26 to 50 of 310 ETL Jobs in the UK excluding London

responsible for: Building and managing data pipelines using Azure Synapse, Data Factory, Databricks, or Microsoft Fabric Designing and maintaining data lakes, data warehouses, and ETL/ELT processes Developing scalable data models for reporting in Power BI Work closely with stakeholders to understand the needs of their individual business and ...

responsible for: Building and managing data pipelines using Azure Synapse, Data Factory, Databricks, or Microsoft Fabric Designing and maintaining data lakes, data warehouses, and ETL/ELT processes Developing scalable data models for reporting in Power BI Work closely with stakeholders to understand the needs of their individual business and ...

responsible for: Building and managing data pipelines using Azure Synapse, Data Factory, Databricks, or Microsoft Fabric Designing and maintaining data lakes, data warehouses, and ETL/ELT processes Developing scalable data models for reporting in Power BI Work closely with stakeholders to understand the needs of their individual business and ...

matures Skills & Experience Strong experience in data engineering within a Microsoft ecosystem with hands-on experience with: Azure Data Lake Azure data pipelines/ETL SQL and relational data modelling Comfortable working with high-volume, low-value transaction data Experience integrating multiple systems into a central data platform Ability ...

and Microsoft Fabric. Strong SQL skills for managing large-scale datasets. Experience integrating Microsoft Dynamics 365 data solutions. Knowledge of data modelling, warehousing, and ETL/ELT principles. Familiarity with data governance and security best practices. Proficiency in scripting and automation (PowerShell, Python or similar). Excellent communication and stakeholder ...

stakeholders across the organisation to define metrics and deliver analysis, translating findings into clear, actionable recommendations and compelling data stories. Engineer and manage robust ETL pipelines (including APIs) to integrate diverse data sources, enabling the creation of impactful, real-time reporting solutions. Design and maintain fit-for-purpose data models ...

data pipelines, managing data warehousing, and ensuring high-quality data is available for business decision-making. Responsibilities: Data Pipeline Development: Design, build, and maintain ETL (Extract, Transform, Load) processes to enable efficient data ingestion and transformation. Database Management: Support and optimise SQL databases, ensuring performance, reliability, and data integrity. ...

Skills and Experience Extensive experience in data architecture and data engineering at enterprise scale Cloud data platforms Microsoft Fabric, Snowflake, Azure, Databricks Data integration ETL ELT CDC streaming APIs and messaging Advanced data modelling relational dimensional and NoSQL Data governance, security, RBAC, privacy, and compliance Power BI and modern data ...

secure data pipelines on the Azure platform. Develop and deploy data ingestion processes using Azure Data Factory, Databricks (PySpark), and Azure Synapse Analytics. Optimise ETL/ELT processes to improve performance, reliability and efficiency. Integrate multiple data sources including Azure Data Lake (Gen2), SQL-based systems and APIs. Collaborate with ...

scheduled r-training pipelines. Data Management and Preprocessing: Collect, clean and preprocess large datasets to facilitate analysis and model training. Implement data pipelines and ETL processes to ensure data availability and quality. Software Development: Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control ...

data platforms and analytics architecture across cloud environments, primarily using Microsoft Azure and Microsoft Fabric. Build and optimise end-to-end data pipelines and ETL/ELT processes to support reporting, analytics, and operational use cases. Own data reliability, performance, quality, and availability across core data assets. Data Platforms, Governance ...

with technical concepts and proven ability to collaborate effectively with engineering and data science teams . Experience in designing and delivering scalable data pipelines (ETL/ELT) for batch and streaming data Hands-on experience with product discovery and Agile product development methodologies and frameworks. Expertise in developing product requirements ...

structured, and unstructured data (SQL and NoSQL). Experience integrating large, disparate datasets using modern tools and frameworks. Strong background in building and optimizing ETL/ELT data pipelines . Familiarity with source control and implementing Continuous Integration, Delivery, and Deployment via CI/CD pipelines. Experience supporting and collaborating ...

experience investigating issues and delivering high quality data solutions using Git/GitHub best practices. •Hands on experience in data modelling, data warehousing and ETL processes, with a solid track record of integrating, transforming and orchestrating data from a wide range of internal and external sources. •A proactive, self starting ...

production experience with DBT (mandatory). Advanced SQL and strong Python programming skills. Experience with Git, CI/CD, and DevOps practices. Familiarity with ETL/ELT tools and cloud platforms (AWS, Azure). Knowledge of Snowflake features such as Snowpipe, streams, tasks, and query optimisation. Preferred Qualifications Snowflake certifications ...

OpenAPI), and testing tools (e.g. Postman). Proficiency in SQL and scripting languages such as Python or R . Solid understanding of data modelling, ETL processes , and system integration . Experience working with Azure and Microsoft data tools including Power BI , Azure Foundry , and Fabric . Excellent communication skills and ...

capability, particularly in SQL Experience with at least one programming language such as Python, R, or similar Understanding of data warehousing and reporting architectures (ETL/ELT, star schemas, fact & dimension tables) Experience working with databases and data systems (cloud or on-premise) Interest in automating data and reporting workflows ...

aptitude such as Computer Science, Data Engineering or a related field, is essential Knowledge & Experience: Essential: Some knowledge of data extraction, transformation, and loading (ETL) Introductory experience working with Power BI Advanced Excel skillset Desirable: Familiarity working with APIs, including to retrieve data from external sources, API configuration and data ...

libraries such as pandas, PySpark, numpy, pyodbc or associated would be beneficial Hands-on experience (or academic project experience) using PySpark. An understanding of ETL/ELT processes and/or building data flow pipelines in any technology, and how to structure data for analytical or reporting use. Familiarity with ...

Build and optimise data pipelines , databases and cloud data platforms. Develop AZure Data Factory/Fabric Data Factory pipelines and robust ETL/ELT processes. Work with SQL, APIs, event streams and diverse data formats. Contribute to solutions across data warehouses, lakes, lakehouses and semantic models . Ensure best practice ...

innovation and continuous improvement Technology You'll Work With Cloud & Data Platforms: Azure Synapse, Azure Data Lake, Azure Data Factory Data Modelling & Integration: SQL, ETL tools, data pipelines and orchestration Architecture & Governance: Enterprise data models, data catalogues, metadata management Ways of Working: Agile delivery, architectural documentation, stakeholder workshops What ...

Proven hands-on experience as a Data Engineer or in a similar data-centric role. Strong proficiency in SQL and Python. Solid understanding of ETL/ELT pipelines, data modelling, and data warehousing principles. Experience working with cloud platforms such as AWS, Azure, or GCP. Exposure to modern data tools ...

including: Hands-on experience building and operating cloud-based data platforms in production Strong programming skills (Python, SQL and/or Spark-based frameworks) ETL/ELT pipeline design at scale Experience with modern data orchestration and workflow tools Infrastructure as Code (e.g. Terraform or similar) CI/CD practices ...

Database Engineer - Responsibilities: - Lead the migration of legacy databases and systems to modern, scalable cloud or on-premise data platforms - Design, build, and maintain ETL (Extract, Transform, Load) pipelines for ingesting and processing large datasets from multiple sources - Develop methods to streamline data collection and transformation - Collaborate with IT, operations … Engineer - Skills and Qualifications: - Experience as a Data Engineer, ideally in fast-moving environments - Strong proficiency in SQL and data pipeline development - Experience with ETL frameworks, data modelling, and working with large, complex datasets - Familiarity with cloud platforms, in particular, Azure and modern data tools - Understanding database migration, integration, and ...

shape data architecture, influence technical decisions, and contribute to meaningful, data-driven outcomes. Key Responsibilities Design, develop, and maintain scalable data pipelines to extract, transform, and load (ETL) data into cloud-based data platforms, primarily AWS. Create and manage data models that support efficient storage, retrieval, and analysis of data. … automated builds, deployments, and testing. Skills and Experience Strong experience designing and building data pipelines on cloud platforms, particularly AWS. Excellent proficiency in developing ETL processes and data transformation workflows. Strong SQL skills (postgresql) and advanced Python coding capability (essential). Experience working with AWS services such ...