1 to 25 of 36 Contract ETL Jobs in the UK

Databricks best practices. - Maintain data integrity, security, and compliance with regulations like GDPR. - Manage data migration from legacy analytics data warehouses, data lakes, and ETL tools to Databricks within set deadlines. - Comfortable operating in all project phases, adjusting requirements, and supporting the transition from build and migration to production. - Serve 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 »

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 »

management of an Azure cloud-based data & analytics platform. Comprehensive experience in the complete data pipeline development process, encompassing data warehousing, data analytics, and ETL processes. Profound understanding of best practices in data governance, privacy, and quality. Exceptional skills in communication, leadership, and team management. Capability to handle multiple tasks more »

Experience with Real Time data analysis and financial systems (preferred). Knowledge of database design principles, performance optimization, and Datamodelling. Familiarity with data integration, ETL processes, and data warehousing. Excellent problem-solving skills and the ability to work effectively in a fast-paced environment. Strong communication and teamwork skills. A 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 »

the company. You will be part of developing and creating the data sets needed for BI and analytics including, where needed, the data repositories, Extract/Transform/Load routines and validation mechanisms needed to underpin reporting and analysis. You will be establishing the integration with other databases and systems more »

strategy constraints. Essential Skills: The ideal candidates will have a proven Senior Data & Analytics Development background, with the following skills/experience: Knowledge of ETL/ELT, data warehousing/business intelligence methodologies and best practice including dealing with big data, cloud technology and unstructured data and the relative required more »

Data Experience: Competence in handling financial data, coupled with a solid understanding of accounting principles. Technical Skills: In-depth knowledge of dimensional modeling and ETL processes. Agile Framework: Experience working within an Agile Scrum environment. Advanced Excel Proficiency: High-level skills in Excel for managing data exports. Desirable Qualifications: MS more »

specialist training or experience in an appropriate field. Knowledge of data, its use and application within NHS or other complex organisation Demonstrable experience in ETL processes and developing data shares. Stakeholder management and negotiation leading to securing digital and data assets for counter fraud purposes. Recent and ongoing continuous professional more »

in line with defined development standards. Ideally you will have advanced working knowledge of Microsoft reporting stack, understanding of data warehouse concepts, structures and ETL processes. Lastly an individual with a strong technical skill within Power BI and TSQL within a Business Intelligence Environment. Also SSIS and SSRS would be more »

practices) in IT Experience working with CI/CD pipelines and Agile frameworks, preferably with the MLOps context. Unit Testing, Integration Testing, E2E Testing, ETL/ELT Experience or at least knowledge of the following: SciKit-Learn, TensorFlow, Torch, ChatGPT, Llama, LangChain (or equivalent), RAG, Model Security, Jupyter Notebook/ more »

as much of the following as possible. Strong programming skills on GoLang with experience on building APIs and having knowledge on Data warehousing/ETL who can design and develop the data pipelines for Group data consolidation platform built on Google Cloud. Assess, analyse, data ingestion, transformation & storage layers (RAW more »

Per Day (dependant on experience) IR35 Status : Inside of IR35 Required experience will include: 5 years+ QA/Quality Assurance experience Experience of ETL Processing/Data Warehousing testing Excellent Azure experience; including Databricks and Data Factory. Hands-on experience with SQL or Azure SQL. Experience using automated testing on more »

deployment, documentation, built in supportability, built in maintainability, re-use and extensibility) Specific experience of data solutions development addressing data extraction, transformation and load (ETL) processing and data analytics and reporting requirements. Familiar with Agile software development principles and practices and experience of delivery as a member of an Agile more »

Python Developer, on a long term contract, inside IR35 on a remote basis. The key skills required for this Python Developer role are: Python ETL Azure Databricks Pyspark If you do have the required skills for this remote Python Developer contract, please do apply. more »

and optimize data platforms leveraging AWS and key technologies like CDAP, Snowflake, and Databricks. You will design and implement robust and scalable data pipelines, ETL, and analytics systems in the cloud. Responsibilities: Develop and enhance data pipelines, ETL processes using CDAP on AWS infrastructure. Build data integration flows to migrate … Hands-on experience with AWS services like S3, EC2, and EMR. Proficiency in SQL and experience with CDAP, Spark, and Kafka. Experience building scalable ETL processes and workflows. Strong programming ability with Python, Java, and unit testing. Infrastructure-as-code expertise with CI/CD pipelines. Ability to communicate complex more »

Understanding SE engineering concepts and governance including design, development, configuration management, version control, quality control, continuous integration, deployment, and documentation Developing data solutions for ETL processing and data analytics/reporting Agile software development, preferably with experience in an Agile Scrum team using Scrum methodology more »

The Data and Platform Engineering team are the foundation for the Data Office function. Responsible for designing, building, and maintaining their data platform, they extract data from source, transform it into a usable format, load it into consumer models & marts as well as building and managing the infrastructure to do … all of the work. About your role: (50/50 split between Design & Development and Leading, coaching & Mentoring) You will have an extensive ETL/ELT background developing data pipelines, optimising queries, and enhancing overall data processing performance. You will also be experienced in data modelling/data warehousing. You more »

to join our product team on high profile projects. The candidate should be able to demonstrate experience of building Data warehouses using an appropriate ETL tool as a part of an overall analytics solution. The candidate should have strong hands-on technical experience in programming, SQL and data manipulation/… Knowledge and ability Proven technical ability in a management Information role Knowledge of Data Warehouse design; Star schema and dimensional modelling Previous experience of ETL/ELT applications Strong Problem-solving skills. Ability to work with evolving requirements. Communication Strong, clear, proactive communication and collaboration. Good written, oral, presentation, interpersonal … service excellence. Collaborate, support and understanding the team dynamic. Minimum Criteria Knowledge of Data Warehouse design; Star schema and dimensional modelling Previous experience of ETL/ELT toolsets Excellent SQL skills Hands on experience with AWS Services i.e., EC2, S3, Lambda. Python Scripting Code Repository Management (e.g. GitHub, Subversion, Bitbucket more »

rest remote. Experienced in Data and Analytics solution design and implementation using Agile, working to deliver complex data and BI products. Detailed knowledge of ETL, data warehousing, data modelling and experience dealing with big data is expected. Skills. Experince of ETL/ELT, data warehousing/business intelligence methodologies and … like Data Factory, Event Hubs, Data Lake, Synapse, Azure SQL server. 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. Knowledge of more »

months Hybrid Working - 2 full days a week working in London Talent are seeking a highly skilled Senior Developer with extensive experience in ETL/ELT processes, data warehousing/business intelligence methodologies, and best practices. The ideal candidate will have a strong background in handling big data, cloud technologies … deep understanding of star schema structure and hybrid data warehouse design. As a Developer your key responsibilities will be: Design, develop, and maintain robust ETL/ELT processes and data pipelines. Implement data warehousing solutions using Kimball and Inmon methodologies. Develop and manage cloud-based data solutions using Azure services … Factory, Event Hubs, Data Lake, Synapse, and Azure SQL Server. Create and optimize data processing workflows in Databricks using PySpark and Spark SQL. Ensure ETL coding standards are met, including self-documenting code and reliable testing. Apply best practice data encryption techniques and standards to ensure data security. Stay current more »

months Hybrid Working - 2 full days a week working in London Talent are seeking a highly skilled Data Engineer with extensive experience in ETL/ELT processes, data warehousing/business intelligence methodologies, and best practices. The ideal candidate will have a strong background in handling big data, cloud technologies … understanding of star schema structure and hybrid data warehouse design. As a Data Engineer your key responsibilities will be: Design, develop, and maintain robust ETL/ELT processes and data pipelines. Implement data warehousing solutions using Kimball and Inmon methodologies. Develop and manage cloud-based data solutions using Azure services … Factory, Event Hubs, Data Lake, Synapse, and Azure SQL Server. Create and optimize data processing workflows in Databricks using PySpark and Spark SQL. Ensure ETL coding standards are met, including self-documenting code and reliable testing. Apply best practice data encryption techniques and standards to ensure data security. Stay current more »

March 2025 Location: Leeds 20% Home 80% IR35: In scope The purpose of the Business Intelligence Analyst post is to: Create and support ETL processes that provide a stable, trusted source of data for all reporting and data requirements Create and maintain business intelligence (BI) reports and dashboards using available … Experience of complex data analysis using advanced knowledge of statistics, database design and BI systems tools Understand basic concepts of BI Architecture such as ETL, Data Warehousing and Data Modelling Ability to manipulate, model and analyse data using Excel, SQL, QlikView, Qlik Sense Experience developing reports using data visualisation tools more »