8 of 8 ETL Jobs in Glasgow

database platforms Cloud Architecture: Experience with Azure data services (Azure Data Factory, Azure Synapse, Azure Data Lake) Data Governance: Understanding of data quality, data lineage, and metadata management principles. ETL/ELT Processes: Experience designing and implementing data integration workflows. Business Intelligence: Knowledge of reporting and analytics platforms (Power BI, SSRS, or similar) Data Warehousing: Experience with dimensional modelling and More ❯

Bonus if you have – Proficiency in SQL Server, Azure SQL Database and other enterprise database platforms Experience with Azure data services (Azure Data Factory, Azure Synapse, Azure Data Lake) ETL/ELT: experience designing and implementing data integration workflows Knowledge of reporting and analytics platforms (Power BI, SSRS, or similar) Experience with dimensional modelling and data warehouse architecture patterns API More ❯

controls, and compliance in data management. Technical Skills: Hands-on experience with Python, PySpark, and SQL . Experience with AWS (preferred). Knowledge of data warehousing (DW) concepts and ETL processes. Familiarity with DevOps principles and secure coding practices. Experience: Proven track record in data engineering, data governance, and large-scale data systems. Experience working on change and transformation projects. More ❯

paced environment, tackling a variety of projects while taking a consultative approach to exciting new challenges. Key skills required: Strong experience in API Integration & Automation Proficiency in Data Engineering & ETL Understanding of Security Tooling Familiarity Expertise in Power BI Experience with Cloud & Storage Knowledge (Azure preferred) Good understanding of Data Governance & Security Experience with Infrastructure as Code (IaC) The role More ❯

process Strong specialist experience across several of the following areas: Cloud services (SaaS, PaaS) (AWS preferred) Enterprise integration patterns and tooling (MuleSoft preferred) Enterprise data, analytics and information management, ETL knowledge High volume transactional online systems Security and identity management Service and micro-service architecture Knowledge of continuous integration tools and techniques Design and/or development of applications using More ❯

and accessible software through testing, code quality tools, and best practices. Maintain and improve monitoring, dashboards, deployment, and support procedures. Troubleshoot issues across modern AWS-based systems and legacy ETL/database platforms. Contribute to team practices through pairing, mobbing, code reviews, and process improvement. Share knowledge across wider communities of practice. Mentor and coach team members. Key Skills AI More ❯

for improvement. Ensure the accuracy and reliability of all reporting outputs. Support the automation of reporting processes to improve efficiency. Provide technical expertise in data extraction, transformation, and loading (ETL) processes. Maintain documentation of reporting processes and methodologies. Work closely with stakeholders to ensure reports meet business needs. Profile A successful Reporting & Insight Analyst Developer should have: Proficiency in data … BI or Tableau. Strong SQL skills for querying and manipulating data. Experience in creating and maintaining reporting dashboards. Ability to analyse complex datasets and communicate findings effectively. Knowledge of ETL processes and data management best practices. Knowledge of Teradata and Alteryx is highly desirable A degree in a relevant field such as Data Analytics, Computer Science, or a similar discipline. More ❯

management solutions, including monitoring, log-collection, correlation, and analytics dashboards. Implement application performance monitoring across large-scale distributed systems. Collaborate with cross-functional teams to design scalable and reliable ETL processes using Python and Databricks. Develop and deploy ETL jobs, extracting and transforming data from multiple sources. Take ownership of the full engineering lifecycle: data extraction, cleansing, transformation, and loading. More ❯