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DevOps Engineer
Design and maintain secure CI/CD pipelines for an Azure-based data platform using Databricks, Azure Data Factory, and Informatica IDMC, ensuring audit compliance and DevSecOps controls.
Data Engineer – Microsoft Fabric
Build and maintain data pipelines and analytics solutions using Microsoft Fabric, Azure Data Factory, and Power BI for enterprise clients.
Cloud Data Engineer
Design and build modern data analytics, Big Data, and data-warehouse solutions in AWS, GCP, or Azure, including ETL/ELT pipelines and governance using Databricks, Snowflake, and Spark.
Microsoft Data Engineer - Hybrid
Build and maintain Azure data pipelines, manage Data Lake storage, and integrate Power BI reports for business intelligence solutions.
Data Engineer - Public Sector
Builds and maintains Azure-based data pipelines, manages data in Azure Data Lake, and integrates with Power BI for reporting and BI solutions.
Azure Data Engineer
Build and optimize cloud-native data pipelines on Azure, migrating and transforming data for analytics and ML workloads using Spark, Databricks, and Azure Synapse.
Middle Data Engineer (Azure Databricks)
Builds and maintains cloud data pipelines using Azure Databricks, PySpark, and Delta Lake to power analytics and BI in a modern Lakehouse architecture.
Data Engineering Consultant (w/m/x)
Design and build data platforms in Azure and on-premises, integrating data pipelines for clients in automotive, life sciences, finance, or manufacturing using SQL, Python, and DevOps.
Data Engineering Consultant (w/m/x)
Design and build data platforms in Azure and on-premises, integrating data for clients in mobility, healthcare, finance, or manufacturing using SQL, Python, and DevOps.
Data Engineer (w/m/d)
Build and scale data pipelines, warehouses, and reporting using Spark, dbt, and Power BI to drive analytics and business decisions.
Databricks Data Engineer
Build and maintain scalable Azure Databricks data pipelines and analytics for HR tech, using Spark, SQL and Azure services to automate employee lifecycle data flows.
AVP Software Developer
Build and maintain Python/SQL backend services and data pipelines for a data-driven organisation, focusing on databases, ETL/ELT, and lakehouse architectures.
Senior Solutions Architect - Data & AI
Design and lead enterprise-scale data platforms and AI solutions on Azure, guiding clients from discovery to proposal while owning end-to-end architecture and pre-sales engagements.
Data Engineer
Design and build scalable data pipelines and warehouses for clients, using SQL, Python, and ETL tools to transform raw data into reliable analytics-ready datasets.
Senior Specialist - Data Engineering
Design and maintain scalable data pipelines and ETL processes using Spark, Kafka, and Airflow, and optimize data storage in cloud warehouses and lakes to support analytics and ML initiatives.
Data Engineer
Designs and maintains cloud-based ETL/ELT pipelines and data architectures on Azure, AWS, or GCP to ensure reliable, high-performance data flows for analytics and BI teams.
Senior Solutions Engineer - SI Partners & Data Cloud
Senior Solutions Engineer partners with SI firms to architect and demo Snowflake-based data pipelines and solutions, leveraging PySpark, SQL, and cloud tooling to enable joint customer engagements.
Staff Software Engineer (Data)
Lead the architecture and strategy of JLL’s enterprise data platform, consolidating global systems into a unified, scalable data layer to power AI-driven insights and analytics for commercial real estate.
Senior Data Platform Engineer — AI-Ready Enterprise Data
Design and build an enterprise data platform optimized for AI workloads using Microsoft Fabric and Azure Data Factory.
Microsoft Fabric Data Engineer - Work from home
Design and build data pipelines and warehouses using Microsoft Fabric, Azure Synapse, and Power BI for enterprise clients, ensuring performance, governance, and security.