1 to 25 of 68 ETL Jobs in the North of England

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 »

Engineer Immediate Responsibilities Managing and delivering end to end BI reporting projects from initial brief/requirement gathering to data pipeline development (APIs/ETL/ELT/SQL) to visualization Undertaking ad hoc BI tasks based on business requirements and priorities As part of the BI team you will more »

Engineering, Synapse Data Warehouse, Python, One Lake Working knowledge of Microsoft Azure Cloud Good knowledge of data management principles, including data modelling, data integration, ETL (Extract, Transform, Load) processes, data governance, and data security Experience building data platform components to support a business need Strong attention to detail and analytical 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 »

skills. Responsibilities required for the role of Data Warehouse Developer Design and develop data models and schemas for the data warehouse. Build and maintain ETL (Extract, Transform, Load) processes to integrate data from various sources. Develop complex SQL queries and scripts to ensure efficient data retrieval and manipulation. Responsible for … with ad hoc requests such as reporting, hardware refreshes etc. Maintain and support existing data warehouse infrastructure. Develop and maintain documentation for data models, ETL processes, and workflows. Provide support for data-related issues and ad hoc queries from end-users. Experience required for the role of Data Warehouse Developer … Warehouse solutions for managing data and information Proven experience in data warehousing, data modelling, and database design. Proficiency in SQL (SSMS) and experience with ETL tools (e.g., SSIS, SAS DI, Informatica, Talend). Experience with data warehouse platforms (e.g., Microsoft SQL Server, Amazon Redshift, Google BigQuery, Snowflake). Familiarity 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 »

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 »

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 »

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 »

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 »

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 »

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 »

and processes to enhance data operations. Requirements: Bachelor's or Master's degree in Computer Science, related field, or equivalent commercial experience. Proficiency in ETL/ELT processes and database systems. Strong programming skills in Python and experience with data operations within AWS. Background in event-based data operations. Excellent 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 »

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 »

credentials What technical skills are required Ability to implement and use modern data platform concepts, frameworks and tooling, covering all data orchestration aspects from ETL/ELT data flows (including building out source-to-target mappings) to testing and service optimisation.) Good familiarity with our developing key services/applications 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 »