1 to 25 of 28 ETL Jobs in the South East

a focus on FSS (Financial Services System) and associated functional, business, and data processes. Additionally, the Test Engineering Manager will oversee data migration and ETL (Extract, Transform, Load) activities, ensuring the successful delivery of source-to-target mapping and business sign-off. Key Responsibilities: Lead and manage the testing team … write complex queries and perform data analysis. Strong understanding of the data migration lifecycle, approaches, tools, and techniques. Proven experience in data migration and ETL, including source-to-target mapping and business sign-off. Technical test experience, with a track record of successful project delivery. Previous experience in people management more »

Key Responsibilities: Lead migrations from on-premises SQL Server to CBC Microsoft Azure SQL and/or 3rd Party hosted platforms. Execute Data Migration ETL Projects to migrate data to new target replacement systems. Contribute to the CBC Azure Data Platform/Lakehouse projects, by designing and implementing data warehouses … and dimensional models. Develop ETL data pipelines using Azure Data ETL tools such as Data Factory and Databricks. An understanding of legacy SSIS packages will be beneficial. Write Python/PySpark scripts and T-SQL for Lakehouse/Database management (tables, views, indexes, stored procedures). Use Azure Data Factory … Analytics, designing and implementing Data warehouses and associated dimensional models Proficient in reporting and analytics tools, such as PowerBI A strong background in developing ETL data pipelines with Azure Data ETL tools is also required This role is covered by the Code of practice of the English language requirements for more »

re Looking For: Qualifications: Tertiary degree in Computer Science or a related discipline, with Boomi Developer Certification. Additional qualifications in MS SQL, API development, ETL are desirable. Experience: 2-3 years of application development experience, preferably with exposure to the Boomi integration platform and Master Data Management solutions. Proven ability … to work on multiple projects, delivering integrated end-to-end solutions. Skills: Strong foundation in Boomi integration, ETL processes, SQL Server, and JavaScript. Knowledge of Azure Cloud Services and Master Data Management platforms is a plus. Why Join Us? Location: Enjoy working remotely. Culture: Be part of a team that more »

impact on internal stakeholders and customers is understood. Qualifications What we’re looking for Proficient across many domains of data engineering, including ELT/ETL, metadata management, data integration, data management in transit and at rest and data streaming. Experience of Kimball modelling techniques to design databases & data warehousing solutions more »

specific and direct focus on adding to and improving our Power BI environment. Key Accountabilities: Work with Azure Data Factory to build and maintain ETL solutions. To assist with the organising and managing of the data in the data warehouses. Build and amend Power BI reports and dashboards. Optimise current more »

released to production. The candidate will work both collaboratively and alone to understand available data sources & models, define and construct datasets for analysis applying ETL/ELT principles, and build reporting/insights to communicate status and observations to consumers. As a team we work end-to-end with our … Data Science, Machine Learning and/or Statistical concepts Experience with statistical analysis in R or Python Experience with Azure Data Explorer Development of ETL & ELT pipelines Familiarity with NoSql/Non-relational databases Working in the Azure cloud environment Agile principles and Scrum methodology Understanding of GDPR/Privacy more »

is delivered on all data platforms. Success in this role looks like: Knowledge and experience using SQL server management studio. Experience in data warehousing, ETL processes, and database management. Experience using fact and dimension tables. Managing backlogs in Azure DevOps Strong leadership, mentorship and line management skills. Exceptional communication and more »

testing techniques and tools Nice to haves/You will gain exposure to: Experience in Coaching and mentoring Data testing with an understanding of ETL's Awareness of geospatial systems and technologies If you have the above experience please send your CV for immediate consideration as our client are looking more »

venture into the world of MLOps/AIOps. Key experience desired/what you will learn: Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP, AWS, and/or Azure services Cloud Database Management: BigQuery, Snowflake, Databricks, and Redshift Architect data models and schemas in BigQuery to more »

venture into the world of MLOps/AIOps. Key experience desired/what you will learn: Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP services such as BigQuery, Dataflow, and Cloud Storage. If you have experience across AWS and Azure, we can train you up on more »

data qualifications such as Togaf 9 are required for this role. You must have at least 5 to 10 years experience of data migration (ETL), Master Data Management, and Enterprise Data architecture design and deployment. With strong interpersonal skills to engage with key business stakeholders and secure Master Data Ownership more »

with a strong understanding of the data migration lifecycle, approaches, tools and techniques. with managing large volumes of data, using tooling to support the ETL process, and comfortable dealing with data from multiple legacy systems requiring significant transformation. with data mapping system-to-system (e.g. Legacy to new ERP), and more »

architecture and database design within complex enterprise environments. Proficiency in data modelling techniques, database normalization, and denormalization strategies. Strong understanding of data integration patterns, ETL processes, data warehousing, and data lake architectures. Experience with a variety of database systems, such as relational databases (e.g., SQL Server, Oracle) and NoSQL databases … relationships. Assess and recommend appropriate data storage technologies, database management systems, and data processing frameworks to optimize performance and scalability. Design data integration and ETL processes to ensure seamless data flow across systems and support business intelligence and reporting requirements. Define and enforce data security and privacy measures, including access more »

strategy, and defining integration delivery best practices and linking Business Platforms with the objectives of the Brambles business. Experience supporting, implementing and delivery on ETL applications. Migrating to new and off existing ETL landscapes a plus. Working knowledge implementing industry standards and governance on real, near real time, and scheduled more »

science software. - Excellent analytical skills with a strong attention to detail. - Proficiency in Python for data manipulation and automation tasks. - Familiarity with data modelling, ETL processes, and data visualization best practices. - Ability to interpret technical specifications and translate complex business requirements into technical solutions. Preferred Qualifications/experience: - Bachelor's more »

data cleansing activities. Being able to engage the business in cleansing activities. Strong background in SAP Information Steward and SAP Data Services or similar ETL/DQ tools. Good understanding of Data Models Good practical knowledge in MS SQL and SAP ECC Good understanding/practical use of ML solutions more »

efficiency and data insights. What We're Looking For: Proven experience in data implementation projects, with a solid understanding of data architectures, databases, and ETL processes. Strong analytical skills, with the ability to translate complex data concepts into actionable strategies. Excellent communication and leadership abilities, capable of guiding teams and more »

The research team is actively working on multiple collaborative data platforms, supporting cutting-edge discovery projects involving complex extract-transform-load data pipelines, data engineering, analysis and visualisation. To further develop and support the end-to-end data management, we are recruiting a highly motivated Data Engineer to join to … internationally you will ensure that datasets are appropriately captured, annotated, and shared within the data platform. This will require innovation and further development of ETL pipelines, capture, sharing, and visualisation approaches following the findable, accessible, interoperable, and reproducible (FAIR) approach, as well as data cleansing, enabling governance by design of more »

of the data migration as per overall delivery plan. * Support testing of data migrated, covering unit testing, coordination with suppliers assigned DM consultant for ETL and related testing. * Conduct user acceptance testing of each data load, as well as further regular internal loads, this would need coordination with business leads …/SMEs, and users. * Knowledge of legacy databases as well as ETL process that will be used by the supplier of the target system. * Eye for details and accuracy for data extractions from the legacy system to avoid duplication or inaccurate data being migrated to target system. * Solution focus attitude … systems. * Data protection acumen as data dealt with will be of vulnerable people at risk. * Experience of working as data migration consultant independently using ETL framework. * Experience of data design, development with experience of SQL, Scripting, data mining techniques to carry out data extraction from the legacy system. * Experience of more »

Togaf 9 or Prince 2 would be very useful for this role. You must have at least 3 years experience of systems, data migration (ETL), Master Data Management, and Enterprise Data architecture design and deployment. With strong interpersonal skills to engage with key business stakeholders and secure Master Data Ownership more »

in SQL with at least 2 years of experience using SQL for data manipulation and analysis • Solid understanding of data modelling data warehousing and ETL concepts You'll have an understanding of: • Collaborating with cross-functional teams to gather and document business requirements for data analysis projects • Data modelling and more »

Occasionally, being able to lend hands-on support to the team working on and using the following technologies:Data Warehousing, Data Modelling, Database Design, ETL, AWS Redshift, SQL Server, Power BI, Cloud/DevOps AWS, Docker, Terraform, Bitbucket, Bamboo, Team City, Octopus CI/CD deploy pipeline, Agile, pair programming more »

Tealium IQ, GTM and Adobe Dynamic Tag Manager) changes. Integrate data sources via web and REST APIs. Data pippingand modelling using SQL, DBT, Airflow, ETL, Data Warehousing, Redshift and Python. Transfer knowledge of the business processes and requirements to the development teams. Collaborate with Product, Marketing and Development teams to more »

a Data Analyst Must have experience with SQL for data manipulation and analysis Must have a solid understanding of data modelling, data warehousing, and ETL concepts Ideally experience working with Jira Ideally experience in the healthcare or related sectors If you want to impact and create change positively, you'll more »

and PySpark/Python). Proficiency of designing and building API and API Consumption. Familiarity with data visualisations tools such as PowerBI. Proficiency in ETL/ELT tooling. Experience with deploying infrastructure as code and CI/CD pipelines. Ability to lead on the appraisal of architectures as they relate … Data Models, Data Architecture, Data Integration, DIAS, Microsoft Azure, Azure DB, Data Lakes, Azure Synapse, Power BI, Azure Data Factory, SQL, PySpark, Python, APIs, ETL, ELT, CI/CD, Data Pipelines, Data-as-a-Service. Please note that due to a high level of applications, we can only respond to more »