51 to 75 of 1,287 ETL Jobs in England

shaping the data foundation used for critical decision-making, innovative products, and future-focused services.* Own the design, development, and enhancement of scalable ETL/ELT data pipelines.* Develop data products and data platform components aligned with modern architectural principles.* Structure, integrate, and ensure data quality with a focus ...

foundational data systems that underlie modern AI infrastructure, including vector, NoSQL, and document databases. Develop end-to-end data engineering solutions, including robust ETL/ELT pipelines, API services, and data ingestion frameworks. Design and build the storage and processing layers powering our analytics workloads: data lakes, data warehouses, distributed ...

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 ...

cloud architectures, e.g. a cloud data warehouse, data lake or data platform to enable digital transformation Working with clients on data warehousing, building operational ETL/ELT data pipelines across a number of sources, and constructing relational and dimensional data models Performing maturity assessments across clients’ data capabilities and recommending ...

including performance and development plans Lead recruitment and be the engineering voice in cross-functional planning Data Engineering & Architecture Design and build high-performance ETL/ELT pipelines across operational, analytical, and AI data layers Lead schema design, model validation, scalable partitioning, and metadata-driven SQL frameworks Hands-on ownership ...

with large datasets in a data engineering or similar role. Good understanding of data warehousing concepts, data modelling (Star/Snowflake/3NF), and ETL/ELT pipelines. Experience tuning SQL/PLSQL queries and improving performance of reports and data extracts. Hands‐on experience with at least one cloud ...

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 ...

business stakeholders to make data-driven decisions that shape the future of our company. Key Responsibilities Design, build, and maintain robust, scalable, and reliable ETL/ELT data pipelines . Develop data models and schemas in our data warehouse to support business analytics and reporting needs. Integrate data from ...

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 ...

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 ...

data modeling, semantic layers, KPI standardization) Modern data platforms: Microsoft Fabric (preferred) or Snowflake/equivalent cloud data platforms Data integration patterns, including: APIs ETL/ELT processes Programming and data manipulation (Python, SQL) Proven ability to: Transition organizations from fragmented reporting to standardized data-driven decision making Drive business ...

party APIs, returning complex data from multiple endpoints. Implement processes to retain and refresh this data within business systems.Data Modeling: Using the businesses preferred ETL tools, generate curated datasets from raw input tables. Ensure all datasets have clear, documented lineage and integrated testing to protect against bad data entering datasets ...

APIs, returning complex data from multiple endpoints. Implement processes to retain and refresh this data within business systems. Data Modeling: Using the businesses preferred ETL tools, generate curated datasets from raw input tables. Ensure all datasets have clear, documented lineage and integrated testing to protect against bad data entering datasets ...

certifications in Azure, Power BI, data, or AI architecture. Core Technology Stack Data platform : Azure Data Factory, Databricks, Azure data lake, SQL, dimensional modeling, ETL/ELT, orchestration. AI platform : Azure OpenAI, Azure AI Foundry, Azure AI Search, Copilot Studio, Semantic Kernel, Prompt Flow. Analytics : Power BI, semantic models ...

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 ...

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 ...

leading an organization of 25 or more people in a large, matrixed enterprise. Strong hands-on foundation in SQL, dimensional modeling, and ELT/ETL design, with production experience on a modern cloud data warehouse or lakehouse (for example Snowflake, Databricks, BigQuery, Redshift, or Synapse) and a transformation framework such ...

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. ...

analytics, or related disciplines in a complex, global organisation. Proven delivery of modern cloud‐based data platforms, data lakes or warehouses, integration patterns, ETL/ELT pipelines, semantic models, and analytics solutions. Strong knowledge of the Microsoft data and analytics ecosystem, including Azure data services, SQL, Power BI, and modern ...

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 ...

foundational data systems that underlie modern AI infrastructure, including vector, NoSQL, and document databases. Develop end-to-end data engineering solutions, including robust ETL/ELT pipelines, API services, and data ingestion frameworks. Design and build the storage and processing layers powering our analytics workloads: data lakes, data warehouses, distributed ...

practical, curious and commercially-minded approach to problem-solving. Desirable Experience with machine learning and predictive modelling. Experience with Snowflake. Experience working with ETL/data integration tools, ideally Matillion. Experience with cloud data platforms and modern data stacks Experience working with large-scale video, image or other unstructured datasets. ...

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 ...

Reference Data. Cloud Platforms: Microsoft Azure; AWS; GCP. Modern Data Platforms: Databricks; Microsoft Fabric; PostgreSQL. Data Integration: Azure Data Factory; API-led Integration; Kafka; ETL/ELT; Streaming and Event-Driven Architectures. Architecture & Modelling: TOGAF; DAMA; ArchiMate; Sparx Enterprise Architect. Data Governance: Microsoft Purview; Collibra; Informatica; Security by Design; Data ...