16 of 16 ETL Jobs in Glasgow

in Computer Science, Engineering, or a related field. Proven experience as a Data Engineer or in a similar role. Proficiency in SQL, Python, and ETL tools. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Strong understanding of data warehousing concepts. Excellent problem-solving skills and attention to detail. More ❯

design and functionality problems independently with little to no oversight. Experience performing data analytics on AWS platforms. Experience in writing efficient SQLs, implementing complex ETL transformations on big data platforms. Experience in Big Data technologies (Spark, Impala, Hive, Redshift, Kafka, etc.). Experience in data quality testing; adept at writing More ❯

more modern programming languages and database querying languages with good overlap of application & DB. Experience in data platform, data engineering, large scale data processing, ETL, Lake house and experience in micro services, API design, Kafka, Redis, MemCached, Observability (Datadog, Splunk, Grafana or similar), Orchestration (Airflow, Temporal) Proficient in SQL and More ❯

in a data environment. Understand data structures and data model (dimensional & relational) concepts like Star schema or Fact & Dimension tables, to design and develop ETL patterns/mechanisms to ingest, analyse, validate, normalize and cleanse data. Liaise with data/business SME to understand/confirm data requirements and obtain More ❯

in a data environment. Understand data structures and data model (dimensional & relational) concepts like Star schema or Fact & Dimension tables, to design and develop ETL patterns/mechanisms to ingest, analyse, validate, normalize and cleanse data. Understand and produce 'Source to Target mapping' (STTM) documents, containing data structures, business & data More ❯

company's CRM, so experience here would be advantageous. Desired Skills Designing and building robust data pipelines for scalable data processing Developing and maintaining ETL workflows to support analytics and reporting Hands-on with Azure ecosystem: Data Factory, Databricks, and Synapse Analytics Experience working with data warehousing solutions and architecture More ❯

experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more More ❯

Experience with PySpark, including analysis, pipeline building, tuning, and feature engineering. Knowledge of SQL and NoSQL databases, including joins, aggregations, and tuning. Experience with ETL processes and real-time data processing. Experience developing, debugging, and maintaining code in large corporate environments using modern programming languages and database querying languages like More ❯

proficient applied experience. Hands-on practical experience in system design, application development, testing, and operational stability. Experience in Java, Spring Boot, Spring Data, JDBC, ETL, OpenAPI Doc, WSDL, JUnit, Kubernetes, Splunk, Dynatrace. Advanced in building REST API with Java, Oracle. Experience in developing UI applications using React. Experience in developing More ❯

Experience with cloud technologies (AWS or GCP), via hands-on work or certification. Practical experience with data lake or data warehouse technologies (e.g., Spark, ETL, Databricks). Preferred Qualifications, Capabilities, and Skills Experience with metadata processes and technology, along with a background in data management and data quality. Hands-on More ❯

used in critical processes. What You Will Need to Succeed The following skills and experience are essential for this role: Knowledge and experience with ETL methodologies and practices. Understanding of data cleanse principles and the ability to apply them across large data sets. Ability to understand systems topography and develop More ❯

performance and scalability. Data Science & Engineering: Handle large datasets and implement data pipelines, utilizing Python, SQL, and Azure data services for preprocessing and transformation. ETL & Real-Time Processing: Implement ETL pipelines and real-time data processing to support AI solutions. AI Solution Integration: Enhance enterprise applications with AI services like More ❯

managing databases, delivering high-impact reporting solutions, and powering data-driven decision-making across the business. What You’ll Be Doing 🚀 Develop and maintain ETL processes using SSIS and Power Platform flows , transforming data from internal systems into a centralized SQL Server data warehouse . Support the company’s BI … Experience: Strong SQL development skills Solid understanding of database and data warehousing principles Experience with Power BI or similar data visualization tools Familiarity with ETL design and data integration best practices Excellent communicator who can engage technical and non-technical stakeholders Bonus (Desirable) Skills: DAX (Data Analysis Expressions) PowerShell or More ❯

one, you'll be working across the full BI pipeline to rebuild reporting architecture using SQL, SSRS, SSIS , and Power BI , design brand new ETL pipelines, and deliver meaningful business critical insights. It's a rare opportunity to help shape a modern data landscape from the ground up , not just … plenty of autonomy and responsibility . You'll ideally have strong commercial experience with the following; ** SQL ** Power BI ** SSRS and SSIS ** Experience building ETL pipelines The salary for this role is between £35k to £45k (DOE) including a range of company benefits. They support hybrid working at their Glasgow More ❯

one, you'll be working across the full BI pipeline to rebuild reporting architecture using SQL, SSRS, SSIS , and Power BI , design brand new ETL pipelines, and deliver meaningful business critical insights. It's a rare opportunity to help shape a modern data landscape from the ground up , not just … plenty of autonomy and responsibility . You'll ideally have strong commercial experience with the following; SQL Power BI SSRS and SSIS Experience building ETL pipelines The salary for this role is between £35k to £45k (DOE) including a range of company benefits. They support hybrid working at their Glasgow More ❯

one, you'll be working across the full BI pipeline to rebuild reporting architecture using SQL, SSRS, SSIS , and Power BI , design brand new ETL pipelines, and deliver meaningful business critical insights. It's a rare opportunity to help shape a modern data landscape from the ground up , not just … plenty of autonomy and responsibility . You'll ideally have strong commercial experience with the following; ** SQL ** Power BI ** SSRS and SSIS ** Experience building ETL pipelines The salary for this role is between £35k to £45k (DOE) including a range of company benefits. They support hybrid working at their Glasgow More ❯