Scala), cloud-based pipelines on Azure/AWS, and data transformations with DBT for a global tech consultancy.
Data Engineer / Architect
Data Architect designing and leading scalable data platforms, end-to-end data flows, and architectural standards on Azure/AWS using big data tools like Spark and Databricks within an agile international squad.
Full Stack Developer (.NET + Angular)
The Full Stack Developer will build and maintain web applications using Angular and ASP.NET Core, while managing cloud infrastructure and CI/CD pipelines on Microsoft Azure. The role involves designing secure APIs, optimizing SQL databases, and collaborating within an Agile team environment.
Senior Account Manager, Performance Marketing
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Account Manager, Performance Marketing based in Canada. You will own the…
Platform Architect (P4/P5)
Designs and evolves scalable cloud platforms for global pharmaceutical/life sciences clients using AWS/Azure, Kubernetes, Terraform, and CI/CD, blending hands-on architecture with client advisory, technical leadership, and project ownership.