126 to 150 of 749 ETL Jobs in England

e.g., Snowflake or a similar warehousing technology, real-time systems). Experience in AWS cloud services, particularly Lambda, SNS, S3, and EKS, API Gateway Knowledge of data warehouse design, ETL/ELT processes, and big data technologies (e.g., Snowflake, Spark). Familiarity with data governance and compliance frameworks (e.g., GDPR, HIPAA). Strong communication and stakeholder management skills. Analytical mindset More ❯

Advanced proficiency in T-SQL, SQL Server and SSIS, with a proven track record in troubleshooting and optimizing data processes. Strong understanding of data warehousing concepts, data modelling, and ETL/ELT processes. • Experience working within Agile frameworks, including leading stand-ups and sprint planning. Hands-on experience with Azure Devops Excellent problem-solving and analytical skills, with a strong More ❯

and coaching junior engineers, fostering a culture of technical excellence within the team. Data Engineering Expertise: - Deep understanding of data engineering principles and best practices, including data modeling, observable ETL/ELT processes, data warehousing, and data governance. - Proficiency in data manipulation languages (e.g., SQL/DBT) and programming languages relevant to data engineering (e.g., Python). - Experience with a More ❯

data services. This would include but not limited to Azure Synapse Analytics for data warehousing and big data analytics Azure data lake Gen1/Gen2 Azure Data factory for ETL/ELT, hybrid data integration and pipelines Azure Databricks for data processing and analytics Azure CosmosDB, Azure Table Storage and Azure Blob Storage Microsoft Fabric Azure Purview for data governance More ❯

data services. This would include but not limited to Azure Synapse Analytics for data warehousing and big data analytics Azure data lake Gen1/Gen2 Azure Data factory for ETL/ELT, hybrid data integration and pipelines Azure Databricks for data processing and analytics Azure CosmosDB, Azure Table Storage and Azure Blob Storage Microsoft Fabric Azure Purview for data governance More ❯

A proactive, self-starting attitude with a passion for continuous learning and improvement. Experience with geospatial data or tools; QGIS is essential, ArcGIS and FME are desirable. Familiarity with ETL processes and collaboration with data engineering teams is a strong plus. Experience working in agile teams and contributing to iterative delivery cycles. Advanced Excel skills Openness to travel (expenses covered More ❯

engineering, mathematics, or a related technical discipline. - 3+ years of experience as a Data Engineer or in a similar role. - 3+ years of experience with data modeling, data warehousing, ETL/ELT pipelines and BI tools. - Experience with cloud-based big data technology stacks (e.g., Hadoop, Spark, Redshift, S3, EMR, SageMaker, DynamoDB etc.) - Knowledge of data management and data storage More ❯

or Tableau (data manipulation, macros, charts and pivot tables), - Knowledge of data visualization tools such as Quick Sight, Tableau, Power BI or other BI packages - Fluency in SQL and ETL PREFERRED QUALIFICATIONS - Knowledge of data modeling and data pipeline design - Masters degree in Business, Engineering, Statistics, Computer Science, Data Science, Mathematics or related field - Experience with at least one statistical More ❯

Test (SDET) with a strong focus on data automation to join our dynamic team. If you're driven by complex data challenges and thrive in high-performance environments where ETL testing has become second nature, this is the role for you. ?? Important: All applicants must be eligible for SC clearance Why Ten10? At Ten10, were one of the UKs leading … for SC clearance. Development background in Scala , Python , or Java Solid understanding of data engineering practices and data validation techniques. Experience using test automation frameworks for data pipelines and ETL workflows Strong communication and stakeholder management skills. Nice-to-Have: Hands-on experience with Databricks , Apache Spark , and Azure Deequ . Familiarity with Big Data tools and distributed data processing. More ❯

of Databricks, Power BI, and enterprise integration tools. A developed understanding of TOGAF or equivalent enterprise architecture frameworks. Hands-on experience in data warehousing, data lakes, data modelling, and ETL processes. Excellent stakeholder engagement skills with the ability to influence and inspire across all levels. A proactive, forward-thinking mindset with a passion for innovation, sustainability, and continuous improvement. Your More ❯

guidance to key stakeholders. Maintain and optimise reporting outputs, identifying areas for enhancement and automation. Conduct ad-hoc analysis to meet dynamic business needs. Write complex SQL queries to extract and manipulate data across large-scale database environments. Support transformation and change initiatives by providing insights and reporting capabilities that improve data integrity and performance. Lead delivery of advanced analytics … technical concepts clearly and concisely. Strong time management and multi-tasking abilities. Desirable: Familiarity with agile development methodologies and Jira. Experience with Power BI. Understanding of data warehousing and ETL concepts. Experience evaluating external data sources for quality and value. Key Attributes Highly motivated, proactive, and capable of working independently. Organised, efficient, and detail-oriented. Skilled in building collaborative relationships More ❯

Develop and maintain interactive dashboards and reports using Qlik Sense. Collaborate with business units to gather requirements and translate them into technical specifications. Perform data extraction, transformation, and loading (ETL) from various sources. Ensure data accuracy, integrity, and consistency across all reports and dashboards. Analyse large datasets to identify trends, patterns, and actionable insights. Optimise Qlik applications for performance and … 2+ years of experience working with Qlik Sense. Strong SQL skills and experience with relational databases. Proficiency in data visualisation and storytelling with data. Experience with data modelling and ETL processes. Excellent analytical and problem-solving skills. Strong communication, presentation, and collaboration abilities. Preferred Qualifications: Experience with cloud platforms (e.g., AWS, Azure, GCP). Familiarity with other BI tools (e.g. More ❯

Warehouse infrastructure architecture and best practices Practical database design, development, administration knowledge (any RDBMS) Strong understanding of data governance, quality, and privacy (e.g. GDPR compliance) Proficiency in ELT/ETL processes Strong experience in data ingestion, transformation & orchestration technology (ETL tools such as Informatica, Datastage, SSIS, etc ) or open source Meltano, Airbyte, and Airflow Proven experience with DBT (data build More ❯

Design and develop BI solutions using tools like Power BI, SQL, and DAX Collaborate with cross-functional teams to gather requirements and deliver insights Maintain and optimize data models, ETL processes, and reporting systems Ensure data accuracy, integrity, and security across all BI platforms Support ad-hoc data analysis and reporting needs Requirements Proven experience as a BI Developer or … in a similar data-focused role Strong SQL skills and experience with relational databases Proficiency in Power BI (or similar tools) Understanding of data warehousing concepts and ETL processes Excellent problem-solving and communication skills Nice to Have Experience with cloud platforms (e.g., Azure, AWS) Knowledge of Python or R for data analysis Familiarity with Agile methodologies What We Offer More ❯

ensuring data accuracy and availability for reporting and analysis. Support the rollout of an Azure-based data lake, working alongside external partners and internal stakeholders. Design and implement scalable ETL packages using Microsoft tools such as SSIS and SSRS. Produce and enhance interactive reports and dashboards, facilitating clear communication of insights to non-technical users. Assist in training end users … for data tools and systems. Participate in peak reporting cycles and ad hoc data requests as needed. Key Requirements of the Data Engineer: Strong expertise in SQL, SSIS for ETL pipeline creation, and SSRS for report development. Experience with Power BI for data visualisation. Familiarity with Azure data services such as Data Lake, Data Factory, and Synapse Analytics is an More ❯

well-established knowledge-sharing community. What you'll do Design and implement data solutions using Snowflake across cloud platforms (Azure and AWS) Build and maintain scalable data pipelines and ETL processes Optimise data models, storage, and performance for analytics and reporting Ensure data integrity, security, and best practice compliance Serve as a subject matter expert in Snowflake engineering efforts within … you'll need Proven experience designing and delivering enterprise-scale data warehouse solutions using Snowflake In-depth understanding of Snowflake architecture, performance optimisation, and best practices Strong experience in ETL development, data modelling, and data integration Proficient in SQL, Python, and/or Java for data processing Hands-on experience with Azure and AWS cloud environments Familiarity with Agile methodologies More ❯

Key Responsibilities 🔹 Build & Develop – Design and maintain a robust Databricks Data Platform, ensuring performance, scalability, and availability. 🔹 Data Pipelines – Connect APIs, databases, and data streams to the platform, implementing ETL/ELT processes. 🔹 Data Integrity – Embed quality measures, monitoring, and alerting mechanisms. 🔹 CI/CD & Automation – Create deployment pipelines and automate workflows. 🔹 Collaboration – Work with stakeholders across Global IT, Data … hands-on experience with Databricks , and Microsoft Azure data tools (must-have: Azure Data Factory, Azure Synapse, or Azure SQL). ✅ Dimensional modelling expertise for analytics use cases. ✅ Strong ETL/ELT development skills. ✅ Python scripting experience for data automation. ✅ Experience with CI/CD methodologies for data platforms. ✅ Knowledge of MS SQL Server, SSIS, Visual Studio, and SSDT projects More ❯

Key Responsibilities 🔹 Build & Develop – Design and maintain a robust Databricks Data Platform, ensuring performance, scalability, and availability. 🔹 Data Pipelines – Connect APIs, databases, and data streams to the platform, implementing ETL/ELT processes. 🔹 Data Integrity – Embed quality measures, monitoring, and alerting mechanisms. 🔹 CI/CD & Automation – Create deployment pipelines and automate workflows. 🔹 Collaboration – Work with stakeholders across Global IT, Data … hands-on experience with Databricks , and Microsoft Azure data tools (must-have: Azure Data Factory, Azure Synapse, or Azure SQL). ✅ Dimensional modelling expertise for analytics use cases. ✅ Strong ETL/ELT development skills. ✅ Python scripting experience for data automation. ✅ Experience with CI/CD methodologies for data platforms. ✅ Knowledge of MS SQL Server, SSIS, Visual Studio, and SSDT projects More ❯

Be Doing: Designing intuitive dashboards, reports, and visualisations to help teams quickly understand key trends and performance metrics Building and maintaining data models to support accurate, insightful analysis Managing ETL processes from multiple data sources Collaborating with a range of stakeholders to gather requirements and deliver tailored BI solutions Supporting training and user adoption for BI tools across the organisation … re Looking For: Proven experience as a BI Developer Strong skills in Power BI (DAX) , SSRS , and SQL Experience working in Azure reporting or data warehouse environments Knowledge of ETL processes (Alteryx experience a plus) Excellent communication skills—able to work with both technical teams and non-technical stakeholders A problem-solving mindset, attention to detail, and a collaborative approach More ❯

into technical solutions. A very strong command of SQL, both Athena and MSSQL A good understanding of methods for data manipulation, analysis, and automation tasks. Experience with Microsoft SSIS ETL pipelines. Experience with AWS tools such as S3, Glue, Redshift, Lambda, and Athena for building scalable data pipelines and architectures. Experience in developing dashboards and reports using MicroStrategy and\or … Amazon QuickSight or similar. Strong analytical skills to troubleshoot data issues and derive actionable insights from complex datasets. Skilled in designing data models and implementing ETL workflows to ensure data quality and readiness for analysis. Ability to create intuitive and interactive dashboards that effectively communicate insights to stakeholders. Knowledgeable in data governance practices, ensuring compliance with data privacy regulations and More ❯

clean data from multiple sources Building conceptual and physical data models to support reporting and analysis Championing data governance and implementing controls to ensure quality and compliance Developing automated ETL solutions using Microsoft Azure tools Leading best practice in engineering standards, code quality, and peer review Supporting teams through training sessions and knowledge sharing Main Skills Needed: Proven experience in More ❯

SSIS, SSAS, SSRS, and PowerBI). Proficiency in languages such as Python and SQL, commonly used in Azure data processing. Use of Azure Data Factory for designing and managing ETL workflows. Experience with Microsoft Azure, including deploying and managing data solutions in Azure. Use of Azure Logic Apps for workflow orchestration. Ideally experience of Integration of data from external sources More ❯

SSIS, SSAS, SSRS, and PowerBI). Proficiency in languages such as Python and SQL, commonly used in Azure data processing. Use of Azure Data Factory for designing and managing ETL workflows. Experience with Microsoft Azure, including deploying and managing data solutions in Azure. Use of Azure Logic Apps for workflow orchestration. Ideally experience of Integration of data from external sources More ❯

SSIS, SSAS, SSRS, and PowerBI). Proficiency in languages such as Python and SQL, commonly used in Azure data processing. Use of Azure Data Factory for designing and managing ETL workflows. Experience with Microsoft Azure, including deploying and managing data solutions in Azure. Use of Azure Logic Apps for workflow orchestration. Ideally experience of Integration of data from external sources More ❯

build and maintain scalable and secure data pipelines on the Azure platform. Develop and deploy data ingestion processes using Azure Data Factory, Databricks (PySpark), and Azure Synapse Analytics. Optimise ETL/ELT processes to improve performance, reliability and efficiency. Integrate multiple data sources including Azure Data Lake (Gen2), SQL-based systems and APIs. Collaborate with Data Architects, Analysts, and stakeholders More ❯