151 to 175 of 824 ETL Jobs in England

patterns, and data quality issues. Collaborate with cross-functional teams to define data needs and deliver insights. Build dashboards and reports using tools like Power BI or Tableau. Support ETL workflows and contribute to data pipeline development. Ensure accuracy and consistency of data throughout transformation. Present findings clearly to both technical and non-technical stakeholders. Play a key role in More ❯

Terraform Familiar with Cloud security, performance optimisation and monitoring tools (Azure Monitor, Log Analytics). Experience in IT service management environments (ITIL). Cross-functional project delivery. Experience with ETL/ELT processes and data modelling. Understanding of data governance, security, and compliance frameworks. Stakeholder Management. What you'll get in return In return, you will be rewarded with ongoing More ❯

data warehouses and ensuring data quality on GCP Strong hands-on experience with BigQuery, Dataproc, Dataform, Composer, Pub/Sub Skilled in PySpark, Python and SQL Solid understanding of ETL/ELT processes Clear communication skills and ability to document processes effectively Desirable Skills: GCP Professional Data Engineer certification Exposure to Agentic AI systems or intelligent/autonomous data workflows More ❯

use cases Architect cloud-native data platforms using tools like Databricks , Airflow , Snowflake , and Spark Collaborate with AI/ML teams to align data processing with model requirements Develop ETL/ELT workflows to support feature engineering, model training, and inference Optimise data workflows for scalability, reliability, and cost-efficiency Ensure security, compliance, and data governance standards (e.g. GDPR , RBAC More ❯

use cases Architect cloud-native data platforms using tools like Databricks , Airflow , Snowflake , and Spark Collaborate with AI/ML teams to align data processing with model requirements Develop ETL/ELT workflows to support feature engineering, model training, and inference Optimise data workflows for scalability, reliability, and cost-efficiency Ensure security, compliance, and data governance standards (e.g. GDPR , RBAC More ❯

degree or higher in a quantitative/technical field (e.g., Computer Science, Statistics, Engineering). 2+ years of experience writing SQL queries. Experience with building and maintaining data artifacts (ETL, data models, queries). Experience with AWS services including S3, Redshift, EMR, Kinesis, and RDS. Experience delivering end-to-end projects independently. Knowledge of distributed systems related to data storage More ❯

proficiency in developing data pipelines including coding and testing for ingesting wrangling transforming and joining data from various sources. About the role The ideal candidate should be adept in ETL tools like Informatica Glue Databricks and DataProc with strong coding skills in Python PySpark and SQL. You will have expertise in data warehousing solutions such as Snowflake BigQuery Lakehouse and More ❯

best practices. Experience with SAP Data Services, SAP HANA, SAP BW, and SAP Analytics Cloud. Experience with SAP cloud platform. Expertise in SAC architecture for data integration. Proficient in ETL, data modelling, and validation. Programming knowledge in Python, SQL, or Java. Strong leadership, communication, and stakeholder management skills. Excellent analytical and problem-solving skills. Ability to adapt in a dynamic More ❯

Fabric or expertise in related technologies such as Power BI, Azure Synapse, Data Factory, Azure Data Lake, Notebooks etc. A solid understanding of data engineering principles, including data modelling, ETL/ELT processes, and data warehousing. Strong communication and stakeholder management skills, with the ability to explain complex technical concepts to non-technical audiences. A proactive, client-focused mindset with More ❯

BI solutions. Strong knowledge of Power BI architecture, data modeling, DAX, and AML. Proficient in designing and optimizing SQL queries, stored procedures, and data warehouses. Hands-on experience with ETL tools and data integration processes. Familiarity with data governance, security, and compliance standards. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. We have an amazing 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 ❯

ll Be Doing: Leading cross-functional teams of architects, engineers, and analysts to design and deliver scalable, modern data solutions Architecting robust cloud-native data platforms using modern RDBMS, ETL/ELT, and streaming tech Engaging stakeholders and owning the technical vision across full project lifecycles Shaping product-led data strategies using Data Mesh, Data Fabric, and event-driven patterns More ❯

design, content, and new learning features through robust A/B testing and statistical significance testing.- Develop and maintain dashboards using Power BI, supported by SQL and Python-based ETL pipelines.- Help shape a centralised Learning Analytics Framework that tracks key KPIs on learner success, engagement, and satisfaction.- Translate complex analysis into accessible insight for stakeholders across product, learning, curriculum 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 ❯

architecture and analytics best practices. Proficiency in SAP Data Services, SAP HANA, SAP BW, Datasphere, and SAP Analytics Cloud. Experience with SAP cloud platform and DSP frameworks. Skills in ETL, data modelling, and data validation. Programming knowledge: Python, SQL, or Java. Hands-on attitude and leadership skills. Excellent communication and stakeholder management skills, especially in English. Strong analytical and problem More ❯

a global team of Data and DevOps Engineers to deliver platform features Collaborate closely with IT functions, especially within Data (Market Data IT, Embedded IT, etc.) Design and oversee ETL processes for large, diverse datasets Experience with CI/CD pipelines using Azure DevOps, GitLab, or similar Knowledge of API development and data onboarding with energy data providers Hands-on More ❯

communicator, able to translate complex data concepts to cross-functional teams Bonus points for experience with: DevOps tools like Docker, Kubernetes, CI/CD Big data tools (Spark, Hadoop), ETL workflows, or high-throughput data streams Genomic data formats and tools Cold and hot storage management, ZFS/RAID systems, or tape storage AI/LLM tools to accelerate data More ❯

communicator, able to translate complex data concepts to cross-functional teams Bonus points for experience with: DevOps tools like Docker, Kubernetes, CI/CD Big data tools (Spark, Hadoop), ETL workflows, or high-throughput data streams Genomic data formats and tools Cold and hot storage management, ZFS/RAID systems, or tape storage AI/LLM tools to accelerate data More ❯

is a big bonus. Proven track record building Power BI dashboards and reports, including data modelling and DAX measures. Familiarity with Python or R for data manipulation and lightweight ETL scripting would be beneficial plus SQL skills for querying both relational and semi‐structured data. Practical knowledge of one or more CPO platform would be helpful, with knowledge of the More ❯

best practices. * Proficiency in SAP Data Services, SAP HANA, SAP BW, and SAP Analytics cloud. * Experience in SAP cloud platform. * Expertise in SAC architecture for data integration. * Skilled in ETL processes, data modelling, and data validation. * Any 1 Programming knowledge: [Python/SQL/Java]. * Hands on and 'can do' attitude * Excellent leadership, communication, and stakeholder management skills. * Good 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. * Any 1 Programming knowledge: [Python/SQL/Java]. * Hands on and 'can do' attitude * Excellent leadership, communication, and stakeholder management skills. * Good More ❯

7+ years of experience as a Data Engineer or in a similar role Experience in managing a team of Data Engineers Experience with Data modelling, Data warehousing, and building ETL pipelines Experience with AWS (S3, EKS, EC2, RDS) or similar cloud services, Snowflake, Fivetran, Airbyte, dbt, Docker, Argo Experience in SQL, Python, and Terraform Experience with building Data pipelines and More ❯

and Terraform to ensure repeatable deployments and high availability. Data Infrastructure & Emissions Modeling Enrich our emissions models by integrating new datasets and optimizing our emissions pipeline. Build and manage ETL workflows using services like AWS Glue or orchestration tools. Collaborate with data scientists and sustainability experts to bring methodological rigor to our models. What Youll Need Core Experience 5+ years More ❯

CI/CD pipelines, Kubernetes, Docker, Terraform, and DevOps methodologies. Solid understanding of reinsurance workflows, ceded/reinsurance accounting, risk modelling, and catastrophe risk management. Experience with data migration, ETL processes, and data warehouse integration for insurance analytics. Strong stakeholder management, consulting, and leadership skills. Skills & Qualifications: Experience with Guidewire Claims Centre (V9 or V10), GOSU programming, and system integrations. More ❯

and Terraform to ensure repeatable deployments and high availability. Data Infrastructure & Emissions Modeling Enrich our emissions models by integrating new datasets and optimizing our emissions pipeline. Build and manage ETL workflows using services like AWS Glue or orchestration tools. Collaborate with data scientists and sustainability experts to bring methodological rigor to our models. What Youll Need Core Experience 5+ years More ❯