1 to 25 of 101 ETL Jobs in the UK excluding London with Remote Work Options

RDS (SQL Server) toolsets. Experience with transactional reporting solutions for critical business reporting. Experience with dimensionally modelled databases for analytics use cases. Knowledge of ETL tools and approaches. Hands-on experience with AWS technologies, including Lambda, SQS, Event Bridge, S3 & RDS. Experience with Python for scripting and automating data tasks. more »

RDS (SQL Server) toolsets. Experience with transactional reporting solutions for critical business reporting. Experience with dimensionally modelled databases for analytics use cases. Knowledge of ETL tools and approaches. Hands-on experience with AWS technologies, including Lambda, SQS, Event Bridge, S3 & RDS. Experience with Python for scripting and automating data tasks. more »

engineering solutions. Ensure the implementation, and maintenance of complex data engineering solutions to acquire and prepare data and that it adheres to Best Practice. (Extract, Transform, Load) Contributes towards and ensures the delivery of the creation and maintenance of data pipelines to connect data within and between data stores, applications more »

with key stakeholders across the business to understand how data can be used to improve business performance - Develop and create the data sets, repositories, extract/transform/load routines and validation mechanisms - Establish the integration with all databases and software systems - currently in place is Netsuite as the ERP more »

in front-end visualisation tools - Power BI Experience with Azure Databricks Strong skills in data storytelling and dashboard creation Understanding of backend data processes (ETL, data integration) Experience with SQL, Python, Git Additional skills: Excellent communication and stakeholder management skills Ability to translate complex data into actionable insights. Strong analytical more »

consulting firm. Proficiency in Azure data services such as Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc. Strong understanding of ETL processes, data modeling, and data warehousing principles. Experience with programming languages such as SQL and Python. Familiarity with data visualization tools such as Power BI 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 »

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

with key stakeholders across the business to understand how data can be used to improve business performance - Develop and create the data sets, repositories, extract/transform/load routines and validation mechanisms - Establish the integration with all databases and software systems - currently in place is Netsuite as the ERP more »

working options and a competitive day rate of £250-£400, falling inside IR35 regulations. Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes using AWS, Databricks, Python, Spark, and SQL. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data more »

to 5 years minimum experience working as a Data Engineer, utilising the following technologies, languages, tools and methodologies: - Databricks Python TSQL/T-SQL ETL Test Automation Unit Testing/Mocking Refactoring Agile/Scrum Methodologies Any experience working with the following is an advantage but is NOT essential: - PowerShell more »

Occasionally, being able to lend hands-on support to the team working on and using the following technologies:Data Warehousing, Data Modelling, Database Design, ETL, AWS Redshift, SQL Server, Power BI, Cloud/DevOps AWS, Docker, Terraform, Bitbucket, Bamboo, Team City, Octopus CI/CD deploy pipeline, Agile, pair programming more »

ability to proactively maintain existing and develop new procedures for information provision with One Version of the Truth and the troubleshooting of server and ETL issues; including the ability to allow for integration with other technologies such as powershell, web development and other application developments 5.10Expected to provide training in more »

Strong network and firewall knowledge Strong Information Security and IT security/Cyber controls Deep experience/understanding of all elements of data engineering (extract/transform/load), visualization, analytics, and machine learning Designing, deploying, maintaining, and developing data systems and controls. Benefits This is a fantastic opportunity for more »

experience within the industry Lead Engineering engagement with Actuarial SMEs and Underwriters Mentor Analytics Engineering team members to develop and maintain end-to-end ETL processes Maintain a high level of coding and technical standards across the team Demonstrate a high level of technical capability in Python, SQL, and JSON more »

maintaining data integrity and provenance. * Experience designing and building robust, production ready, scalable data pipelines * Familiarity with optimising strategies, pipeline architectures, data sets and ETL/ELT processes * Have experience of selecting the appropriate tools to deliver the solution * Coding skills, could be C# or Python. For more information get more »

Scotland (Hybrid) - All employees must be eligible to work without sponsorship Salary: £70,000 - £85,000 The Role: Lead the Data team to deliver ETL processes, build and maintain data pipelines, enhance scalability, performance, maintainability, configurability and usability Be involved in the entire life-cycle of the Data Strategy, including 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: Senior more »

Data Warehouse team across the business through appropriate meetings around BAU and projects. Deliver analysis and development of business requirements through the following: Support ETL architecture for overall data migration, data models, data mappings, business logic and data cleansing methods. Designing and scheduling complex SSIS Packages, PowerShell scripts for transferring 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 »

with excellent analytical and problem-solving abilities Expertise using modern data tools (SQL, Python) Snowflake and AWS experience preferred. Good knowledge of Data Warehouses, ETL pipelines Good understanding of Cloud-based environments AWS and/or Azure Good appreciation of the modern software development lifecycle, CI/CD Benefits for 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 »

technologies like Python, Scala, Spark, PySpark or Ab Initio, Glue, Starburst, Snowflake, Redshift, Starburst, Hybrid(on-prem to cloud) for building data pipelines and ETL processes. Experience with data pipeline orchestration tools like Apache Airflow . Knowledge of SQL and ability to write complex queries for data transformation and analysis. more »

technologies like Python, Scala, Spark, PySpark or Ab Initio, Glue, Starburst, Snowflake, Redshift, Starburst, Hybrid(on-prem to cloud) for building data pipelines and ETL processes. Experience with data pipeline orchestration tools like Apache Airflow . Knowledge of SQL and ability to write complex queries for data transformation and analysis. more »