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The Data Engineer will build and maintain data pipelines using Python, PySpark, and AWS services in a 12-month contract role based in Madrid. The position requires proficiency in both Spanish and English.
Follo is seeking a Data Engineer to design, build, and maintain scalable ETL/ELT pipelines and data infrastructure using Python, TypeScript, and Google Cloud Platform. The role involves integrating LLMs into data workflows and optimizing cloud costs while working in a hybrid environment.
The Senior Data Engineer will design, build, and maintain scalable data pipelines and infrastructure using AWS, Python, and SQL to support analytics and AI initiatives. The role involves optimizing data warehouses and ensuring data quality and governance within a cross-functional team.
The Data Engineer will design and build scalable, cloud-native data platforms and ingestion pipelines using Python, Spark, and cloud technologies. The role involves optimizing data infrastructure, implementing CI/CD practices, and collaborating with ML teams to support AI-ready data workflows.
Senior DevOps Engineer at Bain’s Coro team builds and maintains Azure cloud infrastructure, CI/CD pipelines, and operational reliability for Bain’s proprietary digital solutions. Focuses on automation, security, and scalable deployments for global platforms.
The Data Engineer will develop and maintain an AWS-based data platform, focusing on building and operating data pipelines using tools like S3, Redshift, and Apache Airflow.
Solstice is seeking a Data Engineer to build and own the end-to-end data foundation for their pharmaceutical marketing and media measurement platform. The role involves designing pipelines to ingest, reconcile, and model complex third-party data using Python, SQL, and modern cloud data stack tools.
This Data Engineer role focuses on designing and maintaining ETL/ELT pipelines using Snowflake to integrate and automate data processes. The position is a 6-month remote contract requiring expertise in SQL, data quality validation, and reporting tools.
The Data Engineer will design, build, and maintain scalable data pipelines and ETL processes to support business intelligence. The role requires expertise in Python, SQL, Snowflake, and Azure cloud services.
This Data Engineer role involves designing and building scalable data pipelines and ETL/ELT workflows using Snowflake, Python, T-SQL, and DBT. The position requires at least four years of experience and focuses on maintaining data architecture and supporting self-service reporting in a collaborative, cloud-based environment.
Senior Data Engineer at EY designing, building, and operating enterprise-scale AWS Lakehouse platforms using Spark, dbt, Iceberg, and QuickSight to deliver analytics, reporting, and AI-ready data solutions for clients.
Senior Data Engineer designing, building, and maintaining scalable data pipelines and platforms on AWS using Python and SQL to support BI, analytics, and AI initiatives.
Design, build, and maintain scalable data pipelines and cloud-based data platforms on AWS using Python, collaborating with analysts and scientists to support analytics and BI initiatives.
Join the Crew. With a job tailored to you. Als »DATA ANALYTICS« Abteilung besteht unsere Hauptaufgabe darin, der #TTCrew den Umgang mit Daten zu ermöglichen. Dafür stellen wir benötigte Datenquellen bereit und sorgen…
The Engineering Manager will lead the delivery of complex data platform and analytics projects, coordinating between technical teams and business stakeholders. The role requires hands-on expertise in Snowflake, dbt, Airflow, and CI/CD practices.
Role: Senior Data QA Engineer Reporting To: Head of Data Salary: £75,000–£85,000, dependent on experience Working Location: 1 - 2 days a week, hybrid to London office PropTech | SaaS | Data Engineering About Searchland…
Lead a team to design and maintain DWS’s hybrid data platform using Snowflake, Kafka, Airflow, and Python/SQL.
The Lead Engineer for the Data Platform will design and manage a hybrid enterprise data platform using Snowflake, Apache Airflow, and Kafka. This role involves leading a team, setting technical roadmaps, and ensuring high standards for data reliability, security, and observability.
The Data Platform Engineer will design, build, and optimize a cloud-based data platform using Snowflake, Terraform, dbt, and Airflow. The role involves creating end-to-end data pipelines and collaborating with cross-functional teams in a hybrid work environment.
Ironhack is seeking a part-time Lead Instructor to teach their remote Data Engineering bootcamp, covering the full data pipeline lifecycle using tools like Python, SQL, Airflow, dbt, and Spark.
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