8 open jobs on The Stack list Azure Data Factory as a key skill. They come from 8 companies in 4 countries, and 8 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names Azure Data Factory in its key skills. We do not guess skills from the job title.
What you'll do: Design and build data platforms and pipelines, apply data engineering techniques to solve complex problems for public and private sector clients, collaborate with stakeholders to develop data-driven solutions, and communicate architecture…
What they ask for: 4+ years of data engineering experience with strong Azure data platform skills (Databricks, Data Factory, Data Lake, SQL). Experience with streaming (Event Hubs, Kafka), APIs, ETL, and modeling large datasets using techniques such as…
What you'll do: Design, develop and maintain end-to-end data pipelines from ingestion to consumption. Implement data ingestion from multiple sources (APIs, databases, files, external systems). Design and optimize data models for analytics and reporting…
What they ask for: Minimum 2 years of experience in Data Engineering or data-oriented backend projects; experience with Azure or AWS. Proficient in Python and SQL with knowledge of data modeling; intermediate English.
What you'll do: Lead end-to-end delivery of forensic data analytics projects for financial crime matters, including data extraction, transformation, loading, analysis, visualization, and client delivery; supervise junior team members and ensure quality…
What they ask for: Degree in a STEM discipline or equivalent; fraud analytics experience; proficiency in SQL, Python, Azure Data Factory and/or Databricks, and data visualization; ability to work independently and communicate effectively; domain knowledge in…
What you'll do: Design, develop, and optimise scalable data pipelines using Azure Databricks, PySpark, Spark SQL and Delta Lake. Build robust ETL/ELT solutions and data ingestion frameworks supporting batch and streaming workloads. Collaborate with Data…
What they ask for: Proven experience with Azure Databricks, Spark, PySpark, Spark SQL; strong Python and SQL skills. Experience with Azure Data Lake Storage Gen2 and one of Azure Data Factory or Microsoft Fabric Data Factory. Must be eligible to obtain and…
What you'll do: Lead and implement the technical roadmap for client data platforms, ensuring architecture cohesion across data ingestion, processing, and analytics. Manage end-to-end data pipelines and collaborate with data scientists to deliver data…
What they ask for: 5-7 years in a similar data engineering/lead role with hands-on experience building production ETL/ELT pipelines on Azure (Data Factory, Databricks, Synapse). Strong SQL, data warehousing principles, cloud architecture, and experience with…
What you'll do: Design, build and maintain cloud-based data integration solutions using Microsoft Fabric and Azure, including lakehouses, warehouses, dataflows and pipelines. Lead discovery workshops, engage with clients to gather requirements, implement…
What they ask for: Commercial experience in data engineering and integration with strong SQL and Python skills and hands-on experience with Microsoft Fabric and Azure data services. Practical knowledge of ETL/ELT design, API and secure SFTP integrations…
What you'll do: You will lead and develop teams of data engineers to design and deliver scalable data solutions for complex business challenges. You will also provide technical direction for data pipelines and infrastructure while collaborating with…
What they ask for: The role requires at least 4 years of data engineering experience and proven leadership capabilities in complex environments. Candidates must possess strong Python skills, experience with Apache Spark, and proficiency in cloud-based data…
What you'll do: The BI Data Engineer will design and maintain enterprise data warehouses and complex business intelligence solutions including data lakes and lakehouses. They are responsible for implementing ETL/ELT pipelines, ensuring data quality, and…
What they ask for: Candidates must have extensive knowledge of enterprise data warehouse design, dimensional modeling, and SQL. Proficiency in BI reporting tools, cloud architectures, and data governance practices is required, along with C1 level English…