226 to 250 of 650 ETL Jobs in England

that combines technical skill with business insight. In your first year, you'll be trained to: Write and optimise SQL queries to transform and manage data Build and maintain ETL pipelines and data models Create impactful dashboards and reports to solve real-world problems Understand how law firms operate and how to tailor our platform to their needs Collaborate with More ❯

business. Product specific knowledge: familiarity and experience within retail platforms, third party recordkeepers, and client services model would be beneficial. AWS: Experience with AWS (particularly Athena, S3 and glue ETL) again preferable but an understanding of cloud computing infrastructure and capabilities a big plus. Agileways of working: understanding of Agile tools (specifically JIRA) and ways of working (specifically Kanban). More ❯

cloud architecture, with experience managing expectations balancing business and financial constraints. Working knowledge of database technologies such as MS SQL and Oracle. Experience leading and developing an Informatica-based ETL architecture. End-to-end design experience, including integration with services like Appian, Azure APIM, and Adobe Experience Manager. A proven track record of successful implementations delivering measurable business outcomes. Ability More ❯

the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languageseg.Python, R, Scala, etc.(Python preferred) Strong proficiency in database technologieseg.SQL, ETL, No-SQL, DW, and Big Data technologieseg.pySpark, Hive, etc. Experienced working with structured and also unstructured dataeg.Text, PDFs, jpgs, call recordings, video,etc. Knowledge of machine learning modelling techniquesand how More ❯

in Big Data Java development. In-depth knowledge of Big Data frameworks, such as Hadoop, Spark, and Kafka, with a strong emphasis on Java development. Proficiency in data modeling, ETL processes, and data warehousing concepts. Experience with data processing languages like Scala, Python, or SQL. Familiarity with containerization technologies (Docker) and orchestration tools (Kubernetes). Strong knowledge of software development More ❯

or enterprise marketing technology 3+ years directly working with Adobe RTCDP or equivalent CDPs Strong experience with data cleansing, structuring, modeling, identity resolution, and segmentation logic Demonstrated expertise in ETL workflows, APIs, and real-time data syncs Demonstrated familiarity with the Adobe Suite (e.g., Adobe Analytics, Adobe Launch, Adobe Marketo, Adobe Target) Familiarity with JavaScript, SQL, JSON, and cloud environments More ❯

of low-code applications using the Microsoft Power Platform Enhancing efficiency through automation solutions Driving AI strategy development Overseeing system enhancements and API integrations Managing data engineering processes, including ETL/ELT pipelines with Azure Data Factory Leading the development of Snowflake Data Warehouse Managing and leading Data Engineers and Developers Handling IT projects Candidate requirements: Experience with Microsoft Power More ❯

looking for: Proven experience in data engineering at a senior level Strong hands-on knowledge of Databricks Experience with Azure or AWS cloud platforms Expertise in data warehousing and ETL processes Ability to work both independently and as part of a collaborative team Why join us? £60,000 salary Flexible hybrid working (2 days a week in our Leeds office More ❯

and implementation of low-code applications across the Microsoft Power Platform - Improving efficiency through automating solutions - Driving AI strategy - Oversee system enhancements and API integrations - Oversee data engineering process - ETL/ELT pipelines with Azure Data Factory - Drive development of Snowflake Data Warehouse - Team management and leading Data Engineers/Developers - Digital roadmap development - IT projects To be considered suitable More ❯

databases and a broad understand across data, including storage, access and governance. You will probably have experience across the following: SQL database systems Optimising SQL queries Data warehousing & pipelines ETL Data security Python Azure and related tools such as PowerBI, Fabric, Data Lake, Data Factory An interest in AI/machine learning would also be beneficial. The company operate a More ❯

databases and a broad understand across data, including storage, access and governance. You will probably have experience across the following: SQL database systems Optimising SQL queries Data warehousing & pipelines ETL Data security Python Azure and related tools such as PowerBI, Fabric, Data Lake, Data Factory An interest in AI/machine learning would also be beneficial. The company operate a More ❯

databases and a broad understand across data, including storage, access and governance. You will probably have experience across the following: SQL database systems Optimising SQL queries Data warehousing & pipelines ETL Data security Python Azure and related tools such as PowerBI, Fabric, Data Lake, Data Factory An interest in AI/machine learning would also be beneficial. The company operate a More ❯

and ERP connectivity, including mapping tools (e.g., XSLT for XML). Proficiency in tools like Postman, Azure Logic Apps, and scripting (e.g., C#, PowerShell) for API orchestration, along with ETL processes. Knowledge of data mapping, XML/CSV/JSON formats, and handling large transaction volumes with retries, idempotency, and throttling. Expertise in Azure integration services (e.g., Service Bus, Event More ❯

IT and Business Intelligence experience Experience with Tableau, dashboard design and delivery Hands on experience querying MS-SQL and Google Big Query databases Understanding of development, data modeling and ETL knowledge that includes Data warehouse Excellent problem solving, design, debugging, and testing skills Ability to work with multiple different personality types while managing workload within a fast paced, energetic, and More ❯

AWS Databases: Elasticsearch & Postgres And more... This role offers exciting opportunities to dive into various areas, including Natural Language Processing, Random Forest and Monte Carlo Simulations, Classification, Big Data ETL Pipelines, High Volume Event Processing, Predictive Analysis, CI/CD Cloud Ops, Mentoring, UX Design, Data Visualization, and Build Management Systems . This is a brilliant opportunity to join a More ❯

the future of their data platform. As part of this role, you will be responsible for some of the following areas: Develop and maintain robust, scalable data pipelines and ETL workflows within Google Cloud Platform (GCP) Take ownership of a major cloud migration initiative from Azure to GCP, ensuring smooth data integration and minimal disruption Partner with data scientists, analysts More ❯

the future of their data platform. As part of this role, you will be responsible for some of the following areas: Develop and maintain robust, scalable data pipelines and ETL workflows within Google Cloud Platform (GCP) Take ownership of a major cloud migration initiative from Azure to GCP, ensuring smooth data integration and minimal disruption Partner with data scientists, analysts More ❯

development and deployment Evaluate and adopt new data technologies Collaborate with scientists, researchers, and operational teams Qualifications & Experience: Extensive Python programming experience in enterprise environments Knowledge of data modeling, ETL, data warehousing, and SQL Cloud computing experience Strong communication skills Innovative mindset and ability to solve challenges creatively Ability to work in a fast-paced, startup-like environment Nice to More ❯

Business Insight : Strong critical thinking and a proactive approach to solving complex technical and business challenges. Preferred Qualifications : Salesforce certifications are a plus, along with experience in data platforms, ETL pipelines, SQL, and BI tools. More ❯

SnapLogic platform, ensuring quality, stability, and performance across various projects. Key Responsibilities Design and execute manual test cases for SnapLogic pipelines and integrations. Validate data transformations, API integrations, and ETL workflows. Collaborate with developers, business analysts, and integration architects to understand functional and non-functional requirements. Identify, document, and track bugs through to resolution. Maintain test documentation, including test cases More ❯

development. Initially, your focus will be on a critical green/brownfield migration project, taking full ownership of the data platform, including the core data warehouse and all associated ETL/ELT processes. This is a highly hands-on role where you'll contribute to architectural design, strategic roadmap development, and data engineering tasks. Longer-term, you'll establish DevOps More ❯

and upskill the function Leading and executing a data platform migration into Google Cloud Platform (GCP) -initially in partnership with a consultancy Owning all aspects of the data warehouse, ETL/ELT, and platform infrastructure (DevOps, FinOps) Driving forward best practices in data governance, access control, and architecture Collaborating cross-functionally with pricing, analytics, IT, and commercial teams Helping shape More ❯

Understanding of performance optimization techniques and experience building resilient systems with strict latency requirements, streaming data architectures and event-driven systems Data Engineering : Solid grasp of data pipeline design, ETL processes, and schema design for both transactional and analytical workloads Version Control & CI/CD : Proficiency with Git and modern deployment practices Benefits Salary depending on experience. Annual discretionary performance More ❯

optimisation and continuous learning. Ability to adapt solutions for multimedia data workflows. Nice to Have Experience with Kubernetes (k8s). Knowledge of machine learning or AI concepts. Familiarity with ETL tools or big data frameworks. Familiarity with cloud platforms (e.g., AWS, GCP, Azure). About You Innovative Like challenges Adaptable Calm under pressure Strong communication abilities More ❯

Python coding skills combined with a thorough understanding of software engineering best practices You have an indepth understanding of data engineering principles and best practices, including data modelling, observable ETL/ELT processes, data warehousing and data governance You have experience with AWS and tools such as Snowflake You're collaborative and pragmatic with excellent communication skills What's in More ❯