26 to 50 of 470 ETL Jobs in the UK

cloud-native technologies. Work closely with cross-functional teams to understand data requirements and translate them into technical specifications. Build and maintain data pipelines, ETL processes, and data warehouses on Azure, leveraging technologies such as Azure Data Factory. Implement and optimize data solutions using Kubernetes for container orchestration. Collaborate with more »

our data systems. Champion data quality principles and best practices throughout the organization. Required Skills and Experience: Advanced proficiency MS SQL Extensive experience with ETL/ELT techniques, data warehouse design, and data visualisation. Strong command of Microsoft tools such as Fabric, Azure Blob Storage, Data Factory, Purview, and Power more »

Azure DevOps, Visual Studio, Tabular Editor Understanding of Microsoft Dynamics, Business Central would be beneficial Solid understanding and experience of database management systems and ETL Framework Experience in leading/motivating teams to deliver meaningful change and drive their professional development. Experience managing and building relationships with internal and external more »

various teams to understand data requirements and implement solutions. > Optimizing data workflows and processes to enhance data quality, reliability, and performance. > Developing and managing ETL processes for data ingestion, processing, and transformation. > Implementing data governance practices to ensure data integrity, security, and compliance. > Monitoring and troubleshooting data infrastructure to address 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 »

believe in the power of being... YOU! About the role We are seeking a highly skilled Senior Data Engineer with a strong focus on Extract, Transform, Load (ETL) processes to join our growing team. This role will be fully remote, offering flexibility and the chance to contribute significantly to our … data infrastructure. Key responsibilities of the Senior Data Engineer; Design, develop, and implement robust ETL pipelines to extract data from various sources (databases, APIs, etc.). Cleanse, transform, and validate data to ensure high quality and consistency before loading it into data warehouses or data lakes. Designing and implementing CI …/CD workflows for data engineering projects. Optimize ETL processes for efficiency, scalability, and performance. Develop and maintain documentation for data pipelines and data models. Troubleshoot and resolve ETL-related issues, ensuring data accuracy and integrity. Collaborate with data analysts, data scientists, and other engineers to understand data needs and more »

key role in transforming raw data into actionable insights that empower our business users to make data-driven decisions. Responsibilities: Utilise Power Query to extract, transform, and load (ETL) data for analysis in Power BI. Connect to various data sources, cleanse, and transform data to ensure accuracy and consistency. Design 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 »

open-source data engineering and scientific Python toolset. Our tech stack includes Airbyte for data ingestion, Prefect for pipeline orchestration, AWS Glue for managed ETL, along with Pandas and PySpark for pipeline logic implementation. We utilize Delta Lake and PostgreSQL for data storage, emphasizing the importance of data integrity and more »

Power BI, Azure Cloud Services (including PowerShell, Functions, Devops, and CI/CD Pipelines) Significant experience in Azure SQL Development and Data engineering, managing ETL and ELT pipelines Ability to work in a small dynamic team working across the data and analytics space University degree in a STEM subject HOW 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 »

data pipelines for data ingestion, processing, and transformation in Azure. Utilise Azure Data Factory, Azure Databricks and SAP Business Objects to create and maintain ETL operations. Deliver dashboard reporting and data sets which are interactive and user-friendly via PowerBI Identifying and integrating external data into the business data model 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 »

of the below: - Cloud technology (Azure or AWS) - this organisation are migrating to cloud soon, so any experience here would be great - Data engineering (ETL) - designing and developing processes, both on-premise and maybe even cloud - Exposure to BI Tooling - Power BI would be great, however other tool are considered more »

Job Title: Power BI Developer Duration: 3 months Rate: £400 per day Location: Remote Skills: Power BI/Azure Cloud/ETL IR35 Determination: Outside IR35 We're … seeking a talented Power BI Developer to join us on a 3 month contract within our Azure environment, with a focus on Extract, Transform, Load (ETL) processes. Your primary responsibility will be to design, develop, and implement Power BI solutions to meet our reporting and analytical needs. You will collaborate … reports and dashboards within Azure environment, incorporating ETL processes. Collaborate with stakeholders to understand reporting requirements and translate them into actionable insights. Extract, transform, and load data from Azure data sources into Power BI for analysis, ensuring data accuracy and integrity. Optimize Power BI performance and troubleshoot any ETL-related 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 »

levers, and lead metrics for performance improvement. Develop and create 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. Establish the integration with other databases and systems in conjunction with more »

processes. Experience required At least 3 Years Data Architect experience/similar Strong understanding of data warehousing, data modelling and metadata management Experience with ETL pipelines, database design principles, data visualisation tools e.g., Power BI Cloud-based technologies (AWS/GCP/Azure/Cosmos) Knowledge of data governance and more »

and communicate how our data inputs and outputs affect different groups and identify areas Janes can provide additional value. Requirements Experience architecting and developing ETL pipelines solutions for the ingestion, transformation, and serving of data, as well as solutions for the orchestration of pipeline components (e.g. AWS Step Functions, Apache more »

platform in AWS. Utilise Agile methodologies to manage the development lifecycle. Design and implement data pipelines, ensuring data quality and integrity. Requirements: Proficiency in ETL tools such as SQL, SSIS, AWS, Lambda, and Python. Strong understanding of data warehouse concepts. Excellent problem-solving and communication skills. Benefits: Competitive salary and 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 »

Strong programming skills in Python Proven work experience as a Data Engineer or in a similar role Experience with data modelling, data warehousing and ETL frameworks Proficiency in working with relational databases (e.g., Oracle, PostgreSQL), Parquet/Delta files and big data technologies (e.g. Synapse, Hadoop, Spark, Kafka) Experience working more »

systems. Promote best practices and principles of data quality throughout the organisation. Required Skills and Experience: Advanced proficiency in MS SQL Extensive experience with ETL techniques, data warehouse design, and data visualisation Command of Microsoft tools such as Fabric, Data Factory, and Power BI Excellent communication, presentation, and stakeholder management more »