11 of 11 Part-Time ETL Jobs in the UK excluding London

high‐performance data ingestion pipelines for batch and streaming data from multiple sources, including sensor, geospatial, communications and operational systems. \n Design and implement ETL/ELT workflows to transform, enrich and validate data for downstream analytics and machine learning use. \n Build scalable, distributed data processing solutions using modern ...

high‐performance data ingestion pipelines for batch and streaming data from multiple sources, including sensor, geospatial, communications and operational systems. \n Design and implement ETL/ELT workflows to transform, enrich and validate data for downstream analytics and machine learning use. \n Build scalable, distributed data processing solutions using modern ...

Desirable: \n \n Experience working in government, defence, or highly regulated industries with knowledge of relevant standards. \n Experience with additional data processing and ETL tools like Apache Kafka, Spark, or Hadoop. \n Familiarity with containerization and orchestration tools such as Docker and Kubernetes. \n Experience with monitoring and alerting ...

and dataset is discoverable, addressable, and secure by design. \n Data capabilities: You understand the full lifecycle of data from data discovery, storage, pipelines, ETL, streaming through to how data is managed including data quality, metadata management and how data is used for applications and core decision making through advanced ...

design of solutions using one or more from: SQL and noSQL technologies, data streaming, logging and monitoring tools, BI and Data Warehousing solutions and ETL and migration technologies \n A thorough understanding of one or more from: Master Data Management, Data Lineage analysis, Metadata Management, Data Quality assessment and management ...

processing solutions and deploying into a production environment \n \n \nProficient in SQL and SQL extensions for analytical queries\n \n \nSolid understanding of ETL/ELT data processing pipelines and design patterns\n \n \nAware of key features and pitfalls of distributed data processing frameworks, data stores and data ...

Intelligence, Data Warehousing, Data Science, or Analytics Engineering). Conceptual and practical familiarity with modern cloud data platforms (Snowflake, AWS) and data pipelines (dbt, ETL/ELT workflows). \n Active curiosity and comfort leveraging Generative AI tools to streamline administrative and analytical outputs. \n Expert-level skills in Requirements ...

ensure the products are adopted and trusted. \n\n To do that, it’s essential you bring the following: \n \n Experience using ETL tools to ingest, transform and store data. \n Experience designing and developing cloud data platforms (AWS, GCP or Azure preferable) \n Good knowledge of data warehouse ...

and data visualisation tools (ideally Hadoop and Tableau). \n• Advanced data collection from a range of different sources. \n• Strong SQL. \n• Advanced ETL (cleansing, etc.) \n• Thinking at a conceptual level across several customer and colleague touch points. \n \nPersonal; \n \n• Flexibility, ability to plan and organise ...

which meet their needs \n Collaborating with data engineers and integration specialists within the team and across the wider business to deliver data pipelines, ETL processes and data models that meet requirements \n Developing and maintaining a suite of engaging Power BI dashboards including enterprise level semantic models along with … and business partnering skills with the ability to translate business requirements into data solutions \n Experience of marketing orchestration platforms (e.g. Bloomreach) or reverse ETL tools (e.g. HighTouch) is desirable \n Knowledge of marketing and digital data (e.g. Google Analytics, BiqQuery) would be advantageous \n Change management using JIRA and ...

operations, data management, analytics, or automation, enabling effective handling and transformation of large datasets \n Strong SQL proficiency (e.g., PostgreSQL, MySQL, SQL Server) to extract, transform, and optimize data for reporting and operational use \n Hands-on Python experience (Pandas, NumPy) for data manipulation and analysis, supporting scalable data workflows … Understanding of data architecture, data modeling, and ETL processes to ensure efficient data integration and pipeline development \n Experience implementing data quality frameworks to ensure accuracy, consistency, and completeness of datasets \n Strong communication and problem-solving skills to collaborate across global teams and translate complex data insights into actionable ...