City Of London, England, United Kingdom Hybrid / WFH Options
Morgan Hunt
/SQL Proven expertise with Microsoft SQL Server Integration Services and BI tools like Power BI, Power Pivot, and SSRS Experience in data warehousing, ETL, data modelling, and data orchestration Excellent stakeholder management and communication skills A degree in Computer Science, IT, or a related STEM subject Morgan Hunt is more »
City of London, London, United Kingdom Hybrid / WFH Options
In Technology Group Limited
you apart. Experience with DevOps practices, CI/CD pipelines, and deployment automation is a definite plus. If you have experience in data modeling, ETL processes, and data analytics/reporting tools like PowerBI, we'd love to hear about it. Show us your excellent interpersonal skills and ability to more »
City of London, London, United Kingdom Hybrid / WFH Options
Tech Talent Identified Ltd
Data science, machine learning & AI Data compliance standards and regulations: PII, GDPR, CCPA, etc Experience of handling PII datasets and operationalising DSAR Experience of ETL processes and governance Appropriate use of data cleansing techniques and tools Demonstrable experience creating and managing backlogs to meet strategic objectives Articulate, able to create more »
City of London, London, United Kingdom Hybrid / WFH Options
Nigel Frank International
to (url removed) or alternatively, give me a call on (phone number removed). Keywords: Azure, Microsoft SQL Server, SQL Server, Data Platform, Databricks, ETL, DevOps, Data Warehouse, Architecture, Development, SSIS, T-SQL, SQL, ADF, Data Factory, RDBMS, London more »
communication skills and ability to work effectively in a remote setting. Nice to Haves: + Experience with SQL Server Integration Services (SSIS) or similar ETL tools. + Understanding of Authentication via SSO + Experience with Infrastructure as Code (Azure ARM/Bicep) What’s on Offer: + A fully remote more »
City of London, London, United Kingdom Hybrid / WFH Options
Nigel Frank International
Data Factory, Azure Data Lake Storage, Azure Synapse, Azure HD Insight etc. Expertise in SQL programming, including designing and optimising complex queries and databases ETL process design using Azure Data Factory Data warehouse development experience using Azure Synapse Analytics Experience with Snowflake would be desirable but not essential Excellent communication more »
City of London, London, United Kingdom Hybrid / WFH Options
Adecco
teams to understand data requirements and design efficient data pipelines. Develop and maintain scalable data models and databases. Design and implement data integration andETL/ELT processes. Optimise and tune data storage and retrieval processes. Collaborate with the Data Science team to implement machine learning algorithms and AI models. … and Python Proficiency in building and optimising data pipelines, architectures, and datasets Familiarity with Medallion architecture and data lakes. Experience with data integration andETL/ELT processes. Knowledge of DataOps principles and experience with CI/CD tools Strong problem-solving and troubleshooting skills. Excellent communication and collaboration skills. more »
City of London, London, United Kingdom Hybrid / WFH Options
JISC
entry definition Skilled in creating and managing large and complex data models Experience of using SQL to query relational databases Expertise in working with ETL tools such as Alteryx Flexibility to travel and to meet with key stakeholders Keen interest in own continuing professional development Don't meet every single more »
City of London, Coleman Street, United Kingdom Hybrid / WFH Options
Xpertise Recruitment
If interested, please see the details below: Overview of role: You will be responsible for overseeing the lifecycle of data systems, optimising performance, managing ETL processes, and ensuring compliance. This will involve collaborating with cross-functional teams for automating tasks and troubleshoot issues. This is a critical role in ensuring … Salary: £85,(Apply online only) + 20% bonus (discretionary) + Pension Experience required: Extensive knowledge and experience in data warehousing Expertise in physical modelling, ETL, ELT, CDC, semantic layers, rules engines, and reconciliation principles High level knowledge of SQL Proficiency in Python, Snowflake, and AWS Skilled in implementing monitoring, automated more »