1 to 25 of 105 ETL Jobs in Birmingham

Cloud Data Engineer, your responsibilities will include: Working predominantly with Azure Databricks to create data pipelines. Ensuring data quality and implementing ETL (extract, transform, and load) processes to migrate and deploy data across systems. Performing independently and becoming a subject matter expert (SME). Developing innovative data solutions to optimize … ensure data quality and integrity. In our team, we are seeking an experienced Azure Cloud Data Engineer with: Experience in development and administration of ETL processes in Azure cloud environment. Troubleshooting issues, working with and managing third-party vendors, and aiding internal and external customers. Strong problem-solving and troubleshooting More ❯

services. Knowledge of using PySpark in notebooks for data analysis and manipulation. Strong proficiency with SQL and data modelling. Experience with modern ELT/ETL tools within the Microsoft ecosystem. Solid understanding of data lake and lakehouse architectures. Hands-on experience with Power BI for data integration and visualisation. Familiarity More ❯

AWS, or Google Cloud). Hands on experience with Snowflake, dbt, and Azure Data Services (e.g., Data Factory, Synapse, or similar). Experience with ETL/ELT tools, APIs, and integration platforms. Deep knowledge of data modelling, warehousing, and real time analytics. Familiarity with big data technologies principals (e.g., Spark More ❯

systems. Support the adoption and optimisation of MDM tools and processes. 4. ETL Development & Data Processing Develop and maintain ETL processes to extract, transform, and load data from diverse sources. Monitor and troubleshoot data flow and processing issues. 5. Data Governance & Quality Assurance Enforce data governance standards and ensure data … teams to identify root causes and implement effective resolutions. Skills & Experience Strong experience in developing and maintaining enterprise data warehouses. Proficiency in designing and managing ETL processes and integration pipelines. Practical knowledge of master data management principles. Familiarity with both legacy and cloud-based application environments. Attention to detail with More ❯

Power BI. Experience of analysing and diagnosing complex data issues and then explain key findings in clear business language to end users Experience of ETL and SSIS development to read in data and apply data profiling and data validation techniques Designing and building the user facing Power BI reports/ More ❯

this post: Software Development Skills: Strong proficiency in Python for data manipulation, scripting, and automation tasks. Experience in data warehouse methods and techniques, including ETL processes, data modelling and design. Linux: strong experience with Linux command line and scripting. Software development experience with data-processing platforms including experience with Microsoft More ❯

core GCP data services such as BigQuery, Composer, Dataform, Dataproc, and Pub/Sub. Strong programming skills in PySpark, Python, and SQL. Proficiency in ETL processes, data mining, and data storage principles. Experience with BI and data visualisation tools, such as Looker or Power BI. Excellent communication skills, with the More ❯

services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data More ❯

and deliver sustainable solutions. Monitor and troubleshoot data pipeline issues to maintain data integrity and accuracy. Assist in the development, maintenance, and optimization of ETL (Extract, Transform, Load) processes for efficiency and reliability. Project & Improvement: Assist in gathering, documenting, and managing data engineering requirements and workflows. Contribute to the development … quality reviews of designs, prototypes, and other work products to ensure requirements are met. Skills & Experience: Basic understanding of data engineering concepts, such as ETL processes, data pipelines, and data quality management. Hands-on experience with SQL (e.g., writing queries, basic database management). Familiarity with data tools and platforms More ❯

and experience managing servers and virtual environments in Microsoft Azure BI & Data Skills : Experience with other BI platforms (e.g. SAP BusinessObjects, Power BI), SQL, ETL processes, data modelling, and diverse data sources (including SAP HANA). Tableau Tools : Knowledge of Tableau Server Resource Monitoring Tool (RMT) and Content Migration Tool. More ❯

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 More ❯

On a daily basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and More ❯

data analysis, and data migration. Strong knowledge of SQL, NoSQL, cloud-based databases (e.g., AWS Redshift, Snowflake, Google BigQuery, Azure Synapse). Experience in ETL development, data pipeline automation, and data integration strategies. Familiarity with AI-driven analytics Strong understanding of data governance, security, and regulatory compliance. Excellent communication skills More ❯

data analysis, and data migration. Strong knowledge of SQL, NoSQL, cloud-based databases (e.g., AWS Redshift, Snowflake, Google BigQuery, Azure Synapse). Experience in ETL development, data pipeline automation, and data integration strategies. Familiarity with AI-driven analytics Strong understanding of data governance, security, and regulatory compliance. Excellent communication skills More ❯

Proficiency in SQL, DAX, and database management, with hands-on experience in BI tools like Power BI. A solid understanding of data warehousing and ETL processes. Strong analytical skills, attention to detail, and a passion for problem-solving. Excellent communication and collaboration skills to work effectively across teams. What We More ❯

authority forums. Key Skills & Experience: Proven experience in architecting Azure data solutions, particularly in NHS or healthcare settings. Hands-on experience with data integration, ETL/ELT pipelines, and batch/real-time processing. Strong knowledge of data security, governance frameworks, and NHS interoperability standards (FHIR, HL7). Familiarity with More ❯

Data Skills: Proficiency in using analytics tools (e.g., Power BI, SQL, Python) for data transformation, visualization, and predictive modelling. Experience with data integration and ETL processes, and familiarity with project management systems like PRISM or Primavera. Problem Solving & Insight Generation: Strong ability to interpret complex data sets, identify issues, and More ❯

Kingdom 1 month ago Birmingham, England, United Kingdom 1 day ago Dudley, England, United Kingdom 2 weeks ago Datawarehouse ERP Lead (Informatica, Azure Cloud, ETL, SQL, BI) Dudley, England, United Kingdom 2 weeks ago Dudley, England, United Kingdom 1 week ago Birmingham, England, United Kingdom 1 week ago Coleshill, England More ❯

as workshops, demos, and project delivery sessions. Key areas you’ll gain experience in: Programming with Python for data and AI workloads Data pipelines, ETL/ELT processes, and analytics foundations App development techniques to integrate AI capabilities Working in secure, enterprise-ready cloud environments Consulting fundamentals and effective customer More ❯

reporting development (advanced/expert levels only). Key Tools & Technologies Visualization Tools: Tibco Spotfire, Tableau, Power BI, or QlikView Data Management & Querying: SQL, ETL pipelines, Data Warehousing (e.g., ODW) Collaboration & Platforms: SharePoint, clinical trial data platforms Qualifications Entry Level: Bachelor's degree in a technical field (Engineering, Computer Science More ❯

of interviewing at Metro by 2x Get notified about new Master Data Analyst jobs in Birmingham, England, United Kingdom . Data Migration Business Analyst (ETL, SQL) Walsall, England, United Kingdom 1 week ago Warwick, England, United Kingdom 1 day ago Walsall, England, United Kingdom 1 week ago Coventry, England, United More ❯

meet current best practices and internal standards. Work closely with project managers and technical leads to integrate new enterprise data sources into ongoing projects. ETL Development Develop robust, automated ETL (Extract, Transform, Load) pipelines using industry-standard tools and frameworks, prioritizing scalability, reliability, and fault tolerance. Strong background in data … ESRI, 3GIS, Bentley, Hexagon, Crescent Link, CadTel, etc.). Experience with business requirement analysis and the development of reporting and analytics structures. Familiarity with ETL solutions, including experience with SAFE FME, is highly desirable. Strong knowledge of data privacy regulations and practices. Exposure to analytics and reporting tools is considered More ❯

end work, pulling and cleaning data, creating dashboards in Power BI and presenting insights back to stakeholders. YOUR SKILLS AND EXPERIENCE • Advanced SQL skills • ETL experience (Azure Data Factory or SSIS preferred) • Strong data visualisation skills (ideally Power BI) • Proven ability to interpret and communicate data insights • Experience managing workflows More ❯

business/data analyst role, ideally in a consultancy or commercial setting. - Strong analytical, problem-solving, and communication skills. - Experience with operational data processes, ETL, data warehouse migration, schema mapping, and MI/BI reporting. - Proficient in tools such as JIRA, Confluence, Asana, Miro, and Excel. - Familiarity with Agile (SCRUM More ❯

roadmaps, strategies, and architecture. Lead the Business Intelligence and Delivery team, ensuring project excellence. Develop dashboards and reports in Power BI. Build and support ETL/ELT pipelines in Azure. Deliver workshops, stakeholder presentations, and training sessions. Collaborate with DevOps to integrate Power BI into Azure DevOps pipelines. Senior BI More ❯