176 to 200 of 1,450 ETL Jobs in England

latest advancements in AI for innovative solutions. Lead and mentor project teams in creating comprehensive data and analytics solutions, including defining data sources, building ETL routines, developing algorithms, testing and training models, and documenting models. Oversee customer analytics projects, including segmentation and churn analysis, to drive strategic business insights. Optimize More ❯

BI tools (e.g., Power BI, Tableau, Looker). *Strong analytical and problem-solving skills, with a focus on cloud-based data solutions. *Knowledge of ETL processes and cloud data integration (e.g., AWS Glue, Azure Data Factory). *Excellent communication and teamwork abilities, especially in remote and distributed teams. This is More ❯

practices across our data stack. Key Responsibilities Design and implement automated testing frameworks for data pipelines and transformations Develop and maintain test suites for ETL/ELT processes using GCP services (e.g., BigQuery, Dataflow, Cloud Composer) Conduct root cause analysis and drive resolutions for data quality issues Work closely with More ❯

business requirements. Experience with Big Data technologies, Data Lakes, Data Warehouses, Lakehouses. Proficiency in Databricks and Python, including concurrency and error handling. Experience with ETL tools and data visualization tools. Preferred qualifications, capabilities, and skills Experience with AWS services like Lambdas and Terraform. Knowledge of Java and front-end development. More ❯

pipeline issues Desirable skills: Experience working in government, defence, or highly regulated industries with knowledge of relevant standards. Experience with additional data processing and ETL tools like Apache Kafka, Spark, or Hadoop. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience with monitoring and alerting tools such More ❯

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 More ❯

data manipulation and processing frameworks (e.g., PySpark, Apache Beam). Strong knowledge of databases, including SQL and NoSQL (e.g., PostgreSQL, MongoDB). Familiarity with ETL processes and tools such as Airflow or Luigi. Experience with message brokers (e.g., RabbitMQ, Kafka) for real-time data processing. Experience with data visualisation libraries More ❯

facing delivery role (preferred). Proven experience in designing data architecture and models (Dimensional, ODS, Data Vault). Strong understanding of data warehouse concepts, ETL processes, and cloud-native architectures. Proficient in Agile methodologies (Scrum), with experience using tools like Azure DevOps or JIRA. Familiarity with CI/CD practices More ❯

facing delivery role (preferred). Proven experience in designing data architecture and models (Dimensional, ODS, Data Vault). Strong understanding of data warehouse concepts, ETL processes, and cloud-native architectures. Proficient in Agile methodologies (Scrum), with experience using tools like Azure DevOps or JIRA. Familiarity with CI/CD practices More ❯

facing delivery role (preferred). Proven experience in designing data architecture and models (Dimensional, ODS, Data Vault). Strong understanding of data warehouse concepts, ETL processes, and cloud-native architectures. Proficient in Agile methodologies (Scrum), with experience using tools like Azure DevOps or JIRA. Familiarity with CI/CD practices More ❯

Systems, or a related field. or a combination of education and relevant experience Query languages e.g. SQL, Java, Hive, R Data Management technologies e.g. ETL tools, data integration platforms Proven experience as a Data Architect, Data Engineer (or a related role, with a strong emphasis on data architecture design and More ❯

business-related discipline 2+ years' experience with Power BI, DAX, Power Query 2+ years' experience with Power Automate or Logic Apps Strong data modelling, ETL/ELT, and SQL/database experience Familiarity with the software development lifecycle Excellent Excel and Microsoft Office skills Strong analytical, written, and interpersonal communication More ❯

alerts Support the maintenance of existing automated reporting solutions Conduct basic root cause analysis on operational issues using established frameworks Execute and maintain existing ETL processes Use existing Python scripts to process data and run standard analytical workflows Work with team members to understand and implement business requirements Use established More ❯

areas: Working with raw data, structured, semi-structured and unstructured data. Experience combining large, disconnected datasets, using relevant tools and frameworks. Building and optimizing ETL/ELT data pipelines Experience of source control, Continuous Integration, Delivery and Deployment through CICD Pipelines Knowledge and/or experience with Splunk, Kafka & Grafana More ❯

organizations. Technical Skills Proficient in SQL for data extraction, transformation, and analysis. Familiarity with AWS for building and maintaining data lakes, data warehouses, and ETL/ELT pipelines. Experience with Agile methodologies (Scrum or Kanban) and tools such as JIRA for backlog management and sprint planning. Comfortable interpreting data models More ❯

seamlessly with modern cloud data platforms Design and deliver tailored demos and strategic presentations that showcase business value—leveraging capabilities such as data ingestion, ETL, data modelling, and rich visual analytics (dashboards, reports, alerts) Demonstrate AI-driven features including LLM-powered agents, predictive analytics, and automated workflows to trigger intelligent More ❯

seamlessly with modern cloud data platforms Design and deliver tailored demos and strategic presentations that showcase business value—leveraging capabilities such as data ingestion, ETL, data modelling, and rich visual analytics (dashboards, reports, alerts) Demonstrate AI-driven features including LLM-powered agents, predictive analytics, and automated workflows to trigger intelligent More ❯

seamlessly with modern cloud data platforms Design and deliver tailored demos and strategic presentations that showcase business value—leveraging capabilities such as data ingestion, ETL, data modelling, and rich visual analytics (dashboards, reports, alerts) Demonstrate AI-driven features including LLM-powered agents, predictive analytics, and automated workflows to trigger intelligent More ❯

transformative models using our modern data stack, including GCP, Airflow, dbt, and potentially emerging technologies like real-time streaming platforms Develop and manage reverse ETL processes to seamlessly integrate data with our commercial systems, ensuring operational efficiency Maintain and optimise our Customer Data Platform (CDP, ensuring effective data collection, unification More ❯

datasets. Engineering best practices and standards. Experience with data warehouse software (e.g. Snowflake, Google BigQuery, Amazon Redshift). Experience building and optimising pipelines and ETL/ELT workflows. Working knowledge of data warehouse technologies (Snowflake, BigQuery). Code versioning (Github integration and automation). Experience with scripting languages such as More ❯

from multiple organisational SQL databases and SaaS applications using end-to-end dependency-based data pipelines, to establish an enterprise source of truth. Create ETL and ELT processes using Azure Databricks, ensuring audit-ready financial data pipelines and secure data exchange with Databricks Delta Sharing and SQL Warehouse endpoints. Governance … Functions, Kubernetes. Background in cloud platforms and data architectures, such as Corporate DataLake, Medallion Architecture, Metadata Driven Platform, Event-driven architecture. Proven experience of ETL/ELT, including Lakehouse, Pipeline Design, Batch/Stream processing. Strong working knowledge of programming languages, including Python, SQL, PowerShell, PySpark, Spark SQL. Good working More ❯

Your Responsibilities: Build data infrastructure: Design, develop, and maintain scalable and reliable data pipelines, warehouses, and lakes. Develop ETL/ELT workflows: Extract, transform, and load data from various systems to enable unified, high-quality datasets. Collaborate across teams: Work closely with brokers, technicians, and other stakeholders to understand data … Engineer). Strong experience with SQL, Python, and relational/NoSQL databases (e.g., MongoDB). Familiarity with cloud platforms (preferably Azure). Experience with ETL/ELT frameworks and tools such as dbt. Proficiency in data orchestration tools like Dagster or similar. Understanding of data modelling, warehousing, and architecture best More ❯

Your Responsibilities: Build data infrastructure: Design, develop, and maintain scalable and reliable data pipelines, warehouses, and lakes. Develop ETL/ELT workflows: Extract, transform, and load data from various systems to enable unified, high-quality datasets. Collaborate across teams: Work closely with brokers, technicians, and other stakeholders to understand data … Engineer). Strong experience with SQL, Python, and relational/NoSQL databases (e.g., MongoDB). Familiarity with cloud platforms (preferably Azure). Experience with ETL/ELT frameworks and tools such as dbt. Proficiency in data orchestration tools like Dagster or similar. Understanding of data modelling, warehousing, and architecture best More ❯

Your Responsibilities: Build data infrastructure: Design, develop, and maintain scalable and reliable data pipelines, warehouses, and lakes. Develop ETL/ELT workflows: Extract, transform, and load data from various systems to enable unified, high-quality datasets. Collaborate across teams: Work closely with brokers, technicians, and other stakeholders to understand data … Engineer). Strong experience with SQL, Python, and relational/NoSQL databases (e.g., MongoDB). Familiarity with cloud platforms (preferably Azure). Experience with ETL/ELT frameworks and tools such as dbt. Proficiency in data orchestration tools like Dagster or similar. Understanding of data modelling, warehousing, and architecture best More ❯

Analysis skills in converting business requirements into technical solutions Problem solving techniques, debugging scripts and writing stored procedures Essential Criteria Understanding of Markit EDM and Extract, Transform, and Load (ETL) development concepts Understanding of Markit EDM Matcher, Load and Export, EDM UI Experience creating user interfaces and error validation routines More ❯