201 to 225 of 1,284 ETL Jobs in England

into technical solutions Highly desirable: Google AppSheet Google Apps Script BigQuery Looker Studio ServiceNow CMDB Remedy CMDB Microsoft Power Platform Power BI Python JavaScript ETL/data integration technologies ITIL Foundation or equivalent If you're a developer who understands CMDB, data, automation and reporting, and want to take ownership ...

core technical owner of the data platform, ensuring reliable, high-quality data from ingestion to production use cases Build and maintain robust ETL/ELT pipelines and the infrastructure behind them Partner closely with Data Science, Engineering and Product to improve performance, scalability and operational reliability Help shape best practices ...

and Python skills, with practical experience using both for data engineering and transformation. Significant experience designing, build and supporting production data pipelines using modern ETL/ELT practices. Experience working with modern cloud data platforms and orchestration technologies. Experience within the Microsoft data ecosystem would be advantageous. Experience with modern ...

Python, Spark and SQL for data processing and transformation Experience with Databricks in a production or near-production environment Practical experience building and maintaining ETL/ELT pipelines in a cloud environment Working knowledge of data modelling concepts including star schema and dimensional modelling Please see full job description attached. ...

including pivot tables, charts, and complex formulas Experience with SQL for querying and manipulating large datasets Knowledge of data integration tools (e.g., Power Automate, ETL processes) Strong communication skills, with the ability to present complex data clearly to non-technical audiences A proactive, curious approach to problem-solving and ...

Skills And Competencies 3+ years of experience within a data engineering or software development team Hands-on experience designing and developing data integration/ETL pipelines from diverse data sources and formats Hands-on experience with Apache Airflow, dbt, and Python Strong database skills with Postgres SQL, DynamoDB, Snowflake, and ...

similar technologies. Depending on your background and experience, you could take on the role of: BI Developer Data Engineer Data Scientist Machine learning Engineer ETL/Data Warehouse Engineer Whatever your experience, we can help you progress from where you left off, whether at mid, senior or lead consultant level. ...

record leading data engineering delivery within a Microsoft-first environment - Azure Data Factory, Databricks, Synapse, Azure Data Lake Hands-on experience building and managing ETL/ELT pipelines, data lakes and data warehouses in a cloud environment Proficient in Python and SQL, familiarity with Scala or R advantageous Experience with ...

engineering. Strong hands-on capability with SQL and Python. Experience with Snowflake or another modern cloud data platform. Experience designing and developing ELT and ETL pipelines in production. A good understanding of analytical and dimensional data modelling. Experience with dbt or comparable modern transformation tooling. Familiarity with Git, CI/ ...

QualificationsTechnical Expectations: Proficient in Python, with experience in automation and building data pipelines. Strong expertise in working with tools like DBT and Airflow for ETL processes. Skilled in using REST APIs to develop and manage data integrations. Proficient in SQL and familiar with data visualization tools such as Looker, Superset ...

What You’ll Do You will contribute across the full analytics lifecycle, with increasing ownership as you develop: Design data workflows spanning data collection, ETL, analysis, visualisation, and delivery across structured and semi-structured datasets Apply advanced analytical techniques to identify patterns of fraud, corruption, misconduct, and financial crime Implement ...

experience of metadata analysis, fields/entity, and data lineage, sql/no sql databases Experience with one of Azure/AWS/GCP ETL tools like Informatica, Alteryx and Business Glossary tools like Collibra, Azure Purview or Apache Atlas. TDD/BDD, Experience working in an Agile development environment ...

capabilities. Desirable AWS Tools & Technologies experience: Amazon SageMaker - ML development, training, deployment & MLOps Amazon S3 - Scalable data storage & data lakes AWS Glue - Data integration, ETL & preparation Amazon Redshift & Athena - Data warehousing & serverless analytics Amazon EMR - Big data processing & Spark Amazon Bedrock - Generative AI & foundation models AWS Lambda - Serverless data ...

and bringing clarity to ambiguous or complex problems Skills & Experience Essential Strong experience designing, building and operating scalable production data pipelines Strong understanding of ETL and ELT architectures and patterns Strong programming and data transformation skills, particularly using technologies such as Python, Spark and SQL Experience working with cloud-based ...

Data Engineer, you'll bring: Substantial hands-on data engineering experience across integration, data modelling and data warehousing, with excellent SQL skills. Experience with ETL/ELT tools (e.g. Talend, Azure Data Factory, dbt) and database platforms (e.g. MS SQL Server, Snowflake, Azure SQL Database), including developing integration solutions using ...

excellent communication skills across all channels and levels of recipients including team members, colleagues, clients at all levels including C suite. Experienced hands-on ETL, Snowflake, CI/CD Pipelines, SQL, Data Quality rules and Data-Readiness design and implementation of data platforms Experience in designing and implementing relational data ...

2+ years as a Data Engineer working on data platforms, ideally in product-led or high-growth environments. Technical Skills: Experience building and operating ETL/ELT pipelines. Hands-on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache ...

monolithic SQL Server database: extracting into the lakehouse and parallel data stores, introducing retention policies, and migrating to modern SQL frameworks. Write and optimise ETL processes and contribute to data modelling for both internal analytics and external‐facing data products. Take work from ambiguous problem statements through design, build and ...

data policies. Technical & Business Skills: Data Architect: Expert proficiency in cloud data platforms (e.g. Snowflake, AWS, Azure). Deep expertise in data integration patterns (ETL/ELT, API‐led connectivity). Strong capability to design distributed, highly available, and secure data pipelines. Information Architect: Deep expertise in metadata management, master ...

similar automation platforms. BI/Semantic Platforms: Experience with Looker, Thoughtspot, or similar. Industry Context: Experience in Payments, FinTech, Banking, or Cryptocurrency. Reverse ETL: Familiarity with moving data from the warehouse back into SaaS tools. So, what’s in it for you? Our people are constantly striving ...

such as R or Python) Bonus skills & attributes Experience with BI/Visualization tools like Tableau, Superset and Looker Experience with data modeling and ETL pipelines Experience working with product teams Experience leveraging AI tools to boost efficiency and creativity across the data science workflow — from ideation and coding ...

Skills Advanced Expertise in BI tools (e.g., Domo, Sigma, Looker). Cloud Expertise: Strong proficiency in cloud data platforms (Snowflake). Expertise in SQL, ETL/ELT pipelines, data warehousing. Architectural Knowledge: Proficiency in designing for performance, scalability, and security. Software Development Knowledge: Understanding of SDLC, Agile methodologies, and DevOps ...

Financial Services & Insurance experience. Domain & Technical Expertise Data & AI Architecture Fluency: Deep understanding of modern data stacks (Data Lakehouses, Data Mesh, Real-time Streaming, ETL/ELT pipelines) and AI/ML lifecycle management (MLOps, GenAI integration, Model Governance). Ability to challenge architectural patterns and supervise technical teams without ...

maintain end-to-end data pipelines using Palantir Foundry (Pipeline Builder, Code Repositories, Data Lineage, Ontology, Workshop, Quiver). Implementing batch, incremental + streaming ETL/ELT workflows with reusable, production ready components. Data modelling, schema design, build data products, semantic layers, metadata management + governance. Designing + maintaining Foundry ...

reports and dashboards to monitor the performance of connected store network operations, including media and sales performance reports. Data Management: Establish and maintain appropriate ETL (Extract, Transform, Load) processes to integrate data from various internal and external sources. Ensure the accuracy, consistency, and reliability of data by implementing rigorous data … pipelines to facilitate efficient data flow and processing. Manage and organise large datasets to support business intelligence reporting and analysis. Continuously monitor and refine ETL processes to adapt to changing data sources and business requirements. Collaborate with data engineers and other stakeholders to ensure seamless data integration and accessibility. ...