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Data Delivery Manager leading end-to-end delivery of data projects across retail, clinical, and supply chain functions using Agile/Waterfall methodologies with tools like Databricks, Azure Data Factory, and Power BI.
Data Analyst at Canada Life building data models, dashboards, and reports using Power BI, Databricks, SQL, and Azure services to support business decision-making and performance monitoring.
Senior Data Engineer building scalable Azure Databricks cloud data platforms, developing ETL/ELT pipelines, enforcing data governance, and supporting Power BI reporting for an Amsterdam-based consultancy.
Senior Azure Databricks Data Engineer building scalable cloud data platforms using Azure Databricks, dbt, Azure Data Factory, Spark, and Python for ETL/ELT pipelines, data modeling, and enterprise data governance.
Set up dataflows in Azure Databricks for a financial-sector client, working independently with Azure Data Factory, Python, PySpark, and SQL in an Amsterdam-based role.
Design, develop, and maintain scalable data pipelines using Azure Data Factory, Databricks, Python, and SQL in Amsterdam.
Senior Azure Data Engineer in Amsterdam responsible for designing scalable data architectures, building reliable ETL workflows, and managing data pipelines using Azure Data Factory, Python, and SQL.
Builds and maintains ETL/ELT pipelines in Azure using Databricks, PySpark, and Azure services like ADF, Synapse, and SQL, while ensuring data lakehouse architecture and governance.
Design and maintain data pipelines using Azure Data Factory, SQL, and Python within agile teams at an IT services firm.
Principal Data Engineering Consultant Salary : £90,000 to £110,000 per annum (depending on experience) Location : Remote – must be based within the UK. Occasional visits to see customers and the team. Interview…
The Data Engineer will design, build, and maintain data pipelines and analytics-ready datasets using Microsoft Fabric and Azure cloud services. This role involves collaborating with stakeholders to ensure data quality and reliability for reporting and future AI initiatives.
The Data Engineering Sr. Associate designs and maintains scalable data pipelines, ETL/ELT processes, and data warehouse solutions using cloud technologies like Azure, Spark, and Databricks. The role involves collaborating with cross-functional teams to ensure data quality, governance, and performance optimization.
Data engineer building BI and Big Data solutions for ProRail's logistics department, migrating on-premise BI to Azure Synapse and Microsoft Fabric, and developing scalable data pipelines with PySpark and SQL.
Claims Data Manager Aspire General Insurance | Full-Time Department: IT Are you looking for more than just a job? Do you want a career with a growing, stable organization where your ideas are valued, your contributions…
Senior Claims Data Analyst using SQL (T-SQL) and Power BI to build dashboards and transform complex claims data into actionable insights for Claims Operations at an insurance company.
Bridge Data Science and Data Engineering in a cloud-native Azure environment, focusing on data acquisition, transformations, and loading into data lakes for analytics and ML models using Azure Data Factory, Synapse, Spark, and Databricks.
Empowering people. Unlocking innovation. With 1,000+ professionals and over a decade of experience, we’ve built an environment where talent is trusted, supported and continuously challenged to grow. Aumente sus…
Senior Data Engineer designing and maintaining scalable data pipelines on Azure (Databricks, Data Factory) using Python/PySpark and SQL, collaborating with Data Science and Analytics teams on an international project.
We are still looking for the very Top Talent…and we would be delighted if you were to join our team! More in details, UST is a multinational company based in North America, certified as a Top Employer and Great Place…
Designs, develops, and optimizes scalable data pipelines and analytics platforms using Snowflake/Azure, focusing on cloud-native automation, orchestration, and data governance to support enterprise-wide decision-making.
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