management of an Azure cloud-based data & analytics platform. • Comprehensive experience in the complete data pipeline development process, encompassing data warehousing, data analytics, andETL processes. • Profound understanding of best practices in data governance, privacy, and quality. • Exceptional skills in communication, leadership, and team management. • Capability to handle multiple tasks more »
in a cloud environment (Azure, AWS, GCP) Experience in at least one of: Python (or similar), SQL, PySpark Experience in building data pipeline/ETL/ELT solutions Ability and strong desire to research and learn new technologies and languages Interest in the contemporary data engineering and analytics landscape, the more »
Tableau, Power BI, etc. Proficiency in data engineering technologies such as SQL, Python, Apache Spark, Hadoop, and data warehousing concepts. Familiarity with data modelling, ETL/ELT processes, data governance, and data security principles. more »
business, data analytics, computer science, or information systems). Strong extensivework experience, ideally within a professional services environment. A deep understanding of data warehousing, ETL processes and data modelling. Expertise in database design and development in Azure SQL Server, Azure Data Warehouse, MS SQL Server and be proficient in creating more »
and priorities. Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field. 3+ years of experience in data engineering, ETL development, or related roles. Proficiency in programming languages such as Python, Java, or Scala. Experience with data processing frameworks such as Apache Spark, Apache Flink more »
and Application Engineer, you’ll play a pivotal role in their journey. The successful Data Engineer will have these skills: Essential: Strong experience with ETL/pipeline tools Databricks (Administration, Unity Catalog, Python scripting and SQL) Azure Data Factory SQL Server (SSIS, T-SQL, SSAS etc.) General python scripting Strong more »
peer/code reviews, ensuring the integrity of data, and holding accountability for access and security permission. • Design and develop metadata driven data ingestion (ETL/ELT) processes, data lake house architecture, data warehouse, data marts, reports, and dashboards; in-line with the company data management framework and enterprise data more »
Advanced skills in SQL programming, with the ability to design, optimize, and maintain complex queries and databases. Strong experience in designing, implementing, and managing ETL processes using Azure Data Factory and other relevant tools. Proficiency in building and managing data warehouses using Azure Synapse Analytics and other data warehousing solutions. more »
practices. • Extensive experience with SQL databases, including complex queries and stored procedures. • Experience with SSIS, SSRS, and SSAS. • Strong understanding of data warehousing concepts, ETL, and data modelling. • Familiarity with statistical analysis, data visualization, data mining, and data transformation. • Power BI certification is a plus. • Proven problem-solving skills andmore »
Skills: Strong SQL Server experience including T-SQL and performance tuning. Experience building BI solutions and dashboards using tools like Power BI or SSRS. ETL experience with tools such as: Microsoft SSIS Microsoft Power Platform Microsoft Fabric Azure Data Factory Azure DevOps Notebooks and Spark/Python APIs more »
EC2N, Broad Street, Greater London, United Kingdom
Picture More Ltd
Skills: Strong SQL Server experience including T-SQL and performance tuning. Experience building BI solutions and dashboards using tools like Power BI or SSRS. ETL experience with tools such as: Microsoft SSIS Microsoft Power Platform Microsoft Fabric Azure Data Factory Azure DevOps Notebooks and Spark/Python APIs more »
professional services environment (legal, accounting, audit, or similar). Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL). Expertise in ETL processes and tools (e.g., Apache Airflow, Talend). Familiarity with big data technologies (e.g., Hadoop, Spark). Experience with cloud platforms (e.g., AWS, Azure, Google more »
Advanced skills in SQL programming, with the ability to design, optimize, and maintain complex queries and databases. Strong experience in designing, implementing, and managing ETL processes using Azure Data Factory and other relevant tools. Proficiency in building and managing data warehouses using Azure Synapse Analytics and other data warehousing solutions. more »
SE1, Chaucer, Greater London, United Kingdom Hybrid / WFH Options
Royal College Of Obstetricians And Gynaecologists
through to developing user reports. They will work on the technical aspects of system integration and be involved in the development and maintenance of ETL (extract, transform, load) processes across all systems. The post holder will work closely with colleagues across the organisation to gather requirements and ensure data integrity … ensure that our technical solutions are fully integrated into business processes. Responsibilities: Advanced T-SQL and SSIS development for the creation and maintenance of ETLand reporting solutions. To lead the development and maintenance of custom applications to provide bespoke functionality, for example using .NET Framework, C# or Python. Development … expertise to internal stakeholders for College supported databases. Requirements: Experience of Advanced T-SQL querying and development: Stored Procedures, Views, functions etc. Experience of ETL development using SSIS or similar Knowledge of database and data warehouse design principles Experience of developing and maintaining custom applications to provide bespoke functionality, for more »
Better Placed Ltd - A Sunday Times Top 10 Employer in 2023!
Data Lake Storage, Azure Databricks, and Azure SQL Database. Proficiency in SQL and programming languages like Python or Scala. Experience with data modeling andETL/ELT concepts. Strong problem-solving and troubleshooting skills. Excellent communication and collaboration skills. Data Engineer – London more »
of team, including ways of working, engineering principles, data governance and best practice. Become an SME on the design, development, and deployment of data ETL pipelines (using Azure Data Factory and other technologies) to access, combine andtransform data from on-prem and cloud-based sources. Ensure that all data more »
and building data warehouses & data lakes in BigQuery, including data modeling and mapping using techniques such as medallion and star schema. Data pipeline/ETL Development , building ingestion pipelines that produce scalable data products as outputs for analytics. Orchestration frameworks such as Dataform , Airflow, and GCP Workflows. Cloud platforms , especially more »
Databricks best practices. - Maintain data integrity, security, and compliance with regulations like GDPR. - Manage data migration from legacy analytics data warehouses, data lakes, andETL tools to Databricks within set deadlines. - Comfortable operating in all project phases, adjusting requirements, and supporting the transition from build and migration to production. - Serve more »
capabilities and support our Finance business partners in their decision-making processes. Key responsibilities include: Design, build, and maintain efficient, reliable data pipelines using ETLand ELT processes. Ensure the seamless flow and availability of high-quality data across the organisation Use Snowflake for data storage, processing, and analytics. Optimise more »
more Cloud platforms such as Microsoft Azure, AWS, Google Cloud is a plus Familiarity with the application of automation and data technologies (e.g. RPA, ETL tools, visual analytics) Formal project management training certification (e.g. PMP, PRINCE2, MSP) or process improvement certification (e.g. Six Sigma 'belt') is preferred Working knowledge of more »
platform, including knowledge about its architecture, services, and security measures. * Data Engineering: A strong background in data engineering, with thorough understanding of concepts like ETL (Extract, Transform, Load), data cleaning, data structures, and data warehousing. * Azure Data Services: Hands-on experience with Azure data services like Azure SQL Database, Azure more »
writing TSQL and performance tuning is essential. * Experience building BI solutions and dashboards using reporting and visualisation tools such as Power BI or SSRS. * ETL experience; experience with some of the following would be expected: o Microsoft SSIS o Microsoft Power Platform o Microsoft Fabric o Azure Data Factory o more »
diary to suit your work/life balance, all while contributing to high-impact client work. What You Will Be Doing: Develop and maintain ETL pipelines, data warehouses, and data lakes using AWS and Azure cloud technologies. Utilize AWS and Azure data and analytics services (or their open-source equivalents more »
to ensure data is accessible, reliable, and ready for analysis. Key Responsibilities: Data Pipeline Development : Design, build, and maintain data pipelines to ingest, transform, andload data from various sources into AWS data storage solutions. Data Integration : Implement ETL (Extract, Transform, Load) processes using AWS services such as AWS Glue … Java, or Scala. Experience with AWS services including S3, Redshift, Glue, Lambda, and RDS. Strong SQL skills for data manipulation and querying. Familiarity with ETL tools and processes. Understanding of data modeling and database design. Soft Skills : Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Detail-oriented more »
