a mid-market private equity or scale-up environment, with an understanding of agile execution Strong expertise in data management platforms (Databricks, Snowflake), Azure, ETLand data analytics tools and languages such as SQL, Python, and Power BI Previous experience leading the data strategy, analytics, and platform development in a More ❯
london (city of london), south east england, United Kingdom
Supporting Education Group
a mid-market private equity or scale-up environment, with an understanding of agile execution Strong expertise in data management platforms (Databricks, Snowflake), Azure, ETLand data analytics tools and languages such as SQL, Python, and Power BI Previous experience leading the data strategy, analytics, and platform development in a More ❯
Spend Your Time Designing and developing machine learning models, large language models, and algorithms to deliver meaningful insights from large datasets. Establishing and maintaining ETL workflows and data pipelines in order to ensure data consistency, quality, and usability across the platform. Optimizing machine learning models and AI systems to maximize More ❯
Job Description Data Engineer - Non-Profit/Health Charity - Cambridge (Tech Stack: Data Engineer, Python, Azure, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) A leading health charity based in Cambridge is seeking a talented and driven Lead Data Engineer to join their team. This is a fantastic opportunity More ❯
Birmingham, West Midlands, United Kingdom Hybrid / WFH Options
Amtis Professional Ltd
and complex data modelling using Fabric/Azure. Expertise in app/DWH development and support with Microsoft Azure/Power BI. Experience with ETLand SSIS development. Advanced skills in Power BI report/app/dashboard design using DAX and Power Query. Benefits The role is based in More ❯
Databricks SQL) Knowledge of Kimball data modelling methodology Experience using scripting languages such as Python, PowerShell etc. Experience with Microsoft Azure. Strong knowledge of ETL/ELT tools and experience navigating data pipelines. Advanced Power BI (Modelling, Visualisation, Security, Platform Architecture and Administration) Strong trade lifecycle experience If you are More ❯
What You'll Do: Design and build scalable data solutions using AWS services (Redshift, Glue, S3, Step Functions). Lead the development of robust ETL/ELT workflows with AWS Glue and Python. Manage and mentor Data Engineers and Analysts across multiple projects. Collaborate with DevOps to maintain CI/ More ❯
What You'll Do: Design and build scalable data solutions using AWS services (Redshift, Glue, S3, Step Functions). Lead the development of robust ETL/ELT workflows with AWS Glue and Python. Manage and mentor Data Engineers and Analysts across multiple projects. Collaborate with DevOps to maintain CI/ More ❯
Databricks SQL) Knowledge of Kimball data modelling methodology Experience using scripting languages such as Python, PowerShell etc. Experience with Microsoft Azure. Strong knowledge of ETL/ELT tools and experience navigating data pipelines. Advanced Power BI (Modelling, Visualisation, Security, Platform Architecture and Administration) Strong trade lifecycle experience If you are More ❯
practices, and best practices for data modeling, warehousing, and interoperability. Lead the evaluation and implementation of data tools, platforms, and technologies (e.g., cloud services, ETL tools, data lakes). Ensure data security, compliance, and privacy policies are embedded in all architecture designs. Provide technical guidance and mentorship to data engineers More ❯
practices, and best practices for data modeling, warehousing, and interoperability. Lead the evaluation and implementation of data tools, platforms, and technologies (e.g., cloud services, ETL tools, data lakes). Ensure data security, compliance, and privacy policies are embedded in all architecture designs. Provide technical guidance and mentorship to data engineers More ❯
practices, and best practices for data modeling, warehousing, and interoperability. Lead the evaluation and implementation of data tools, platforms, and technologies (e.g., cloud services, ETL tools, data lakes). Ensure data security, compliance, and privacy policies are embedded in all architecture designs. Provide technical guidance and mentorship to data engineers More ❯
practices, and best practices for data modeling, warehousing, and interoperability. Lead the evaluation and implementation of data tools, platforms, and technologies (e.g., cloud services, ETL tools, data lakes). Ensure data security, compliance, and privacy policies are embedded in all architecture designs. Provide technical guidance and mentorship to data engineers More ❯
practices, and best practices for data modeling, warehousing, and interoperability. Lead the evaluation and implementation of data tools, platforms, and technologies (e.g., cloud services, ETL tools, data lakes). Ensure data security, compliance, and privacy policies are embedded in all architecture designs. Provide technical guidance and mentorship to data engineers More ❯
practices, and best practices for data modeling, warehousing, and interoperability. Lead the evaluation and implementation of data tools, platforms, and technologies (e.g., cloud services, ETL tools, data lakes). Ensure data security, compliance, and privacy policies are embedded in all architecture designs. Provide technical guidance and mentorship to data engineers More ❯
practices, and best practices for data modeling, warehousing, and interoperability. Lead the evaluation and implementation of data tools, platforms, and technologies (e.g., cloud services, ETL tools, data lakes). Ensure data security, compliance, and privacy policies are embedded in all architecture designs. Provide technical guidance and mentorship to data engineers More ❯
practices, and best practices for data modeling, warehousing, and interoperability. Lead the evaluation and implementation of data tools, platforms, and technologies (e.g., cloud services, ETL tools, data lakes). Ensure data security, compliance, and privacy policies are embedded in all architecture designs. Provide technical guidance and mentorship to data engineers More ❯
practices, and best practices for data modeling, warehousing, and interoperability. Lead the evaluation and implementation of data tools, platforms, and technologies (e.g., cloud services, ETL tools, data lakes). Ensure data security, compliance, and privacy policies are embedded in all architecture designs. Provide technical guidance and mentorship to data engineers More ❯
practices, and best practices for data modeling, warehousing, and interoperability. Lead the evaluation and implementation of data tools, platforms, and technologies (e.g., cloud services, ETL tools, data lakes). Ensure data security, compliance, and privacy policies are embedded in all architecture designs. Provide technical guidance and mentorship to data engineers More ❯
practices, and best practices for data modeling, warehousing, and interoperability. Lead the evaluation and implementation of data tools, platforms, and technologies (e.g., cloud services, ETL tools, data lakes). Ensure data security, compliance, and privacy policies are embedded in all architecture designs. Provide technical guidance and mentorship to data engineers More ❯
practices, and best practices for data modeling, warehousing, and interoperability. Lead the evaluation and implementation of data tools, platforms, and technologies (e.g., cloud services, ETL tools, data lakes). Ensure data security, compliance, and privacy policies are embedded in all architecture designs. Provide technical guidance and mentorship to data engineers More ❯
practices, and best practices for data modeling, warehousing, and interoperability. Lead the evaluation and implementation of data tools, platforms, and technologies (e.g., cloud services, ETL tools, data lakes). Ensure data security, compliance, and privacy policies are embedded in all architecture designs. Provide technical guidance and mentorship to data engineers More ❯
practices, and best practices for data modeling, warehousing, and interoperability. Lead the evaluation and implementation of data tools, platforms, and technologies (e.g., cloud services, ETL tools, data lakes). Ensure data security, compliance, and privacy policies are embedded in all architecture designs. Provide technical guidance and mentorship to data engineers More ❯
practices, and best practices for data modeling, warehousing, and interoperability. Lead the evaluation and implementation of data tools, platforms, and technologies (e.g., cloud services, ETL tools, data lakes). Ensure data security, compliance, and privacy policies are embedded in all architecture designs. Provide technical guidance and mentorship to data engineers More ❯
practices, and best practices for data modeling, warehousing, and interoperability. Lead the evaluation and implementation of data tools, platforms, and technologies (e.g., cloud services, ETL tools, data lakes). Ensure data security, compliance, and privacy policies are embedded in all architecture designs. Provide technical guidance and mentorship to data engineers More ❯
