76 to 100 of 502 ETL Jobs in the UK

be pivotal in integrating and analysing data from Bullhorn, Xero, and other internal systems to track performance, improve operational efficiency, and support revenue growth. Key Responsibilities Data Integration & Management Extract, transform, and load (ETL) data from Bullhorn, Xero, and other sources into BI platforms. Maintain and optimise the data architecture for reliability and scalability. Reporting & Analytics Design and maintain real …/reporting features) and Xero . Proficiency in BI tools such as Power BI , Tableau , or Looker . Solid understanding of SQL for data querying and transformation. Experience with ETL processes and integrating multiple data sources. Strong analytical skills and business acumen, with the ability to translate data into actionable insights. Excellent communication skills, with the ability to present complex More ❯

driven enhancements to boost data accuracy and productivity Requirements: Strong experience with: Azure Databricks, Data Factory, Blob Storage Python/PySpark SQL Server, Parquet, Delta Lake Deep understanding of: ETL/ELT, CDC, stream processing Lakehouse architecture and data warehousing Scalable pipeline design and database optimisation A proactive mindset, strong problem-solving skills, and clear communication If you're an More ❯

pipelines and turning complex datasets into actionable insights for the business. In this role, you will: Develop and maintain a cloud-based data warehouse (BigQuery, GCP) Create and optimise ETL processes (SSIS, Talend, Airflow) Collaborate with BI teams to deliver key performance metrics Ensure data quality, security, and cost-efficient storage What you'll bring: Strong SQL and data modelling More ❯

technologies (Azure, AWS, GCP) and tools like Databricks, Snowflake, Synapse. Shape cloud migration and modernization strategies with a strong focus on DevOps practices. Architect scalable data models and robust ETL/ELT pipelines using industry-standard frameworks. Implement data governance and quality frameworks to ensure data integrity and compliance. Collaborate with clients’ senior leadership to influence data-driven transformation initiatives. More ❯

technologies (Azure, AWS, GCP) and tools like Databricks, Snowflake, Synapse. Shape cloud migration and modernization strategies with a strong focus on DevOps practices. Architect scalable data models and robust ETL/ELT pipelines using industry-standard frameworks. Implement data governance and quality frameworks to ensure data integrity and compliance. Collaborate with clients’ senior leadership to influence data-driven transformation initiatives. More ❯

resolve complex data issues and performance bottlenecks. Key Skills: SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI). Platform LSF, Jira, Platform Support. GIT. Strong expertise in ETL tools: Pentaho, Talend. Experience with data virtualization using Denodo. Proficiency in SAS for data analytics and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands More ❯

the favour by offering unparalleled career progression opportunities along side training courses and certifications. Key Requirements Proven experience with AWS services and tools. Strong knowledge of data modeling and ETL processes. Proficiency in programming languages such as Python or SQL. Excellent problem-solving skills with a proactive approach. Ability to communicate effectively within a team. If you are a skilled More ❯

technologies (Azure, AWS, GCP) and tools like Databricks, Snowflake, Synapse. Shape cloud migration and modernization strategies with a strong focus on DevOps practices. Architect scalable data models and robust ETL/ELT pipelines using industry-standard frameworks. Implement data governance and quality frameworks to ensure data integrity and compliance. Collaborate with clients’ senior leadership to influence data-driven transformation initiatives. More ❯

technologies (Azure, AWS, GCP) and tools like Databricks, Snowflake, Synapse. Shape cloud migration and modernization strategies with a strong focus on DevOps practices. Architect scalable data models and robust ETL/ELT pipelines using industry-standard frameworks. Implement data governance and quality frameworks to ensure data integrity and compliance. Collaborate with clients’ senior leadership to influence data-driven transformation initiatives. More ❯

technologies (Azure, AWS, GCP) and tools like Databricks, Snowflake, Synapse. Shape cloud migration and modernization strategies with a strong focus on DevOps practices. Architect scalable data models and robust ETL/ELT pipelines using industry-standard frameworks. Implement data governance and quality frameworks to ensure data integrity and compliance. Collaborate with clients’ senior leadership to influence data-driven transformation initiatives. More ❯

the favour by offering unparalleled career progression opportunities along side training courses and certifications. Key Requirements Proven experience with AWS services and tools. Strong knowledge of data modeling and ETL processes. Proficiency in programming languages such as Python or SQL. Excellent problem-solving skills with a proactive approach. Ability to communicate effectively within a team. If you are a skilled More ❯

scalable. Create and manage database schemas, tables, stored procedures, indexes, and triggers. Ensuring high availability of databases through clustering, replication, and other techniques. Implement and maintain data pipelines and ETL processes for real-time and batch data ingestion. Monitor database performance and proactively address issues related to tuning and optimization. Ensure data security, privacy, integrity, and compliance with internal and More ❯

scalable. Create and manage database schemas, tables, stored procedures, indexes, and triggers. Ensuring high availability of databases through clustering, replication, and other techniques. Implement and maintain data pipelines and ETL processes for real-time and batch data ingestion. Monitor database performance and proactively address issues related to tuning and optimization. Ensure data security, privacy, integrity, and compliance with internal and More ❯

to trying new things and explore better ways of working. It's a mega opportunity to join and make a difference! You'll be helping to design and manage ETL/ELT pipelines, making sure data flows smoothly and reliably across the business. You'll also get hands-on with tools like Datadog or CloudWatch to monitor performance and keep More ❯

to trying new things and explore better ways of working. It's a mega opportunity to join and make a difference! You'll be helping to design and manage ETL/ELT pipelines, making sure data flows smoothly and reliably across the business. You'll also get hands-on with tools like Datadog or CloudWatch to monitor performance and keep More ❯

complex data issues and performance bottlenecks. Key Skills & Experience: SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI). Platform LSF, Jira, Platform Support. GIT. Strong expertise in ETL tools: Pentaho, Talend. Experience with data virtualization using Denodo. Proficiency in SAS for data analytics and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands More ❯

SAP Data Services, SAP HANA, SAP BW, Datasphere, and SAP Analytics Cloud. Experience in SAP Cloud Platform. Expertise in DSP frameworks and SAC architecture for data integration. Skilled in ETL processes, data modeling, and data validation. Programming knowledge in at least one language: Python/SQL/Java. Hands-on and "can do" attitude. Excellent leadership, communication, and stakeholder management More ❯

Relevant Microsoft certifications in MVC and/or ASP.NET MVC framework. Experience working in agile delivery environments, particularly at scale. Knowledge of SSRS, FetchXML, SSIS, or other reporting and ETL tools. Experience with Razor Pages (Portals) and customer-facing apps. Familiarity with data compliance standards (e.g., GDPR) and security models within MVC. Soft Skills & Traits A confident problem-solver with More ❯

within the acute healthcare sector. Along with advanced technical and analytical skills, experience of designing and delivering large, enterprise-wide relationalmodelling and analytical solutions is critical. Knowledge of SQL, ETL, modelling, data science, andvisualisations platforms is essential. Main duties of the job This is a senior developer role, leading in the development, maintenance, and continued improvement of the Trust data More ❯

Lead the design and execution of scalable data storage solutions, including databases, data warehouses, and data lakes, ensuring efficient handling of large data volumes. Oversee development and optimisation of ETL pipelines for effective data extraction, transformation, and loading from diverse sources. Establish and manage data schemas, models, and dictionaries to promote data governance and ensure consistency across the organisation. Develop … data pipelines. Previous experience managing a team Experience with big data processing frameworks and technologies. Experience with data modelling and designing efficient data structures. Experience with data integration and ETL (Extract, Transform, Load) processes. Experience in data cleansing, validation, and enrichment processes. Strong programming skills in languages such as Python, Java, or Scala. Knowledge of data warehousing concepts and dimensional … modelling. Understanding of data security, privacy, and compliance requirements Proficiency in data integration and ETL tools Strong analytical skills and the ability to understand complex data structures. Capable of identifying data quality issues, troubleshooting problems, and implementing effective solutions. Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such More ❯

tools, ideally on Google Cloud Platform. Hands-on experience with BigQuery and data transformation frameworks such as Dataform or DBT is essential. A strong background in SQL (particularly PostgreSQL), ETL/ELT processes, and working with large datasets is required. Experience integrating and preparing data for business intelligence tools like Tableau is also necessary. Familiarity with CI/CD practices More ❯

migrated data Desirable experience: Azure data certifications Azure Synapse: Synapse-link, on-demand SQL engine, dedicated SQL pool Writing unit tests, git Version control Awareness of reliability patterns in ETL pipelines Use of python in Jupyter notebooks for data processing Azure storage technologies and cost/performance characteristics Power BI, DAX, data flows Techniques and tools for sanitizing data prior More ❯

Key skills: Strong experience with AWS data services (S3, Redshift, Glue, Lambda, Lake Formation, CloudFormation). Proficiency in SQL, Python (Pandas), Spark or Iceberg. Experience with data warehouse design, ETL/ELT, and CI/CD pipelines (GitHub, CodeBuild). Knowledge of infrastructure as code, performance tuning, and data migration. Exposure to DBT, Docker, or Microsoft BI stack is a More ❯

Key skills: Strong experience with AWS data services (S3, Redshift, Glue, Lambda, Lake Formation, CloudFormation). Proficiency in SQL, Python (Pandas), Spark or Iceberg. Experience with data warehouse design, ETL/ELT, and CI/CD pipelines (GitHub, CodeBuild). Knowledge of infrastructure as code, performance tuning, and data migration. Exposure to DBT, Docker, or Microsoft BI stack is a More ❯

AWS, Azure, GCP). Excellent analytical, problem-solving, and communication skills. Ability to work independently in a remote environment and deliver results with minimal supervision. Preferred Qualifications Experience with ETL tools or other integration platforms. Exposure to DevOps, CI/CD pipelines, and version control tools (Git, Bitbucket). Knowledge of enterprise applications such as Salesforce, Workday, SAP, or ServiceNow. More ❯