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Designs and maintains cloud-based data pipelines and infrastructure on Google Cloud, transforming raw data into actionable insights for media products. Core tech: Python, SQL, BigQuery, Dataproc, Kubernetes, and AI/ML tools.
The Data Engineer will design, develop, and maintain scalable ETL/ELT pipelines and data infrastructure using Microsoft SQL Server and Azure technologies. This role involves collaborating with BI and analytics teams to ensure high-quality data delivery for business reporting and processes.
LITY is seeking a Lead Data Engineer to build and scale their data infrastructure, including pipelines and data warehousing, while ensuring GDPR and HIPAA compliance. This role is fully remote within France and involves close collaboration with engineering, product, and business teams.
Experienced Data Engineer designing, developing and operating data platforms and pipelines with a focus on Snowflake, SQL and Python within an IT consulting firm.
This Data Engineer role involves building and maintaining data pipelines and BI solutions for an energy sector client using DBT, Snowflake, Airflow, and Power BI. The position focuses on industrializing data production, modeling, and performance optimization within a governed data fabric environment.
PRODYNA SE is seeking a Data Engineer to design and implement scalable data platforms and cloud-based solutions for clients. The role involves managing data integration pipelines, ensuring data quality, and supporting cloud transformation projects using technologies like Azure Data Factory, DBT, and various data modeling methodologies.
The Data Engineer will manage and scale the company's data platform, building robust pipelines and automating data processes using Python, SQL, and modern tools like GCP, BigQuery, and dbt. This role involves collaborating with cross-functional teams to ensure high data quality and accessibility across the organization.
As a Data Engineer at PRODYNA, you will design and implement scalable data platforms and cloud-based solutions for diverse clients. The role involves managing data integration, ensuring data quality, and supporting presales activities using technologies like Azure Data Factory, DBT, and cloud infrastructure.
The Cloud Data Engineer designs and implements scalable end-to-end cloud data platforms and pipelines for diverse clients. The role involves working with modern big data technologies like Spark, Databricks, and Snowflake while utilizing DevOps and IaC practices.
As a Data Engineer at PRODYNA, you will design and implement scalable data platforms and cloud solutions for diverse clients. The role involves data integration, pipeline development, and consulting on cloud transformations using tools like Azure Data Factory and DBT.
As a Data Engineer at PRODYNA, you will design and implement scalable data platforms and assist clients with cloud migrations and data integration. The role involves working across various industries using technologies like Azure Data Factory, DBT, and cloud-based data modeling frameworks.
Data Engineer at an IT consulting firm, designing and building modern data platforms, ETL/ELT pipelines, and supporting cloud migrations for clients across aviation, banking, and chemicals sectors.
Designs and implements data and AI solutions for client projects using modern data tech like Data Lake, Data Warehouse, and Machine Learning, advising on their effective use.
The Data & Backend Engineer will design and maintain data warehouse structures, build RESTful APIs, and implement AI pipelines to support business applications. The role focuses on backend architecture, data quality, and DevOps standards within a procurement and supply chain consultancy environment.
The Data Engineer will design, build, and maintain scalable data pipelines and analytical models using Microsoft Fabric to support business reporting and decision-making. The role involves collaborating with stakeholders to ensure high-quality, governed data is available for Power BI and advanced analytics.
The Data Engineer and Report Developer will design and implement data warehouse solutions, develop ETL workflows, and create reports using Microsoft Fabric, SQL Server, and Power BI for a Queensland Government client. The role involves gathering business requirements and establishing CI/CD pipelines to support BI and data engineering practices.
The Senior Data Engineer will build and maintain data ingestion pipelines, lakehouse structures, and CI/CD workflows using AWS and AI-focused technologies. The role involves establishing data engineering standards and implementing data quality and security controls within a hybrid work environment.
Senior Data Engineer responsible for maturing and supporting the data platform at an auto collision repair company, collaborating with IT, business stakeholders, and vendors using AWS, Airflow, SQL, and cloud DevOps practices.
Data Engineer consultant designing and implementing cloud-based data integration projects using Python, SQL, Spark, Snowflake, dbt, Airflow, and Databricks for clients in a hybrid Quebec office role.
The Senior Data Engineer will design and build the company's data platform, including pipelines, data models, and orchestration systems. The role focuses on scaling data infrastructure using Python, SQL, and cloud-based data warehousing technologies.
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