16 of 16 ETL Jobs in Hampshire

expert in cloud data engineering, providing technical guidance and mentorship to the team. * Drive the design, development, and implementation of complex data pipelines and ETL/ELT processes using cloud-native technologies (e.g., AWS Glue, AWS Lambda, AWS S3, AWS Redshift, AWS EMR). * Develop and maintain data quality checks More ❯

interactive Power BI dashboards, reports, and data visualizations that meet the needs of stakeholders across various departments. • Data Management & SQL Querying: Utilize SQL to extract, transform, and load (ETL) data from various sources into Power BI. Write complex SQL queries to analyze large datasets and ensure data integrity and accuracy. More ❯

from multiple organisational SQL databases and SaaS applications using end-to-end dependency-based data pipelines, to establish an enterprise source of truth. Create ETL and ELT processes using Azure Databricks, ensuring audit-ready financial data pipelines and secure data exchange with Databricks Delta Sharing and SQL Warehouse endpoints. Governance … Functions, Kubernetes. Background in cloud platforms and data architectures, such as Corporate DataLake, Medallion Architecture, Metadata Driven Platform, Event-driven architecture. Proven experience of ETL/ELT, including Lakehouse, Pipeline Design, Batch/Stream processing. Strong working knowledge of programming languages, including Python, SQL, PowerShell, PySpark, Spark SQL. Good working More ❯

reliable data systems and optimising data workflows. Accountabilities: Design, develop, and maintain scalable and secure data pipelines Implement best practices for data integration and ETL/ELT Collaborate with data analysts and scientists to meet their data needs Optimise the performance and reliability of data systems Lead technical projects related More ❯

office Farnborough) Salary: Competitive Working Hours: Full Time Key Responsibilities: Assessment of data workflows & interfaces status quo, comparing them vs industry best practices & automating ETL processes where feasible. Core development skillsets are required, with particular focus on SQL, Microsoft SQL, Integration Services & Python. Development & reporting services for business-critical daily More ❯

these in alignment with the analytics product development strategy and priorities. The role bridges strategy, operations, and governance, focusing on enabling the organization to extract value from data while maintaining compliance and quality standards. What will be your Key Responsibilities? Strategic Data Management Execute the vision, strategy, and roadmap for … management, data integration, and data engineering best practices. Proficiency in SQL, Python, or other data-focused programming languages. Experience with big data technologies and ETL processes. Project management skills with the ability to operate in Agile framework. Good communication skills, with a track record of aligning technical solutions to business 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 ❯

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 ❯

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 ❯

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 ❯

must but beneficial) A genuine passion for data - its potential, its impact, and how to harness it effectively. Hands-on experience supporting and improving ETL processes. Strong proficiency in SQL and other programming languages used for data analysis. Advanced expertise in Power BI or similar data visualisation tools. Solid understanding More ❯

must but beneficial) A genuine passion for data - its potential, its impact, and how to harness it effectively. Hands-on experience supporting and improving ETL processes. Strong proficiency in SQL and other programming languages used for data analysis. Advanced expertise in Power BI or similar data visualisation tools. Solid understanding More ❯

management strategies, ensuring high-quality, secure, and accessible data across Aztec's ecosystem. Oversee the development of data pipelines, master data management (MDM), and ETL processes to streamline data flows between key platforms. Establish governance frameworks to improve data integrity, lineage, and compliance with industry standards. Lead initiatives to enhance … Governance: Experience with data modelling, data lakes, MDM, and regulatory compliance in financial services. Integration Knowledge: Proficiency in API management, microservices, middleware platforms, and ETL processes. Cloud & Infrastructure Strategy: Expertise in cloud architectures (Azure, AWS, or GCP), containerization (Docker/Kubernetes), and hybrid cloud models. Security & Compliance Awareness: Understanding of … Familiarity with Aztec's key platforms (eFront, Yardi, Viewpoint, Fenergo) is a plus but not essential. Strong understanding of data management, integration patterns (e.g., ETL, API), and security frameworks Design experience or qualifications i.e. TOGAF, COBIT, Zachman, AWS/Azure Solutions Architect etc. an advantage ERP, Financial Services Systems and More ❯