1 to 14 of 14 ETL Jobs in Scotland

maintaining data architectures Leading projects and teams Ensuring data quality and integrity Preferred skills: Proficiency in AWS Glue, AWS Redshift, and Python Experience with ETL processes, data integration, and data warehousing. Strong SQL skills Experience with Big Data technologies such as Hadoop, Spark, and Kafka Familiarity with cloud platforms (AWS more »

in front-end visualisation tools - Power BI Experience with Azure Databricks Strong skills in data storytelling and dashboard creation Understanding of backend data processes (ETL, data integration) Experience with SQL, Python, Git Additional skills: Excellent communication and stakeholder management skills Ability to translate complex data into actionable insights. Strong analytical more »

Azure resources like Data Factory, Databricks, Data Lake, SQL Database, and SQL Data Warehouse. Senior-level experience in data engineering, including designing data models, ETL pipelines, and conducting testing/QA. Experience with Azure DevOps, including best practices in source control, CI/CD, and change control. Why Join Us more »

Azure data resources: Data Factory, Databricks, Storage Account, SQL Database, SQL Data Warehouse. Senior-level experience in data engineering, including designing data models and ETL pipelines, engineering robust solutions, and conducting testing and QA. Expertise in Azure DevOps, with a focus on source repository control, CI/CD, and change more »

Azure data resources: Data Factory, Databricks, Storage Account, SQL Database, SQL Data Warehouse. Senior-level experience in data engineering, including designing data models and ETL pipelines, engineering robust solutions, and conducting testing and QA. Expertise in Azure DevOps, with a focus on source repository control, CI/CD, and change more »

Scotland (Hybrid) - All employees must be eligible to work without sponsorship Salary: £70,000 - £85,000 The Role: Lead the Data team to deliver ETL processes, build and maintain data pipelines, enhance scalability, performance, maintainability, configurability and usability Be involved in the entire life-cycle of the Data Strategy, including more »

client site. Preferred skills: Experience with Azure and Databricks Proficiency in SQL and/or similar data technologies Familiarity with data pipeline tools and ETL processes Knowledge of cloud platforms and data architecture Experience working in the Retail Banking sector or financial services would be highly beneficial. This is a more »

/on client site. Preferred skills: SAS Data Engineering Proficiency in SQL and/or similar data technologies Familiarity with data pipeline tools and ETL processes Knowledge of cloud platforms and data architecture Experience working in the Retail Banking sector or financial services would be highly beneficial. This is a more »

scale environments. Proficiency with cloud services (Azure preferred). Strong background in metadata management, and ensuring data quality. Hands-on experience with data integration, ETL processes, and data consistency. Experience in data governance, security, and compliance. Proven ability to manage and resolve design issues in data architecture projects. Collaborative experience more »

squads will be across Web and App, with one more on the React and JavaScript side, with the other more Java focused across Data, ETL and APIs. However, as mentioned, there is an abundance of technologies as below: ** Web across JavaScript and React ** Mobile iOS ** Mobile Android (Kotlin or Java more »

squads will be across Web and App, with one more on the React and JavaScript side, with the other more Java focused across Data, ETL and APIs. However, as mentioned, there is an abundance of technologies as below: ** Web across JavaScript and React ** Mobile iOS ** Mobile Android (Kotlin or Java more »

data analysis tools Knowledge of data warehousing and modeling concepts Proficiency in statistical programming languages like R and Python Experience with data integration and ETL tools Knowledge of machine learning algorithms and techniques Strong problem-solving skills and working with large datasets Excellent communication skills Attention to detail and ability … to work independently Ability to extract, manipulate and review large quantities of complex data Ability to interpret data and translate complex material into easily understandable conclusions In return for your commitment, drive, and enthusiasm, we offer an attractive benefits package, flexible working, and the opportunity to make a difference in more »

architectures to build and maintain robust data pipelines. Technological Proficiency: Experience with technologies such as Azure Data Factory, Pentaho Data Integrator, Apache Hop, etc. ETL/ELT Practices: Strong understanding of modern ETL/ELT practices, frameworks, tooling, and execution environments. Data Delivery: Knowledge of data delivery approaches like batch more »

Engineer Location: Edinburgh, Scotland (Hybrid) - All employees must be eligible to work without sponsorship Salary: £50,000 - £70,000 The Role: Design and develop ETL processes Design, build and maintain end-to-end data pipelines Identify, root cause analysis, and fix incidents related to data management Manage company data, monitor … Desirable's: Proven experience of Azure Services Knowledge of Data bricks and Jupyter notebooks Experience in data science and Machine learning models Azure | SQL | ETL | Data Models | Python | Design | R | Data Mining | Hybrid | Edinburgh | Please apply if you are a Data Engineer and are interested in hearing more. Research indicates more »