1 to 25 of 334 Permanent ETL Jobs in England

Global 2000 across 34 countries and 5 continents including North America, South America, Europe, Asia, Australia, and Middle East. About the Role: Job Title – ETL Developer Location – London, Paddington, UK Mode of Work – Hybrid (3 Days Onsite Per Week) Type of Hiring – Permanent Job Summary: Seeking a Senior Specialist with … domain to ensure robust data integration and validation Skills Mandatory Skills : ETL Concepts Job Description: Design and implement ETL processes to efficiently extract transform and load data Collaborate with data engineers and analysts to understand data requirements and maintain data integrity Develop and maintain data testing frameworks to validate ETL ...

DevOps best practices, contribute to architectural decisions, and help mentor junior engineers as the team scales. Responsibilities Architect and write production-grade ELT/ETL data pipelines using PySpark and Python within Azure ecosystem. Build custom, reusable data processing frameworks and libraries in Python/Scala to streamline ingestion and ...

Understanding of Direct Lake semantic modelling design considerations (model creation, table choices, and enforcing access rules). Proven experience with ingestion and transformation patterns (ETL/ELT concepts), data modelling, and delivering analytics-ready datasets. Ability to implement approaches that improve delivery reliability: data quality checks, monitoring, and operational feedback ...

Factory and Databricks Experience building dashboards and reports using Power BI or Tableau Solid understanding of data modelling and data structures Experience working with ETL/ELT processes Proficiency in Python or R for data analysis Strong analytical and problem-solving skills Ability to work with stakeholders and translate business ...

ingestion pipelines into appropriate data technologies such as Snowflake from internal systems (policy admin, claims, finance) and external data sources. Build orchestrated ELT/ETL processes using modern tooling and best practice engineering patterns. Implement incremental refresh, schema evolution management, and data validation tests. Ensure data availability aligned to business ...

considerations and enterprise data governance frameworks. As part of your duties, you will be responsible for: Design, build and maintain scalable data pipelines and ETL/ELT processes using modern cloud data engineering practices Develop and optimise data lake and data warehouse architectures on AWS Ensure high standards of data ...

high data quality and reliability across platforms. Must have worked in the telecommunications domain. Key Responsibilities Design, develop, and maintain robust data pipelines and ETL processes Build and optimise data models to support reporting and analytics requirements Develop and enhance dashboards and reports using Power BI Write efficient and scalable ...

high-quality technical solutions, optimise performance and cost, and ensure the data platform is reliable, secure, and well-structured. This includes developing ELT/ETL pipelines using tools such as dbt and Argo Workflows, implementing data quality and governance practices, and leveraging advanced Snowflake features to drive automation and efficiency.Collaboration ...

data architecture Multidimensional modelling (star schema, snowflake, denormalised models, SCD handling) DAX (complex measures and analytical logic) Azure Data Factory/Fabric pipelines (complex ETL processes across relational and non-relational data) Azure ecosystem (Synapse, Data Lakes, Fabric Lakehouse/Warehouse) Full lifecycle delivery of at least one enterprise-scale ...

Kimball, Data Vault) Experience exposing Delta Lakehouse to Power BI or Tableau Skilled in Python, Scala or SQL for data engineering Experience building scalable ETL pipelines (Workflows, Delta Live Tables) Hands-on experience with Azure, AWS or GCP (storage, compute, networking) Knowledge of Databricks security: RBAC, IAM, encryption Excellent analytical ...

high-quality reporting, insight generation, and future AI/ML initiatives across the business. What You'll Do * Build & Maintain Pipelines: Develop ELT/ETL pipelines using dbt, Python, and orchestration tools. * Work with Snowflake: Design and optimise data models, manage performance, and adopt advanced Snowflake features. * Ensure Data Quality ...

fundamentals in data engineering and proven experience delivering solutions within complex environments. Essential Skills and Experience: Strong SQL and data modelling skills Experience with ETL/ELT tools such as Informatica, Talend, Pentaho, AWS Glue, or similar Familiarity with data platforms such as Oracle, Cloudera, or enterprise data warehouses Proficiency ...

partnering closely with product, BI, data science, and business stakeholders Experience required: Strong experience with Microsoft Fabric, Delta Lake, PySpark, Python, SQL, and modern ETL/ELT frameworks, alongside CI/CD practices using Azure DevOps or GitHub Hands-on expertise integrating Azure AI/ML/OpenAI, with knowledge ...

tuning and optimisation. Solid understanding of data ingestion frameworks and modern integration methodologies. Expertise in data architecture and data modelling principles. Proven experience in ETL/ELT processes and pipeline development. Deep knowledge of Azure cloud services within a data engineering context. Experience implementing and managing CI/CD pipelines ...

regression, classification, NLP, forecasting, clustering) 2. Data & Analytics Engineering Alignment Work closely with data engineers to define: Data models and schemas Data quality rules ETL/ELT pipelines Define feature stores, training datasets, and inference pipelines 3. Model Development & Deployment Strategy Guide data scientists on: Model selection and evaluation strategies ...

Data Lead in a modern cloud environment Strong hands-on experience with Azure Data Factory, Data Lakes and Data Warehousing Knowledge of Power BI, ETL processes and integrating enterprise data sources (SAP, Salesforce, production systems) Excellent communication skills - able to engage across departments and translate data requirements into solutions Competent ...

with Azure Data Factory and cloud-based data environments Strong SQL skills for querying, transformation and optimisation Experience building or supporting data pipelines and ETL processes Exposure to data modelling and data warehousing concepts Working knowledge of Power BI or similar BI tools Ability to engage with stakeholders and translate ...

modern lakehouse environment, youll focus on automation, data quality, and performance, helping to drive efficient and scalable data operations. You will: Develop and maintain ETL/ELT pipelines to ingest data from multiple sources into Fabric/GCP Ensure pipelines follow medallion architecture (Bronze/Silver/Gold) standards Monitor ...

end.* Strong background in Lakehouse Architecture, including structured and unstructured data.* Expertise in Spark, PySpark, Delta Lake, and Databricks workflows.* Experience building scalable ETL/ELT pipelines, including Delta Live Tables.* Strong programming skills in Python, Scala, or SQL.* Solid understanding of data modelling (3NF, Kimball, Data Vault).* Experience ...

and maintaining high-performance data pipelines ingesting structured and unstructured datasets from a variety of internal and external sources. Developing ingestion processes including scrapers, ETL pipelines, crawlers, streaming jobs, and services. Cleaning, transforming, and enriching datasets to ensure high quality and usability across analytics and trading use cases. Designing storage ...

Azure Data Factory, Power BI , and Databricks , with Python as the primary coding language . This role requires hands-on experience with database design, ETL development, data integration, and a passion for data quality and governance. 🗓 So, what will your day-to-day look like? Data Best Practices : Ensure best … level designs and work packages and supporting the production of analytical outputs , operational insights and visualisations to be utilised by the investment team. ETL Development : Build and manage high-quality, secure, and governed ETL processes using on-premise and cloud-based data sources. Data Quality & Monitoring: Design data observability and ...

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 ...

collaborative environment where data is seen as a strategic asset and where new ideas are encouraged. The Role • Develop and maintain scalable ELT and ETL pipelines using Azure Data Factory and Databricks. • Build and optimise transformation logic in Databricks using Python, SQL and Spark. • Model datasets across Bronze, Silver and ...

Youll Do Design, build, and maintain scalable data pipelines using Azure services Develop and optimize solutions in Microsoft Fabric (Data Factory, Lakehouse, Warehousing) Implement ETL/ELT processes using tools such as Azure Data Factory Work with large datasets in Azure Synapse Analytics and Azure Data Lake Storage Collaborate with ...

into technical BI solutions. Strong analytical thinking and problem-solving skills. Desirable Skills Experience working with data warehouses or data lake architectures. Knowledge of ETL processes and data integration. Experience with Azure data services or cloud-based BI platforms. Understanding of data governance and best practices in data management. ...