26 to 50 of 130 ETL Jobs in the South East

BI dashboards and reports to deliver key financial and operational insights. Connecting to various data sources (e.g., SQL databases, Excel, financial systems) and performing data extraction, transformation, and loading (ETL) processes within Power BI (using Power Query/M language). Collaborating with stakeholders to gather requirements, understand business needs, and translate them into effective Power BI solutions. Be able More ❯

BI dashboards and reports to deliver key financial and operational insights. Connecting to various data sources (e.g., SQL databases, Excel, financial systems) and performing data extraction, transformation, and loading (ETL) processes within Power BI (using Power Query/M language). Collaborating with stakeholders to gather requirements, understand business needs, and translate them into effective Power BI solutions. Be able More ❯

Profile Data Engineer - Surrey - Hybrid A successful Data Engineer should have: Experience with Azure Data Factory, Azure Synapse, Azure SQL, or Azure Data Lake. Hands-on knowledge of the ETL process and working with large datasets. Understanding of dimensional modelling and data warehousing principles. Familiarity with CI/CD pipelines or monitoring tools for data processes. Solid skills in SQL More ❯

in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices. Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering More ❯

Fabric or expertise in related technologies such as Power BI, Azure Synapse, Data Factory, Azure Data Lake, Notebooks etc. A solid understanding of data engineering principles, including data modelling, ETL/ELT processes, and data warehousing. Strong communication and stakeholder management skills, with the ability to explain complex technical concepts to non-technical audiences. A proactive, client-focused mindset with More ❯

Fabric or expertise in related technologies such as Power BI, Azure Synapse, Data Factory, Azure Data Lake, Notebooks etc. A solid understanding of data engineering principles, including data modelling, ETL/ELT processes, and data warehousing. Strong communication and stakeholder management skills, with the ability to explain complex technical concepts to non-technical audiences. A proactive, client-focused mindset with More ❯

Fabric or expertise in related technologies such as Power BI, Azure Synapse, Data Factory, Azure Data Lake, Notebooks etc. A solid understanding of data engineering principles, including data modelling, ETL/ELT processes, and data warehousing. Strong communication and stakeholder management skills, with the ability to explain complex technical concepts to non-technical audiences. A proactive, client-focused mindset with More ❯

in cloud platforms (AWS, Azure, GCP, Snowflake). Technical Skills Proficiency in big data tools (Apache Spark, Hadoop). Programming knowledge (Python, R, Java) is a plus. Understanding of ETL/ELT, SQL, NoSQL, and data visualisation tools. Awareness of ML/AI integration into data architectures. Governance & Lifecycle Strong grasp of data architecture lifecycle and modern design principles. Knowledge More ❯

you'll be instrumental in designing, building, and optimising data pipelines and infrastructure that support advanced analytics and modelling. You'll collaborate with cross-functional teams to manage complex ETL processes, implement best practices in code management, and ensure seamless data flow across platforms. Projects may include connecting SharePoint to Databricks, optimising Spark jobs, and managing GitHub-based code promotion More ❯

Fabric or strong expertise in related technologies such as Power BI, Azure Synapse, Data Factory, Azure Data Lake etc. A solid understanding of data engineering principles, including data modelling, ETL/ELT processes, and data warehousing. Hands-on experience with Power BI and DAX, and ideally some exposure to Notebooks, Pipelines, or Lakehouses within Fabric. Strong communication and stakeholder management More ❯

Familiarity with distributed system patterns and architectural trade-offs. Experience with performance tuning and troubleshooting in complex environments. Data Systems Knowledge: Exposure to working in data-centric environments, supporting ETL/ELT pipelines or data processing services. Familiarity with SQL and NoSQL databases. Understanding of data privacy and security concepts. Tooling & Infrastructure: Experience with CI/CD pipelines, containerization (Docker More ❯

detailed management reports. Strong analytical background, including Excel, MS Access, SQL, Power BI, ArcGIS Online, and FME. Knowledge and capability in a wide variety of additional analytical tools and ETL (e.g. Python, SQL, Databricks, Microsoft Flow, Azure Data Factory). Extensive previous experience in data management. Degree in Environmental Science, Data Management, Hydrology, or a related field. Experience with remote More ❯

Familiarity with distributed system patterns and architectural trade-offs. Experience with performance tuning and troubleshooting in complex environments. Data Systems Knowledge: Exposure to working in data-centric environments, supporting ETL/ELT pipelines or data processing services. Familiarity with SQL and NoSQL databases. Understanding of data privacy and security concepts. Tooling & Infrastructure: Experience with CI/CD pipelines, containerization (Docker More ❯

DevOps & CI/CD : Familiar with tools like GitHub, Terraform, Docker, Kubernetes, and automated testing and monitoring. Data & Integration : Skilled in data modelling, APIs, messaging systems (e.g., Kafka), and ETL pipelines. Security & Compliance : Knowledge of secure design, identity management, and regulatory standards (e.g., GDPR). Problem Solving : Proven ability to lead teams in diagnosing and resolving complex technical issues. Project More ❯

within Power BI Support the integration and management of Microsoft Fabric as part of the evolving data architecture Participate in the full project lifecycle from design to deployment Optimise ETL/ELT processes and propose enhancements to existing systems Implement and maintain API integrations Collaborate with users, analysts, and developers to drive data performance improvements Document data models, pipelines, and … similar technical role Hands-on experience with key Microsoft Azure services: Azure Data Factory Azure Synapse Analytics Azure Data Lake Storage Azure SQL Database Solid understanding of data modeling, ETL/ELT, and warehousing concepts Proficiency in SQL and one or more programming languages (e.g., Python, Scala) Exposure to Microsoft Fabric, or a strong willingness to learn Experience using version More ❯

large, complex data sets from internal and external sources, including API integration and scripting. Design and implement scalable infrastructure and automate manual processes. Manage data extraction, transformation, and loading (ETL) using AWS and SQL technologies. Develop analytical tools and dashboards (e.g., using Tableau) to deliver actionable business insights. Ensure data quality and governance through robust validation processes. Key Requirements More ❯

large, complex data sets from internal and external sources, including API integration and scripting. Design and implement scalable infrastructure and automate manual processes. Manage data extraction, transformation, and loading (ETL) using AWS and SQL technologies. Develop analytical tools and dashboards (e.g., using Tableau) to deliver actionable business insights. Ensure data quality and governance through robust validation processes. Key Requirements More ❯

lifecycle processes and optimise cloud resource usage Support analytics and self-service reporting initiatives Skills & Experience Strong experience with GCP, BigQuery, Dataflow Proficiency in Python and Terraform Skilled in ETL/ELT, data modelling, and metadata management Familiarity with CI/CD, DevOps, and Infrastructure-as-Code Knowledge of insurance data and KPIs is advantageous but not essential Benefits: Competitive More ❯

are looking for someone who can demonstrate experience in the following areas: Commercial experience with implementing Fabric strong Azure experience - Ideally using ADF, Databricks, ADLS etc Data Engineering background - ETL development, data storage platforms such as Data Warehouse, Lake, or Lakehouse architectures You will ideally have come from a consultancy background, and henceforth understand how to balance multiple projects with More ❯

understanding of query optimisation and performance tuning. Strong understanding of data warehousing concepts and dimensional data modelling. Experience integrating OBIEE with Oracle and non-Oracle data sources. Familiarity with ETL processes and tools (e.g., ODI, Informatica) is a plus. Experience with Oracle BI Publisher is a bonus. Excellent analytical, problem-solving, and communication skills. Company Market leading financial services organisation More ❯

and business rules Experience working with complex datasets from multiple sources (e.g., SQL, Excel, cloud platforms) Ability to communicate insights effectively to technical and non-technical stakeholders Familiarity with ETL processes , data governance, and data quality frameworks Excellent problem-solving skills and attention to detail Reasonable Adjustments: Respect and equality are core values to us. We are proud of the More ❯

Advise on tech investments to maximise ROI and support strategic change. Manage and develop solution and data architects, driving performance and accountability. Key Requirements: Deep expertise in data integration (ETL), Microsoft SQL Server (T-SQL, SSIS, SSRS), and data modelling best practices. Experience in the London Market Insurance or reinsurance. 10+ years in enterprise architecture roles within complex organisations, supporting More ❯

of network management systems, topology modelling, and asset interconnectivity in physical or digital rail infrastructure.Solid experience with enterprise integration patterns, middleware, and data platforms.Familiarity with cloud data architecture, modern ETL/ELT approaches, and API-based data exchange.Collaborative mindset; ability to work with multidisciplinary teams and communicate effectively with technical and non-technical stakeholders. Nice to have Experience in data More ❯

architecture and business stakeholders Manage relationships with external data providers and vendors Candidate Requirements Proven experience as a Data Architect, BI Architect, or similar Familiarity with MuleSoft or other ETL/integration platforms Strong hands-on expertise in Power BI, data modelling, and performance optimisation Deep understanding of Salesforce data structures and integrations Proficiency in Azure data services Experience designing More ❯

closely with the Data Architect to collaborate on Design of our data architecture and interpret into a build plan Lead the build and maintenance of scalable data pipelines and ETL processes to support data integration and analytics from a diverse range of data sources, Cloud storage, databases and APIs Deliver large-scale data processing workflows (ingestion, cleansing, transformation, validation, storage … closely with the Data Architect to collaborate on Design of our data architecture and interpret into a build plan Lead the build and maintenance of scalable data pipelines and ETL processes to support data integration and analytics from a diverse range of data sources, Cloud storage, databases and APIs Deliver large-scale data processing workflows (ingestion, cleansing, transformation, validation, storage More ❯