101 to 125 of 236 ETL Jobs in the South East

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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 ❯

settings. Hands-on experience with master data management , ideally Profisee MDM. Solid background in data quality surveys and standards. Skilled with tools like SQL , ETL platforms , data modeling , and data visualisation tools. Strong technical problem-solving chops with an eye for patterns and anomalies. Proven track record of working cross More ❯

as a Product Owner or Technical Product Manager, with a deep love for all things data. Tech Know-How: Solid understanding of data warehousing, ETL, analytics, and visualisation tools. SQL, Python, or similar languages? Even better. Leadership Mojo: You inspire, influence, and energize teams - whether you’re leading directly or More ❯

be required to use some of the below so any experience would be useful; » Google Analytics » Snowflake (or similar data warehouses) » Fivetran (or similar ETL tools) » Xero (or similar Finance tools) » Canto (or similar Digital Asset Management systems) » T-SQL. » Experience with cross-system automation tools e.g. Zapier, Power Automate. More ❯

improve reliability and reduce effort. Share best practices, tools, and patterns across the Customer Success and Engineering teams. Tooling & Data Operations: Maintain and evolve ETL pipelines used to onboard customer data and feed core services. Manage core data templates, baseline datasets, and internal reference tooling. Continuously seek opportunities to optimise More ❯

improve reliability and reduce effort. Share best practices, tools, and patterns across the Customer Success and Engineering teams. Tooling & Data Operations: Maintain and evolve ETL pipelines used to onboard customer data and feed core services. Manage core data templates, baseline datasets, and internal reference tooling. Continuously seek opportunities to optimise More ❯

and access of data to support colleagues to make data-driven decision and drive results. ✅ Must have requirements: Python SQL expertise designing and maintaining ETL/data pipelines ideally proficiency in multiple cloud infrastructures, databases and data warehousing solutions - AWS and GCP being Airflow 👍 Bonus points for: Experience working in More ❯

a plus) Strong understanding of enterprise business processes (e.g., finance, supply chain, procurement, or customer service) Experience with data integration tools and techniques (SQL, ETL tools, APIs). Familiarity with ERP/CRM platforms such as SAP, Oracle, Salesforce, etc. Excellent communication skills and ability to interface with both technical More ❯

and management of a modern, cloud-native data platform (Databricks), ensuring it’s scalable, secure, and performance-optimised. Design and oversee robust data pipelines (ETL/ELT) to enable seamless data ingestion, transformation, and integration. Drive best practices around CI/CD, containerisation, and infrastructure-as-code across data operations. More ❯

of end-to-end data loads and reconciliations WHAT IT TAKES Degree level qualification in Computer Science (or other technology-related field) Experience in ETL/Data Migration/Data Quality/Data Analysis Functional ERP experience Project experience across multiple ERP implementations Database experience - SQL Server, Oracle, etc. Customer More ❯