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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.
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.
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 ETL/ELT pipelines using Python, PySpark, and SQL to support analytics and machine learning initiatives. The role involves optimizing data processing, ensuring data quality, and collaborating with cross-functional teams to meet business requirements.
Senior Database & Analytics Engineer building trusted, governed, analytics-ready data across the full data lifecycle using SQL, data modelling, and ETL/ELT within an AI, Data & Analytics team.
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.
This Data Engineer role involves building and maintaining scalable ETL/ELT pipelines using Informatica, Google BigQuery, and Python. The position focuses on optimizing data workflows, managing cloud datasets, and automating operational tasks in a 12-month contract capacity.
The Oracle Data Engineer and APEX Lead provides technical leadership for Oracle APEX applications and data engineering within the Victorian government. The role involves building Python-based ETL pipelines, managing CI/CD workflows, and designing secure Oracle ADW data models.
Build scalable ETL/ELT workflows, manage BigQuery datasets, and write optimized SQL, along with developing Python scripts and automating batch workflows in on-prem and cloud environments.
The Data Engineer will design and maintain scalable data pipelines and infrastructure for the LANDCROS Connect Insight platform. The role involves working with big time-series data using technologies like Snowflake, Python, and cloud-based data processing frameworks.
The Data Engineer will design, build, and maintain scalable enterprise data platforms and pipelines within the Microsoft Azure ecosystem. This role involves collaborating with cross-functional teams to deliver data-driven solutions while ensuring governance, security, and operational excellence.
GCP Data Engineer (hybrid in Kitchener) designing and building scalable data pipelines, ETL/ELT workflows, and data ingestion frameworks using BigQuery, Dataflow, Cloud Composer, Dataproc, Python, and SQL.
Data Engineer building scalable Azure data pipelines and platforms using Data Factory, Databricks, Synapse, and Delta Lake, with strong Python/SQL skills for ETL/ELT and data governance.
Designs and maintains Snowflake-based data pipelines, focusing on ETL/ELT workflows, Snowpark automation, and cloud-native data operations to enable scalable data processing and analytics.
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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