1 to 25 of 40 ETL Jobs in the South West

making. In this role, you will be responsible for: Building and managing data pipelines using Azure Data Factory and related services. Building and maintaining data lakes, data warehouses, and ETL/ELT processes. Designing scalable data solutions and models for reporting in Power BI. Supporting data migration from legacy systems into the new platform. Ensuring data models are optimised for More ❯

Solid knowledge of Delta Lake and Lakehouse principles. Hands-on experience with SQL for data transformation. Familiarity with Azure services (ADLS/Blob, Key Vault, SQL). Knowledge of ETL/ELT frameworks and monitoring. Desirable: Understanding of Microsoft Fabric . Experience with DevOps practices (CI/CD). Awareness of data governance and lineage tools . Experience in Financial More ❯

CD and DevOps maturity Ensuring platform reliability, speed and security Skills & Experience Required: Strong hands-on experience with SQL, Python, dbt, Snowflake, SSIS, AWS, and Azure DevOps Skilled in ETL, data warehousing, ingestion pipelines, and big data platforms Comfortable collaborating with both technical and non-technical teams Curious, problem-solving mindset with a drive for innovation and improvement Regarding working More ❯

metadata management, and data governance. Experience with modern data platforms such as Azure Data Lake, Databricks, Power BI, and SAP BTP. Solid grasp of enterprise integration patterns (APIs, streaming, ETL/ELT, event-driven architectures). Ability to translate complex data concepts into clear, value-focused business outcomes. Excellent stakeholder management and communication skills across technical and non-technical audiences. More ❯

in our people whenever we can. About You You will have considerable technical experience and a passion for developing data solutions. Handling data in any format, data modelling and ETL processes will all come naturally to you. You will have a demonstrable technical skillset as engineering skills are paramount to this role. Knowledge of the Energy industry would be useful More ❯

GCP-based data platforms , including BigQuery, Dataflow, CloudSQL, Spanner, Pub Sub, Cloud composer and GKE. Data Engineering : Proficient in modern data tools and frameworks for building, operating, and optimising ETL/ELT pipelines, streaming data, and batch processing. SRE & Automation : Strong understanding of SRE principles, CI/CD, infrastructure as code, and operational automation. Data Literacy : Ability to design, develop More ❯

for: We're seeking someone with significant experience in data reporting and analytics, excellent SQL and Power BI skills, and a strong understanding of relational databases, data modelling, and ETL processes. You'll need a Level 3 qualification in a relevant subject (or equivalent experience), along with a keen eye for accuracy, strong problem-solving abilities, and confidence communicating technical More ❯

the data pipelines, integrations, and platforms that keep Neptune's data accurate, accessible, and secure. Your Key Responsibilities Design, build, and maintain robust ETL pipelines to efficiently extract, transform, and load data from multiple sources. Develop and optimise SQL queries, stored procedures, and database scripts to deliver high-performance data processing. Implement automated data flows that connect operational systems with … engineer manual or ad hoc data processes into scalable, repeatable workflows. Ensure data quality, integrity, and consistency through rigorous testing and validation. Provide proactive and reactive support for database and ETL-related issues, including user guidance where needed. Build structured, accessible datasets that enable clear and reliable business intelligence reporting. Document database structures, ETL processes, and data pipelines to support … ongoing development and maintenance. Work with APIs and programming languages (such as Python) to extend ETL and integration capabilities. Support the development team with advice on database design, indexing, and query optimisation. Monitor and tune database performance, applying updates and version upgrades where required. You'll bring Proven experience as a Data Engineer or in a similar technical data role. More ❯

advanced DAX and data modeling). Excellent leadership, mentoring, and team management skills. Ability to communicate complex data concepts to non-technical stakeholders. Strong understanding of data warehousing and ETL processes. Desirable: Experience with Azure Data Factory or other cloud-based data integration tools. Familiarity with advanced analytics tools (Python, R) and machine learning concepts. More ❯

programming languages - ML/DL frameworks (TensorFlow, PyTorch, scikit-learn, etc.) - DevOps practices, CI/CD, IaC, Docker, Kubernetes - Version control (Git) and collaborative development tools - Data engineering and ETL workflows - Monitoring/logging tools (Prometheus, Grafana, ELK, etc.) - Cloud platforms (AWS, Azure, Google Cloud) with focus on Google Cloud - Strong analytical, problem-solving, communication, and collaboration skills; attention to More ❯

enterprise integration concepts and design patterns. Background in creating anvwd managing APIs, especially REST and SOAP services. Experience working with Azure Logic Apps and Azure Functions. Practical expertise in ETL development and maintenance. Understanding of data formats such as JSON and XML. Proficiency in scripting or programming languages like Python, PowerShell, and SQL. Experience using source control tools, such as More ❯

retrieval and ensure efficient performance across AWS environments Collaborate with stakeholders to translate business requirements into actionable insights Work with AWS services such as Glue, Lambda, and S3 for ETL and data processing Ensure compliance with government data security and governance standards Essential skills: Strong proficiency in SQL and AWS Athena Hands-on experience with AWS data services (Glue, S3 More ❯

Kubernetes), and virtualisation (VMware, IaaS tools like Ansible, Terraform) Excellent analytical, problem-solving, and communication skills Experience working within Agile or DevOps environments Preferred: Knowledge of data integration techniques (ETL, data mapping) Certifications in software architecture or integration technologies Join a forward-thinking team where your expertise will directly impact the success of critical software systems. Apply now to be More ❯

as a Data Analyst Managing and manipulating data experience Strong working knowledge of SQL for data analysis (MS-SQL/Databricks - T-SQL, View and table design, Experience of ETL) Expert with PowerBI Advanced MS Excel (Power Query, Power Pivots) Stakeholder management and facilitation of decisions of all sizes Strong presentation skills for engaging senior stakeholders Ability to handle high More ❯

to) MLOps workflows, such as CI/CD pipelines. Experience with Python and SQL. Critical thinking and ability to problem solve. Experience in developing data pipelines, including exposure to ETL (Extract, Transform, Load) processes Good understanding of software engineering principles such as OOP and TDD. Strong experience with best practices such as version control and unit testing. Ability to communicate More ❯

organisation. ROLE AND RESPONSIBILITIES Manage and enhance data infrastructure to ensure reliability, consistency, and scalability. Support deployment of data models in Databricks and PySpark . Work with data validation, ETL processes, and cross-functional datasets. Lead internal development requirements, supporting analysts and data teams. Mentor and oversee junior team members (graduate/apprentice) - but this role is more technical than More ❯

a hybrid role, requiring at least two days per week on-site at our Poole office. You will support and enhance critical business systems, develop and maintain integration workflows (ETL) between internal and external platforms, and help implement new solutions across the company. The ideal candidate will take initiative in designing and delivering their own solutions to business challenges, with More ❯

throughout delivery. As a Data Engineer, you will: Digest data requirements, gather and analyse large scale structured data and validates by profiling in a data environment Design and develop ETL patterns/mechanisms to ingest, analyse, validate, normalize and clean data Implement data quality procedures on data sources and preparation to visualize data and synthesize insights for business value Support More ❯

tools like Purview , Collibra, Informatica, or Alation. Strong SQL skills and familiarity with Azure , Microsoft Fabric , or other cloud platforms. Knowledge of UK GDPR, Data Protection Act 2018, and ETL processes. Desirable: Certifications such as DAMA/CDMP. Experience in data remediation, migration, and quality improvement projects. Rewards & Benefits 30 days’ holiday (plus option to buy more). Double-matched More ❯

identify opportunities for improvement and deliver smart, scalable solutions. What youll be doing Supporting and enhancing existing business systems and integrations Designing and developing new software and API integrations (ETL workflows) Troubleshooting application issues and resolving them efficiently Using Microsoft 365 tools (SharePoint, Power Automate, Forms) to streamline processes Collaborating with internal teams and third-party vendors to deliver robust More ❯

building, and deploying Salesforce solutions using Apex, Lightning Web Components, Visualforce, and APIs. Delivering integrations between Salesforce and external systems. Supporting data migration and quality assurance initiatives using modern ETL tools. Working within an agile delivery environment alongside architects, analysts, and delivery managers. Promoting best practices, platform optimisation, and continuous improvement. What they're Looking For: Strong hands-on experience More ❯

tools like Purview , Collibra, Informatica, or Alation. Strong SQL skills and familiarity with Azure , Microsoft Fabric , or other cloud platforms. Knowledge of UK GDPR, Data Protection Act 2018, and ETL processes. Desirable: Certifications such as DAMA/CDMP. Experience in data remediation, migration, and quality improvement projects. Rewards & Benefits 30 days' holiday (plus option to buy more). Double-matched More ❯

with Microsoft Fabric as the preferred option * Experience with modern data warehousing * Strong data modelling skills across relational and NoSQL * Experience with governance, metadata, master data and integration including ETL ELT and API based approaches NO SPONSORSHIP can be offered for this role. if that sounds of interest to you then please apply, or reach out to for more information. More ❯

knowledge of its structure and capabilities SQL - knowledge/experience of writing scripts, queries, DML & DDL PL/SQL - coding experience for stand-alone scripts, procedures, packages and triggers ETL/Data Migration - experience of data migration projects and working with large data sets Data load Utilities - SQL*Loader plus use of Database Links Performance Tuning - code analysis and execution More ❯

Gloucester location - hybrid working when possible Must hold active Enhanced DV Clearance (West) Competitive Salary DOE - 6% bonus, 25 days holiday, clearance bonus Experience in Data Pipelines, ETL processing, Data Integration, Apache, SQL/NoSQL Who Are We? Our client is a trusted and growing supplier to the National Security sector, delivering mission-critical solutions that help keep the nation More ❯