Frameworks: Extensive experience with AI frameworks and libraries, including TensorFlow, PyTorch, or similar. ? Data Processing: Expertise in big data technologies such as Apache Spark, Hadoop, and experience with data pipeline tools like Apache Airflow. ? Cloud Platforms: Strong experience with cloud services, particularly AWS, Azure, or Google Cloud Platform, including More ❯
City of London, London, United Kingdom Hybrid / WFH Options
McCabe & Barton
with have expertise in some of the following: Python, SQL, Scala, and Java for data engineering. Strong experience with big data tools (Apache Spark, Hadoop, Databricks, Dask) and cloud platforms (AWS, Azure, GCP). Proficient in data modelling (relational, NoSQL, dimensional) and DevOps automation (Docker, Kubernetes, Terraform, CI/ More ❯
City Of London, England, United Kingdom Hybrid / WFH Options
Henderson Scott
Tech You'll Use: Languages & Tools: SQL, Python, Power BI/Tableau, XML, JavaScript Platforms & Frameworks: Azure Data Services, Microsoft Fabric (nice to have), Hadoop, Spark Reporting & Visualization: Power BI, Tableau, Business Objects Methodologies: Agile/Scrum, CI/CD pipelines What You'll Be Doing: Designing and building … SQL, Python, and BI platforms like Tableau or Power BI Strong background in data warehousing, data modelling, and statistical analysis Experience with distributed computing (Hadoop, Spark) and data profiling Skilled at explaining complex technical concepts to non-technical audiences Hands-on experience with Azure Data Services (or similar cloud More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Henderson Scott
Tech You'll Use: Languages & Tools: SQL, Python, Power BI/Tableau, XML, JavaScript Platforms & Frameworks: Azure Data Services, Microsoft Fabric (nice to have), Hadoop, Spark Reporting & Visualization: Power BI, Tableau, Business Objects Methodologies: Agile/Scrum, CI/CD pipelines What You'll Be Doing: Designing and building … SQL, Python, and BI platforms like Tableau or Power BI Strong background in data warehousing, data modelling, and statistical analysis Experience with distributed computing (Hadoop, Spark) and data profiling Skilled at explaining complex technical concepts to non-technical audiences Hands-on experience with Azure Data Services (or similar cloud More ❯
