1 to 25 of 462 ETL Jobs in the UK

Ability to think strategically and assess options across short, medium, and long-term timeframes. Experience with data technologies including MS SQL, data warehousing, and ETL processes. Familiarity with microservices architecture, APIs, and integration patterns. Knowledge of DevOps practices and CI/CD pipelines. Understanding of security standards and optimal practices more »

data and BI products and will design and implement Data and Analytics solutions using Agile and equivalent methodologies. Experience and Skills Detailed knowledge of ETL, data warehousing, data modelling and experience dealing with big data Experience of data schema structures, design and how they can be correctly applied to deliver more »

per day (Outside IR35). You must be immediately available. Key Responsibilities: Analyse existing data sources, structures, and formats. Develop data migration strategies and plans. Extract, transform, and load (ETL) data using Aperture - (non-negotiable) Experience in Oracle SQL or previous SQL Developer roles. Ensure data quality and accuracy throughout more »

PP, SD, MM, FI/CO by being a functional consultant. Experience in delivering MDM and Data Migration programs leveraging standard and innovative approaches. ETL experience in recognised enterprise SAP ETL technologies such as SAP Data Services. Migration Cockpit and experience in migrating data to SAP S/4HANA and more »

PP, SD, MM, FI/CO by being a functional consultant. Experience in delivering MDM and Data Migration programs leveraging standard and innovative approaches. ETL experience in recognised enterprise SAP ETL technologies such as SAP Data Services. Migration Cockpit and experience in migrating data to SAP S/4HANA and more »

Rules, TI Processes, and Chores. Strong knowledge of relational databases and SQL. Experience with IBM Planning Analytics Workspace (PAW) and TM1 Web. Familiarity with ETL tools and data integration techniques. Soft Skills : Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and as part more »

Bundles (DAB's) for streamlining the development of complex data and analytics for the Databricks platform. (IaC) Strong understanding of data warehousing concepts and ETL processes. Excellent problem-solving skills and attention to detail. Ability to work independently in a remote setup with minimal supervision. Role details: Job role: Senior more »

Bundles (DAB's) for streamlining the development of complex data and analytics for the Databricks platform. (IaC) Strong understanding of data warehousing concepts and ETL processes. Excellent problem-solving skills and attention to detail. Ability to work independently in a remote setup with minimal supervision. Role details: Job role: Databricks more »

Experience working in the Defence, Nuclear or the Public Sector industries Strong knowledge of database management systems (eg, SQL, NoSQL). Proficiency in Datamodelling, ETL processes, and data warehousing. Experience with cloud data platforms (eg, AWS, Azure, Google Cloud). Familiarity with data governance and compliance standards Excellent problem-solving more »

creation Experience in data profiling/discovery and developing data quality reports/dashboards (ideally in Power BI) Good understanding of databases, data models, ETL processes, data pipelines, APIs and connectors Good understanding of DAMA and DCAM frameworks for industry best practice on Data Management Interview process This will be more »

applications, components and tools according to the technical plans set by the Development Technical Lead. Knowledge and experience required: In-depth working knowledge of ETL/ELT, data warehousing/business intelligence methodologies including dealing with big data, cloud technology and unstructured data Knowledge of star schema structure & design, detailed … Data Factory, Event Hubs, Data Lake, Synapse, Azure SQL server. Detailed knowledge in developing in Databricks and experience in coding with PySpark. Spark SQL ETL coding standards: ensuring that code is standardised, self-documenting and can be reliably tested Knowledge of best practice data encryption techniques and standards This will more »

looking for a BI Developer to join the team and help take ownership of the Data Warehouse. They need someone that is competent with ETL and Data Engineering responsibilities, with the main tools will being both SSIS and Azure Data Factory. They offer flexible working patterns with the current hybrid … a strong benefits list including 26 days holiday, good company pension contribution and free legal insurance. Requirements: SQL Azure Data Factory SSIS Data Warehousing ETL If this is of interest then please apply with an up to date CV or get in touch with Liam Harrison (01174094483/) at iO more »

in a cloud environment (Azure, AWS, GCP) Experience in at least one of: Python (or similar), SQL, PySpark Experience in building data pipeline/ETL/ELT solutions Ability and strong desire to research and learn new technologies and languages Interest in the contemporary data engineering and analytics landscape, the more »

Advanced skills in SQL programming, with the ability to design, optimize, and maintain complex queries and databases. Strong experience in designing, implementing, and managing ETL processes using Azure Data Factory and other relevant tools. Proficiency in building and managing data warehouses using Azure Synapse Analytics and other data warehousing solutions. more »

Azure resources like Data Factory, Databricks, Data Lake, SQL Database, and SQL Data Warehouse. Senior-level experience in data engineering, including designing data models, ETL pipelines, and conducting testing/QA. Experience with Azure DevOps, including best practices in source control, CI/CD, and change control. Why Join Us more »

that provide actionable insights for various business units. Collaborate with stakeholders to gather requirements and translate them into effective data visualizations. Utilize SQL to extract, transform, and load (ETL) data from various sources into Power BI and Azure Synapse. Develop and maintain data models and datasets within Power BI and … years of experience in data analytics and business intelligence, with a strong focus on Power BI. Proficiency in SQL for data extraction, transformation, and loading (ETL). Experience with Azure Synapse Analytics or similar cloud-based data warehousing solutions. Strong understanding of data modeling, data visualization, and dashboard design principles. more »

reliable within the Google Cloud Platform. Effective documentation and communication of solutions to both technical and non-technical stakeholders are essential. Candidate Profile: Extensive ETL/ELT background with experience in developing data pipelines, optimizing queries, and enhancing database performance. Proficient in data modeling and data warehousing. Multiple years of more »

to ensure data is accessible, reliable, and ready for analysis. Key Responsibilities: Data Pipeline Development : Design, build, and maintain data pipelines to ingest, transform, and load data from various sources into AWS data storage solutions. Data Integration : Implement ETL (Extract, Transform, Load) processes using AWS services such as AWS Glue … Java, or Scala. Experience with AWS services including S3, Redshift, Glue, Lambda, and RDS. Strong SQL skills for data manipulation and querying. Familiarity with ETL tools and processes. Understanding of data modeling and database design. Soft Skills : Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Detail-oriented more »

Engineer, develop, and optimize code to ensure business processes support organizational growth. Essential Requirements: Proven track record in designing and building data infrastructure and ETL pipelines. Proficiency in Azure Platform, including Data Lake, Data Factory, Synapse, Logic Apps, and Function Apps etc. SQL Server, including Store Procedures, T-SQL, or more »

seeking Senior Data Engineers to contribute to innovative data projects within a leading financial institution. Key Responsibilities: Data Engineering: Design and implement data models, ETL processes, and data warehousing solutions. Programming: Utilize Python, Java, Scala, or GoLang to build and optimize data pipelines. Distributed Processing: Work with Hadoop, Spark, and more »

appreciation for the big picture while delivering short/mid-term solutions Experience of building data warehouses, enterprise data warehouses or data lakes with ETL pipelines Experience with AWS tools including Glue, Lambda, S3, RDS, is preferred An understanding of CICD concepts including having a working knowledge of GitHub Understanding more »

. Knowledge of SQL and experience with relational databases, as well as NoSQL databases Familiarity with cloud services (preferably GCP ) and understanding of its ETL frameworks. Desired : experience with data pipeline and workflow management (Airflow, Composer). Desired : Familiarity with machine learning algorithms and data science principles is a plus. more »

processes. Develop, optimise, and maintain Power BI Reports, Apps and Dashboards in line with business requirements, supporting continuous improvement. Responsible for the management of ETL processes, including but not limited to, D365 F&O data exports, SQL data transformation and Power BI data model refreshes. Monitor all BI data processes more »

modelling, data mart, and data warehouse development Exposure to Snowflake: building stages, creating schemas and scheduling tasks would be a distinct advantage Understanding of ETL/ELT best practices Exposure in some form of Project Management methodology, existing team work to a version of agile Understanding of Data visualisation principles more »

languages like Python and proficiency in SQL Experience working with cloud platforms (e.g., Azure, GCP) and big data technologies like Spark Working knowledge of ETL and ELT frameworks and tools like dbt Working knowledge of Version Control and CICD pipelines Hiring, developing, and retaining cyber analytics talent Ability to provide more »