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Infrastructure Ontario (IO) is advancing a renewed enterprise-wide data strategy focused on building strong data foundations—including data and AI governance, data management, a centralized analytics platform, and data…
Data Engineer at an industrial digitalization consultancy building scalable data pipelines, data warehouses, and data lake solutions for customer projects, primarily using dbt, Snowflake, Databricks, SQL, and Azure/AWS.
The Senior Data Engineer will build and maintain a centralized data warehouse using Microsoft Fabric, PySpark, and SQL to support enterprise-wide analytics. The role involves designing scalable data ingestion pipelines, implementing medallion architecture, and applying AI-powered engineering practices.
Senior Microsoft Fabric Specialist combining engineering, solution design, and client advisory. Responsible for the full data platform lifecycle from design through production, working with Lakehouse, Data Factory, pipelines, and Power BI integration within Microsoft Fabric.
Senior Microsoft Fabric Specialist / Data Engineer who designs, advises on, and hands-on builds modern data platforms using Microsoft Fabric (Lakehouses, Data Factory, notebooks, Power BI) for a Dutch IT consultancy.
Medior Data Engineer building a central Azure-based data platform (Databricks, Delta Lake, Power BI) for CCMO, a Dutch government medical-research oversight body. Day-to-day work involves building and maintaining data pipelines with Python, SQL, and PySpark across technologies like Microsoft Fabric, Azure Data Factory, and Azure Synapse.
Data Engineer building and maintaining data integrations and pipelines (C#, Azure Functions, SQL) within the BI team of a large Dutch vocational education institution, migrating to Azure Data Factory and Microsoft Fabric.
Lead/Senior Data Engineer designing and managing enterprise-scale data platforms across Azure and AWS, building ETL/ELT pipelines, lakehouse architectures, and Snowflake data warehouses using Databricks, Delta Lake, PySpark, and SQL.
Senior Data Engineer on a remote contract within Canada, building and maintaining scalable data pipelines, ETL/ELT workflows, data models, and Power BI dashboards for the Government of Alberta's Digital Design and Delivery division using Python, SQL, PySpark, and cloud platforms (Azure, Databricks, Microsoft Fabric).
Senior Data Engineer building ELT/ETL pipelines, data models in Snowflake, and Power BI dashboards for BlackLine's AI-powered Invoice-to-Cash SaaS platform.
Design, build, and govern enterprise-scale cloud data platforms (Databricks, Snowflake, Microsoft Fabric) using Python, C#, and PowerShell, leading architecture, governance, MDM, and integration efforts.
Senior Data Engineer (Tech Lead) designing, building, and governing enterprise-scale cloud data platforms using Databricks, Snowflake, or Microsoft Fabric, with expertise in data architecture, integration, governance, and leading cross-functional teams.
Architect and build dimensional and Lakehouse data models, plus robust ETL/ELT pipelines, using Databricks or Snowflake, PySpark, SQL, and Azure/AWS cloud services.
Lead Data Engineer at IndusInd Bank in Mumbai, architecting and building a cloud-native Azure Databricks data platform with PySpark, leading a team of data engineers and analysts to deliver scalable lakehouse architectures and BI solutions.
Senior Data Engineer building and maintaining data pipelines, data warehouses, and BI dashboards primarily on Azure and Microsoft Fabric using SQL, Python, and PySpark.
Senior Data Engineer designing and maintaining enterprise-scale data ingestion and integration solutions using Microsoft Fabric, Azure Data Services, SQL Server, and ETL/ELT pipelines.
Lead Data Engineer/Data Architect designing and implementing enterprise-scale cloud data platforms (Azure, AWS, or GCP), including data lakes, lakehouses, and warehouses using Python, SQL, and tools like Databricks, Snowflake, or Spark.
Lead Data Engineer architecting cloud-native data platforms (data lakes, lakehouses, warehouses) for PE portfolio companies, using tools like Databricks, Snowflake, Azure Synapse, dbt, and AI tooling to build AI-ready analytics infrastructure.
Senior Data Engineer designing and building cloud-native data platforms (Snowflake, Databricks, BigQuery, etc.) with ELT/ETL pipelines, CI/CD, and AI-ready infrastructure for a financial consulting firm serving private equity portfolio companies.
Postgres/SQL Data Engineer building scalable database queries, ETL/ELT pipelines, stored procedures, and DAX calculations using PostgreSQL, SQL, and Power Query.
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