276 to 300 of 456 ETL Jobs in England

or reporting—experience within insurance is essential. Key Responsibilities Deliver data solutions and changes that support evolving business requirements. Build and maintain robust, scalable data pipelines using SQL and ETL best practices. Collaborate with stakeholders to analyse, define and implement solutions to complex data challenges. Proactively assess the impact of changes on the broader data model and ensure integrity is … owners and architects to align technical delivery with strategic objectives. Build deep knowledge of internal systems and promote collaboration across teams. Key Skills & Experience: Significant experience with SQL and ETL development. Strong experience with MS SQL Server, T-SQL, Azure Data Factory, Azure Databricks, Python, Data Lake. Strong background in MI or reporting—experience within an MGA or insurance carrier More ❯

or reporting—experience within insurance is essential. Key Responsibilities Deliver data solutions and changes that support evolving business requirements. Build and maintain robust, scalable data pipelines using SQL and ETL best practices. Collaborate with stakeholders to analyse, define and implement solutions to complex data challenges. Proactively assess the impact of changes on the broader data model and ensure integrity is … owners and architects to align technical delivery with strategic objectives. Build deep knowledge of internal systems and promote collaboration across teams. Key Skills & Experience: Significant experience with SQL and ETL development. Strong experience with MS SQL Server, T-SQL, Azure Data Factory, Azure Databricks, Python, Data Lake. Strong background in MI or reporting—experience within an MGA or insurance carrier More ❯

deliver impactful dashboards and reports using Power BI. Provide technical guidance and support, acting as a subject matter expert on Azure data tools and best practices. Develop and maintain ETL processes using SQL, SSIS, and Azure Data Factory. Integrate data from diverse sources including internal databases, APIs, and third-party providers. Monitor and tune performance of data components, ensuring data … to support transparency and maintainability. Required Skills & Experience Bachelor’s degree in Computer Science, Information Systems, or a related technical field. 3+ years of experience in data engineering and ETL development. Advanced proficiency in T-SQL, SSIS, and Azure Data Factory. Strong experience with data modelling, performance tuning, and troubleshooting. Proven ability to lead and manage a small technical team. More ❯

deliver impactful dashboards and reports using Power BI. Provide technical guidance and support, acting as a subject matter expert on Azure data tools and best practices. Develop and maintain ETL processes using SQL, SSIS, and Azure Data Factory. Integrate data from diverse sources including internal databases, APIs, and third-party providers. Monitor and tune performance of data components, ensuring data … to support transparency and maintainability. Required Skills & Experience Bachelor's degree in Computer Science, Information Systems, or a related technical field. 3+ years of experience in data engineering and ETL development. Advanced proficiency in T-SQL, SSIS, and Azure Data Factory. Strong experience with data modelling, performance tuning, and troubleshooting. Proven ability to lead and manage a small technical team. More ❯

the parent company's environment. Key Responsibilities Lead the design and execution of large-scale data migrations from acquired companies into the Azure ecosystem. Own the end-to-end ETL/ELT pipeline strategy , ensuring scalability, resilience, and automation. Partner with business, IT, and integration teams to map legacy enterprise applications (ERP, CRM, HRIS, Finance, industry-specific platforms) into standardized … Purview, Event Hubs, Functions). Strong proficiency in SQL and Python Experience integrating 20+ enterprise systems such as SAP, Oracle, Dynamics 365, Salesforce, Workday, or ServiceNow. Deep understanding of ETL/ELT frameworks, data warehousing, and streaming architectures . Hands-on experience with data governance, compliance, and security (GDPR, HIPAA, SOX). Exceptional ability to communicate with business leaders, architects More ❯

managing databases in Postgres. AI/ML Expertise: Build and deploy Agentic systems, MCP servers/clients, and Retrieval-Augmented Generation (RAG) systems with Large Language Models (LLMs). Extract, transform, and load (ETL) data to build vector databases with embedding models. DevOps and Maintenance: Implement CI/CD pipelines to streamline development workflows in Jenkins. Monitor application performance and More ❯

managing databases in Postgres. AI/ML Expertise: Build and deploy Agentic systems, MCP servers/clients, and Retrieval-Augmented Generation (RAG) systems with Large Language Models (LLMs). Extract, transform, and load (ETL) data to build vector databases with embedding models. DevOps and Maintenance: Implement CI/CD pipelines to streamline development workflows in Jenkins. Monitor application performance and More ❯

We are seeking an experienced Data Engineer with expertise in AWS cloud technologies to design and build ETL pipelines , data warehouses , and data lakes . Key Skills: AWS services like EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB (or equivalent open-source tools). Note: We require candidates who are eligible for SC Clearance or possess a higher level of clearance. More ❯

We are seeking an experienced Data Engineer with expertise in AWS cloud technologies to design and build ETL pipelines , data warehouses , and data lakes . Key Skills: AWS services like EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB (or equivalent open-source tools). Note: We require candidates who are eligible for SC Clearance or possess a higher level of clearance. More ❯

and bridging the gap between data science and data engineering where necessary. As a Data Scientist, you will be experienced with: ML techniques - linear regression, XGBoost, ensemble methods Python ETL pipelines AWS, Azure, or GCP SHAP or LIME tool familiarity Key information: Up to £450 per day Outside IR35 6 months (rolling) Hybrid Weekly - Manchester This is an exciting opportunity More ❯

and bridging the gap between data science and data engineering where necessary. As a Data Scientist, you will be experienced with: ML techniques - linear regression, XGBoost, ensemble methods Python ETL pipelines AWS, Azure, or GCP SHAP or LIME tool familiarity Key information: Up to £450 per day Outside IR35 6 months (rolling) Hybrid Weekly - Manchester This is an exciting opportunity More ❯

and bridging the gap between data science and data engineering where necessary. As a Data Scientist, you will be experienced with: ML techniques - linear regression, XGBoost, ensemble methods Python ETL pipelines AWS, Azure, or GCP SHAP or LIME tool familiarity Key information: Up to £450 per day Outside IR35 6 months (rolling) Hybrid Weekly - Manchester This is an exciting opportunity More ❯

Salesforce experience, both technical and functional. Strong development skills (Apex, LWC, Visualforce, APIs). Experience with finance systems is highly advantageous. Knowledge of data management and integration tools (APIs, ETL, middleware). Strong communication skills and ability to work with different teams. Why Apply? This is a fantastic opportunity to: Be the go-to Salesforce specialist in the business. Work More ❯

transformation, storage, consumption). Hands-on SQL skills for querying, validation, and insight generation. Strong stakeholder management and ability to build trust across technical and business teams. Familiarity with ETL/ELT processes, modern data warehouses, and data reliability concepts . More ❯

Salesforce experience, both technical and functional. Strong development skills (Apex, LWC, Visualforce, APIs). Experience with finance systems is highly advantageous. Knowledge of data management and integration tools (APIs, ETL, middleware). Strong communication skills and ability to work with different teams. Why Apply? This is a fantastic opportunity to: Be the go-to Salesforce specialist in the business. Work More ❯

Salesforce experience, both technical and functional. Strong development skills (Apex, LWC, Visualforce, APIs). Experience with finance systems is highly advantageous. Knowledge of data management and integration tools (APIs, ETL, middleware). Strong communication skills and ability to work with different teams. Why Apply? This is a fantastic opportunity to: Be the go-to Salesforce specialist in the business. Work More ❯

Salesforce experience, both technical and functional. Strong development skills (Apex, LWC, Visualforce, APIs). Experience with finance systems is highly advantageous. Knowledge of data management and integration tools (APIs, ETL, middleware). Strong communication skills and ability to work with different teams. Why Apply? This is a fantastic opportunity to: Be the go-to Salesforce specialist in the business. Work More ❯

ideally within e-commerce, subscription orgs, gaming, or another fast-paced industry Python, Looker, BigQuery Strong SQL skills with experience querying large datasets Hands-on experience with Looker and ETL processes Strong communication skills and commercial acumen — able to turn data into business insight Stakeholder management experience, confident working with non-technical teams Please note - this role cannot offer sponsorship More ❯

ideally within e-commerce, subscription orgs, gaming, or another fast-paced industry Python, Looker, BigQuery Strong SQL skills with experience querying large datasets Hands-on experience with Looker and ETL processes Strong communication skills and commercial acumen — able to turn data into business insight Stakeholder management experience, confident working with non-technical teams Please note - this role cannot offer sponsorship More ❯

is pivotal in shaping the integrations service platform, primarily powered by Mulesoft , and involves collaboration across project delivery, implementation, and continuous improvement. Key Responsibilities Design and develop integration packages, ETL processes, and data workflows using tools like Oracle PL/SQL, Microsoft SSIS, and emerging platforms such as Salesforce and Mulesoft. Collaborate with Data Analysts, Architects, and system owners to More ❯

is pivotal in shaping the integrations service platform, primarily powered by Mulesoft , and involves collaboration across project delivery, implementation, and continuous improvement. Key Responsibilities Design and develop integration packages, ETL processes, and data workflows using tools like Oracle PL/SQL, Microsoft SSIS, and emerging platforms such as Salesforce and Mulesoft. Collaborate with Data Analysts, Architects, and system owners to More ❯

OR Bolton - 1st class career progression & skill up ops - 14% pension - plus more What do I need? - Skills with SQL - MS SQL, SQL Server, Oracle or similar - Experience with ETL, API, ESL or similar - Hands on with coding languages such as Python, Bash or similar - Knowledge of Big Data tech such as Hadoop or simlar - Knowledge in the following areas More ❯

deliver the solution. Experience required: STEM/Computer Science Degree OR sufficient commercial experience Good skills with Python. Use of Pandas is a bonus Experience building Data Pipelines/ETL using Python Experience consuming with REST API services 1 years commercial experience with Python or languages such as JAVA, PHP, Go Communication skills. You must enjoy speaking with Non-tech More ❯

E-Business Suite to Oracle Fusion Cloud. Key systems involved: Oracle Fusion (Finance, Procurement, HR, Payroll), Oracle Recruitment Cloud & Resource Management systems. Responsibilities include data extraction, transformation, and loading (ETL). Data quality assessment and cleansing. Ensuring data aligns with strategy and reconciles post-migration. Supporting the master vendor (not hands-on transformation). Skills and experience needed to be More ❯

E-Business Suite to Oracle Fusion Cloud. Key systems involved: Oracle Fusion (Finance, Procurement, HR, Payroll), Oracle Recruitment Cloud & Resource Management systems. Responsibilities include data extraction, transformation, and loading (ETL). Data quality assessment and cleansing. Ensuring data aligns with strategy and reconciles post-migration. Supporting the master vendor (not hands-on transformation). Skills and experience needed to be More ❯