26 to 50 of 598 ETL Jobs in the UK excluding London

analytics, data apps, AI and data science initiatives. The ideal candidate will have a deep understanding of data warehousing best practices, data modeling techniques, ETL/ELT processes, and cloud-based data platforms. The Data Architect will be a key partner in driving data-driven decisions and future-proofing Jazwares ...

similar - Strong SQL skills - Experience with data warehousing, reporting and data modelling - Knowledge of Qlik, Power BI or another BI platform - Experience with ETL, data integration or scripting - Strong analytical, problem-solving and communication skills - The ability to translate complex data into meaningful business insights Experience within finance, manufacturing ...

power a suite of AI-enabled products and analytics solutions. Specifically, you can expect to be involved in the following: Design and develop scalable ETL and ELT pipelines across operational, analytical, and AI data environments. Build robust SQL and Python-based data solutions for production use. Develop and enhance data ...

and their integration within enterprise analytics platforms. Strong proficiency in Azure Data Factory, Synapse, and cloud data services. Expert‐level skills in data modelling, ETL processes, and semantic layer design. Advanced programming capabilities in SQL (T‐SQL/Spark SQL), Python, and PySpark. Hands‐on experience with Power BI (Desktop ...

scalable data solutions. Technical Expertise Deep expertise with the Databricks platform (Spark/PySpark/Scala, Delta Lake, Unity Catalog, MLflow). Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent. Strong SQL and Python (or equivalent language) skills for data manipulation and automation. Hands ...

insight delivery. Person Specification Knowledge and Experience * Proven experience in data engineering, data platforms and analytics leadership roles. * Strong understanding of data lake architecture, ETL/ELT pipelines, and modern data environments. * Experience of data modelling, structuring and preparing data for reporting and analytics use. * Proven track record of delivering ...

and insight delivery. Person SpecificationKnowledge and Experience Proven experience in data engineering, data platforms and analytics leadership roles. Strong understanding of data lake architecture, ETL/ELT pipelines, and modern data environments. Experience of data modelling, structuring and preparing data for reporting and analytics use. Proven track record of delivering ...

e.g. Cloud, Azure, Databricks), and enterprise data and analytics ecosystems, including medallion architectures, data lakehouse designs, master data systems, legacy data warehouses, data engineering (ETL, ELT, CDC) for enterprise scale analytics) Experience with data product thinking, domain-oriented ownership or federated operating models Understanding of data standards and industry models ...

Initial 6 months + extensions. Job Purpose: The BI Engineer will be responsible for the requirements analysis and design of solutions for data platform, ETL, integration and analysis solutions. Our toolset includes AWS hosted databases (postgres, S3 based data lake, MySQL, Athena), integration services (AWS API gateway, lambda functions), ETL … data warehouses. Collaborate with data visualization and analysts' teams to understand data requirements and translate them into technical specifications. Data Processing: Develop and maintain ETL (Extract, Transform, Load) processes for ingesting data from various sources into the data infrastructure. Optimize data processing and storage for performance and cost-effectiveness. ...

EXPERIENCE The successful Data Engineer will have the following skills and experience: Strong commercial experience with SQL and data modelling. Experience designing and managing ETL or ELT processes. Knowledge of data warehousing concepts and best practices. Familiarity with Azure Data Factory and Snowflake. Experience working with Power BI and ...

experience in data engineering, analytics engineering, or data platform delivery Strong proficiency in SQL, Python, and PySpark is required Experience designing and operating ETL/ELT pipelines, orchestration workflows, data quality checks, and production data products Experience with cloud data platforms, distributed processing, data modelling, and analytics/BI consumption ...

complex environments. Broad understanding of modern data technology domains, including: Cloud data platforms (Azure, AWS, GCP). Data lakes, warehouses and lakehouse architectures. ETL/ELT processes and tooling. Streaming and event‐driven architectures. API‐led integration and data virtualisation. Understanding of data security‐by‐design, privacy, compliance and governance ...

Responsibilities Design scalable, secure, and efficient data architectures Develop data platforms, data lakes/lakehouses, and ETL/ELT solutions Translate business requirements into technical solutions Create data roadmaps aligned to business objectives and regulatory requirements Collaborate with stakeholders across business and technology teams Essential Experience Proven Data Architect experience ...

Responsibilities Design scalable, secure, and efficient data architectures Develop data platforms, data lakes/lakehouses, and ETL/ELT solutions Translate business requirements into technical solutions Create data roadmaps aligned to business objectives and regulatory requirements Collaborate with stakeholders across business and technology teams Essential Experience Proven Data Architect experience ...

delivery of robust, secure, and high-quality data products. Responsibilities Design, develop and maintain scalable cloud-based data solutions Build and optimise ETL and ELT pipelines Support the migration of existing data services into cloud environments Develop and maintain data products that support reporting and analytics Implement CI/ ...

and governance throughout. What You'll Do Lead the full data migration lifecycle: discovery, profiling, mapping, transformation, validation, reconciliation, and cutover Design and build ETL/ELT pipelines using Azure Data Factory, dataops.live, and other cloud-native tools Develop and optimize complex SQL transformations for data ingestion, validation, and reconciliation ...

experience in some or all of the following: Data Governance Data Quality Management Data Migration Metadata Management Master Data Management (MDM) SQL and Python ETL/ELT development Databricks, Snowflake or similar modern data platforms Azure, AWS or GCP Data Warehousing and Data Modelling Stakeholder engagement and requirements gathering Agile ...

more of the following: Google AppSheet Google Apps Script BigQuery Looker Studio Microsoft Power Platform Power BI ServiceNow CMDB Remedy CMDB Python JavaScript ETL and Data Integration tools ITSM & CMDB Knowledge ITIL Foundation or equivalent understanding. Configuration Management processes. Asset Management. Service Mapping. Discovery tools. Data Governance. ServiceNow CMDB experience ...

performance tuning, data modelling, and complex query development. Strong Java development experience, including object-oriented design and enterprise application development. Experience designing and developing ETL/ELT pipelines. Experience working with relational databases such as PostgreSQL, SQL Server, Oracle, or MySQL. Understanding of data warehousing concepts and dimensional modelling. Experience ...

data infrastructure. Technical Expertise Languages: Strong proficiency in SQL and Python. Data Platform: Hands-on experience with Azure Data Lake and Databricks. Data Integration (ETL): Proven capability in building efficient data pipelines using Azure Data Factory (ADF), SSIS, and API integrations. Reporting & Analytics Reporting Tools: Proficiency in PowerBI (or similar ...

tools and techniques (e.g., ER/Studio, Erwin). Strong SQL and database proficiency (SQL Server, Oracle, Snowflake, Databricks). Experience with data integration (ETL/ELT, APIs). Familiarity with cloud data platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka) is a plus. Domain Knowledge Exceptional understanding ...

data modeling tools and techniques (e.g., ER/Studio, Erwin).Strong SQL and database proficiency (SQL Server, Oracle, Snowflake, Databricks).Experience with data integration (ETL/ELT, APIs).Familiarity with cloud data platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka) a plus. Domain Knowledge: Exceptional understanding ...

controls. Deep understanding of analytics architecture, data modelling methodologies, semantic layer design, and approaches for delivering discoverable, governed and reusable data products. Expertise in ETL and ELT frameworks for large-scale batch and near real-time processing, with hands-on experience using orchestration and transformation technologies such as Airflow and ...

Looking For Commercial experience delivering Data Engineering solutions Strong Python and SQL skills, with experience of Java or Scala beneficial Experience building large-scale ETL/ELT and data processing pipelines Hands‐on experience with Apache Spark and distributed data processing technologies Experience designing and operating cloud-native data platforms ...

e.g. Snowflake, Databricks, Redshift).Semantic Layer: Design and implementation for governed reusable data views. Data Governance Tools: Collibra, Alation, Talend or equivalent. Expertise in ETL tools and processes (e.g., Apache NiFi, Talend, Informatica)Security: Data Privacy, Data Protection & Encryption frameworks & governanceEnterprise Architecture Frameworks: TOGAF, Zachman; familiarity with ITIL processes. Additional ...