be someone who can take end-to-end ownership of data engineering initiatives and deliver solutions aligned with enterprise data architecture as well as governance principles. Responsibilities Build complex ETL/ELT pipelines from scratch, integrating multiple data sources while implementing advanced transformations using mapping data flows Optimise performance and manage dependencies, ensuring robust monitoring/debugging of pipelines Architect More ❯
hoc data requests and provide technical expertise to stakeholders. Profile A successful Data Engineer should have: Proven experience with data engineering tools and technologies. Strong knowledge of database systems, ETL processes, and data modelling. Proficiency in programming languages such as Python, SQL, or similar. Experience with cloud-based data platforms and services. Ability to work collaboratively in a team environment More ❯
Design end-to-end technical solutions integrating infrastructure and data components Architect virtualized infrastructure solutions and data integration strategies Create architectural documentation, diagrams, and technical specifications Design data pipelines, ETL processes, and BI solutions Provide technical guidance to development and infrastructure teams Engage with stakeholders to translate business requirements into technical solutions Essential Skills & Experience SQL: Advanced database design, optimization More ❯
and turning data into decisions, this is the role for you. What you'll do Design and develop end-to-end Azure Data Warehouse solutions Build and maintain robust ETL/ELT pipelines using Azure Data Factory. Implement and maintain efficient data models and star/snowflake schemas. Optimize queries, improve performance, and ensure data quality and integrity. Develop and … strong Azure expertise. Solid understanding of SQL, T-SQL, and performance tuning. Hands-on experience with Azure Synapse Analytics, Data Factory. Strong background in data modelling, dimensional design, andETL development. Proficiency in Power BI for data visualisation and reporting. Experience with Power Automate for process automation and workflow integration. Excellent problem-solving skills and the ability to work independently More ❯
and turning data into decisions, this is the role for you. What you'll do Design and develop end-to-end Azure Data Warehouse solutions Build and maintain robust ETL/ELT pipelines using Azure Data Factory. Implement and maintain efficient data models and star/snowflake schemas. Optimize queries, improve performance, and ensure data quality and integrity. Develop and … strong Azure expertise. Solid understanding of SQL, T-SQL, and performance tuning. Hands-on experience with Azure Synapse Analytics, Data Factory. Strong background in data modelling, dimensional design, andETL development. Proficiency in Power BI for data visualisation and reporting. Experience with Power Automate for process automation and workflow integration. Excellent problem-solving skills and the ability to work independently More ❯
