23 of 23 ETL Jobs in Scotland

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 ❯

members through technical guidance. Collaborate with stakeholders to deliver user-centric solutions. About the Candidate The ideal candidate will possess the following: Strong understanding of data warehousing, ELT/ETL processes, and data modelling. Proficiency in Azure, Snowflake, and DBT. Experience in application modernisation and migration. Ability to produce clean, testable, maintainable code. CI/CD pipeline implementation and test More ❯

collaboration abilities. GCP certifications such as Associate Cloud Engineer or Professional Cloud Developer. Experience with CI/CD automation on cloud platforms. Background in working with large datasets and ETL pipelines. JBRP1_UKTJ More ❯

collaboration abilities. GCP certifications such as Associate Cloud Engineer or Professional Cloud Developer. Experience with CI/CD automation on cloud platforms. Background in working with large datasets and ETL pipelines. JBRP1_UKTJ More ❯

collaboration abilities. GCP certifications such as Associate Cloud Engineer or Professional Cloud Developer. Experience with CI/CD automation on cloud platforms. Background in working with large datasets and ETL pipelines. JBRP1_UKTJ More ❯

innovative solutions. We need you to have API Integration & Automation : Strong experience in pulling data from RESTful APIs, handling authentication (OAuth, API keys), and automating data pipelines. Data Engineering & ETL : Proficiency in transforming, cleaning, and merging datasets from multiple sources. Security Tooling Familiarity : Understanding of common security platforms (e.g., SIEMs, vulnerability scanners, identity platforms) and their data outputs. Power BI More ❯

innovative solutions. We need you to have API Integration & Automation : Strong experience in pulling data from RESTful APIs, handling authentication (OAuth, API keys), and automating data pipelines. Data Engineering & ETL : Proficiency in transforming, cleaning, and merging datasets from multiple sources. Security Tooling Familiarity : Understanding of common security platforms (e.g., SIEMs, vulnerability scanners, identity platforms) and their data outputs. Power BI More ❯

innovative solutions. We need you to have API Integration & Automation : Strong experience in pulling data from RESTful APIs, handling authentication (OAuth, API keys), and automating data pipelines. Data Engineering & ETL : Proficiency in transforming, cleaning, and merging datasets from multiple sources. Security Tooling Familiarity : Understanding of common security platforms (e.g., SIEMs, vulnerability scanners, identity platforms) and their data outputs. Power BI More ❯

to a range of modern technologies including some of the below: Cloud platforms (GCP, AWS, Azure) and hybrid hosting architectures APIs, microservices, and modular applications Data strategies (data lifecycle, ETL, data modelling, governance) Cybersecurity Technology sustainability Payments, digital transformation, retail banking Collaboration & Communication Strong communication and storytelling skills Ability to build trusted relationships across engineering, product, and business teams Continuous More ❯

as Logic Apps, Function Apps, Service Bus, Event Grid, Event Hub, and API Management. Experience with RESTful APIs, JSON, and integration patterns (eg, pub/sub, request/response, ETL). Understanding of DevOps practices and tools (Azure DevOps, GitHub, CI/CD). Knowledge of security and identity management in Azure (eg, OAuth2, Managed Identities, RBAC). Understanding of More ❯

AI systems combining text, image, and structured data Reinforcement Learning from Human Feedback (RLHF) for model alignment Production ML Systems Apache Airflow/Dagster for ML workflow orchestration and ETL pipeline management Model versioning and experiment tracking (MLflow, Weights & Biases) Real-time model serving and edge deployment strategies A/B testing frameworks for ML model evaluation This role has 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 ❯

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 ❯

Platform Design appropriate back-end data structures, and intuitive front-end interfaces Design and build Power Pages solutions. Build and modify dimensional data models for analytics Build and modify ETL process to incorporate data from multiple sources Visualise data for business customers through reporting Apply best practises and optimal methods to ensure performance and efficiency in solutions. Engage with users … PowerApps, Power Automate, Power BI and Power Pages. Understanding of relevant programming, markup and query languages to support development, including DAX, M, HTML, SQL, JavaScript Experience with data visualisation, ETL processes, and data modelling for reporting. Understanding of data platforms and design, including Dataverse, SharePoint, SQL Be detail oriented and technically minded Excellent communication skills with the ability to express More ❯

Platform Design appropriate back-end data structures, and intuitive front-end interfaces Design and build Power Pages solutions. Build and modify dimensional data models for analytics Build and modify ETL process to incorporate data from multiple sources Visualise data for business customers through reporting Apply best practises and optimal methods to ensure performance and efficiency in solutions. Engage with users … PowerApps, Power Automate, Power BI and Power Pages. Understanding of relevant programming, markup and query languages to support development, including DAX, M, HTML, SQL, JavaScript Experience with data visualisation, ETL processes, and data modelling for reporting. Understanding of data platforms and design, including Dataverse, SharePoint, SQL Be detail oriented and technically minded Excellent communication skills with the ability to express 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 ❯

UI/UX, performance, maintainability, deployability, etc... - Troubleshoot development and production problems across multiple environments and operating platforms, from the AWS-based modern stack to the multiple strands of ETL and database (legacy and otherwise) that underpins the service. - Routinely use collaborative development practices such as pairing and mobbing techniques in programming, code reviews, system design and requirements analysis/… methods - Multi-modal AI systems combining text, image, and structured data - Reinforcement Learning from Human Feedback (RLHF) for model alignment - Apache Airflow/Dagster for ML workflow orchestration and ETL pipeline management - Model versioning and experiment tracking (MLflow, Weights & Biases) - Real-time model serving and edge deployment strategies - A/B testing frameworks for ML model evaluation If you would More ❯

UI/UX, performance, maintainability, deployability, etc... - Troubleshoot development and production problems across multiple environments and operating platforms, from the AWS-based modern stack to the multiple strands of ETL and database (legacy and otherwise) that underpins the service. - Routinely use collaborative development practices such as pairing and mobbing techniques in programming, code reviews, system design and requirements analysis/… methods - Multi-modal AI systems combining text, image, and structured data - Reinforcement Learning from Human Feedback (RLHF) for model alignment - Apache Airflow/Dagster for ML workflow orchestration and ETL pipeline management - Model versioning and experiment tracking (MLflow, Weights & Biases) - Real-time model serving and edge deployment strategies - A/B testing frameworks for ML model evaluation If you would More ❯

UI/UX, performance, maintainability, deployability, etc... - Troubleshoot development and production problems across multiple environments and operating platforms, from the AWS-based modern stack to the multiple strands of ETL and database (legacy and otherwise) that underpins the service. - Routinely use collaborative development practices such as pairing and mobbing techniques in programming, code reviews, system design and requirements analysis/… methods - Multi-modal AI systems combining text, image, and structured data - Reinforcement Learning from Human Feedback (RLHF) for model alignment - Apache Airflow/Dagster for ML workflow orchestration and ETL pipeline management - Model versioning and experiment tracking (MLflow, Weights & Biases) - Real-time model serving and edge deployment strategies - A/B testing frameworks for ML model evaluation If you would More ❯

Acturis Business Systems Analyst Insurance Glasgow This is a new and exclusive role for a Acturis Business Systems Analyst to join my thriving Insurance client based in Glasgow city centre as they expand their acturis projects team. Role details Title More ❯

Acturis Business Systems Analyst Insurance Glasgow This is a new and exclusive role for a Acturis Business Systems Analyst to join my thriving Insurance client based in Glasgow city centre as they expand their acturis projects team. Role details Title More ❯

Acturis Business Systems Analyst Insurance Glasgow This is a new and exclusive role for a Acturis Business Systems Analyst to join my thriving Insurance client based in Glasgow city centre as they expand their acturis projects team. Role details Title More ❯

Acturis Business Systems Analyst Insurance Glasgow This is a new and exclusive role for a Acturis Business Systems Analyst to join my thriving Insurance client based in Glasgow city centre as they expand their acturis projects team. Role details Title More ❯