1 to 25 of 52 ETL Jobs in Cheshire

databases. Manage data lakes, warehouses, and lakehouses within Azure cloud environments. Apply data modelling techniques such as Kimball methodologies, star schemas, and data warehouse design principles. Build and support ETL workflows using tools like Azure Data Factory, Synapse, Delta Live Tables, dbt, SSIS, etc. Automate infrastructure deployment with Terraform, ARM, or Bicep. Collaborate on report development and visualisation with Power … skills in Python, SQL, and PySpark. Experienced working with data lakes, warehouses, lakehouses, and cloud platforms, preferably Azure. Knowledgeable in data modelling, including Kimball and star schemas. Familiar with ETL tools such as Azure Data Factory, Synapse, Delta Live Tables, dbt, SSIS. Experienced with Infrastructure as Code (Terraform, ARM, Bicep). Skilled in Power BI report development. Proficient in version More ❯

true to our Customers, Owners and Colleagues alike. Essential Experience: Bachelor's degree in a numerate discipline or an equivalent analytical apprenticeship Strong proficiency in SQL Good understanding of ETL/ELT processes Exposure to Python or any other object-oriented programming languages Experience with modern data stack tools and cloud-based data warehouses like MS Fabric, Snowflake, Databricks, Teradata … Ability to understand stakeholder needs and a strong communicator. Nice to have: The ideal candidate will have experience using Azure Synapse, Azure Data Factory or MS Fabric to perform ETL tasks and manage semantic layers Commercial awareness, ideally within the holiday lettings or travel and tourism sectors Experience in an e-Commerce environment working with website/mobile performance analytics More ❯

individual who has experience working with enterprise grade data pipelines and infrastructure, who can implement processes on our modern tech stack with robust, pragmatic solutions. Responsibilities develop, and maintain ETL/ELT data pipelines using AWS services Data, Databricks and dbt Manage and optimize data storage solutions such as Amazon S3, Redshift, RDS, and DynamoDB. Implement and manage infrastructure-as … infrastructure components Experience deploying could data infrastructure services Programming experience in Python Experience writing, troubleshooting, and debugging advanced SQL queries Outstanding analytical and problem-solving skills Experience working with ETL/ELT, and reporting and analytic tools Skills and experience we’d love you to have... But if not? We’ll help you get there: Understanding of cloud computing security More ❯

individual who has experience working with enterprise grade data pipelines and infrastructure, who can implement processes on our modern tech stack with robust, pragmatic solutions. Responsibilities develop, and maintain ETL/ELT data pipelines using AWS services Data, Databricks and dbt Manage and optimize data storage solutions such as Amazon S3, Redshift, RDS, and DynamoDB. Implement and manage infrastructure-as … infrastructure components Experience deploying could data infrastructure services Programming experience in Python Experience writing, troubleshooting, and debugging advanced SQL queries Outstanding analytical and problem-solving skills Experience working with ETL/ELT, and reporting and analytic tools Skills and experience we’d love you to have... But if not? We’ll help you get there: Understanding of cloud computing security More ❯

individual who has experience working with enterprise grade data pipelines and infrastructure, who can implement processes on our modern tech stack with robust, pragmatic solutions. Responsibilities develop, and maintain ETL/ELT data pipelines using AWS services Data, Databricks and dbt Manage and optimize data storage solutions such as Amazon S3, Redshift, RDS, and DynamoDB. Implement and manage infrastructure-as … infrastructure components Experience deploying could data infrastructure services Programming experience in Python Experience writing, troubleshooting, and debugging advanced SQL queries Outstanding analytical and problem-solving skills Experience working with ETL/ELT, and reporting and analytic tools Skills and experience we’d love you to have... But if not? We’ll help you get there: Understanding of cloud computing security More ❯

experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL More ❯

experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL More ❯

stakeholders to identify data requirements and deliver sustainable solutions. Monitor and troubleshoot data pipeline issues to maintain data integrity and accuracy. Assist in the development, maintenance, and optimization of ETL (Extract, Transform, Load) processes for efficiency and reliability. Project & Improvement: Assist in gathering, documenting, and managing data engineering requirements and workflows. Contribute to the development of guidelines and documentation for … to data infrastructure. Participate in quality reviews of designs, prototypes, and other work products to ensure requirements are met. Skills & Experience: Basic understanding of data engineering concepts, such as ETL processes, data pipelines, and data quality management. Hands-on experience with SQL (e.g., writing queries, basic database management). Familiarity with data tools and platforms (e.g., Python, Power BI, Tableau More ❯

stakeholders to identify data requirements and deliver sustainable solutions. Monitor and troubleshoot data pipeline issues to maintain data integrity and accuracy. Assist in the development, maintenance, and optimization of ETL (Extract, Transform, Load) processes for efficiency and reliability. Project & Improvement: Assist in gathering, documenting, and managing data engineering requirements and workflows. Contribute to the development of guidelines and documentation for … to data infrastructure. Participate in quality reviews of designs, prototypes, and other work products to ensure requirements are met. Skills & Experience: Basic understanding of data engineering concepts, such as ETL processes, data pipelines, and data quality management. Hands-on experience with SQL (e.g., writing queries, basic database management). Familiarity with data tools and platforms (e.g., Python, Power BI, Tableau More ❯

of Microsoft Entra ID, MFA, Conditional Access policies, and managing servers/virtual environments in Azure. BI & Data Skills: Experience with BI platforms (e.g., SAP BusinessObjects, Power BI), SQL, ETL, data modelling, and diverse data sources including SAP HANA. Tableau Tools: Knowledge of Tableau Resource Monitoring Tool (RMT) and Content Migration Tool. DevOps: Familiarity with Azure DevOps CI/CD More ❯

ID, MFA, Conditional Access policies, and experience managing servers and virtual environments in Microsoft Azure BI & Data Skills : Experience with other BI platforms (e.g. SAP BusinessObjects, Power BI), SQL, ETL processes, data modelling, and diverse data sources (including SAP HANA). Tableau Tools : Knowledge of Tableau Server Resource Monitoring Tool (RMT) and Content Migration Tool. DevOps : Familiarity with Azure DevOps More ❯

of, strengthening the mutual choice for customers by providing leading and cutting-edge technology solutions. About the role Design and implement scalable and robust data pipelines to extract, transform, and load data from various sources. Evaluate and select appropriate tools and technologies to enhance data processing capabilities. Develop and maintain documentation on data integration processes, data flows, and data lineage. More ❯

a minimum requirement of 2 days in the office and the flexibility to work from home the rest of the week. What will you be doing as Data Engineer: ETL Maintenance: Collaborating with the Senior Data Engineer to ensure that the ETL process between source systems and the Data Warehouse remains fully operational, with minimal downtime and blockages. Implementing new More ❯

data reporting and transparency Catalogue data sources and refresh schedules General Ensure compliance with company policies and support evolving business needs Technical Skills & Tools Power BI, Microsoft Azure, SQL, ETL, data warehousing, data transformation and mapping Python and knowledge of data warehouse design are a plus Qualifications Degree-level education or equivalent Experience in the energy sector is advantageous Personal More ❯

Work with teams to understand objectives and define analytics goals. Develop data analysis strategies using AWS tools such as Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for diverse data sources. Apply statistical and machine learning techniques for analysis and insights. Create dashboards and KPIs using Amazon QuickSight for decision-making. Perform exploratory data analysis to … s degree in a related field. Experience as a Data Scientist, preferably with AWS analytics services. Proficiency in AWS tools like Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, data warehousing. Skills in statistical analysis, machine learning, and programming languages such as Python, R, or Scala. Experience with SQL, NoSQL, data visualization, and big data technologies. Knowledge of data More ❯

projects. What you’ll be doing: Helping analyze customer service data to generate actionable insights Supporting the migration from a traditional data warehouse to Microsoft Fabric Building and maintaining ETL processes (SSIS), reports (Power BI, some SSRS), and working with Azure Data Factory Learning core systems (Azure, Microsoft CRM, housing systems) and contributing to data quality and governance Profile: Strong More ❯

Skills: - 5+ years in a business/data analyst role, ideally in a consultancy or commercial setting. - Strong analytical, problem-solving, and communication skills. - Experience with operational data processes, ETL, data warehouse migration, schema mapping, and MI/BI reporting. - Proficient in tools such as JIRA, Confluence, Asana, Miro, and Excel. - Familiarity with Agile (SCRUM), and ability to manage multiple More ❯

Skills: - 5+ years in a business/data analyst role, ideally in a consultancy or commercial setting. - Strong analytical, problem-solving, and communication skills. - Experience with operational data processes, ETL, data warehouse migration, schema mapping, and MI/BI reporting. - Proficient in tools such as JIRA, Confluence, Asana, Miro, and Excel. - Familiarity with Agile (SCRUM), and ability to manage multiple More ❯

enforcement, proxy voting, vendor oversight. Solid understanding of investment data flows and financial instruments across asset classes. Hands-on proficiency with tools and languages such as SQL, Python, and ETL/data integration platforms. Strong communication, presentation, and stakeholder engagement capabilities. Advanced skills in MS Office Suite and the creation of professional deliverables. #J-18808-Ljbffr More ❯

Salesforce DX, and CI/CD pipelines. Strong understanding of Salesforce platform capabilities including Flow, roles, permissions, reports, and dashboards. Experience with Salesforce integration patterns (API/Middleware/ETL). Ability to translate business needs into platform solutions with minimal supervision. Excellent communication, stakeholder engagement, and documentation skills. Comfortable working in agile delivery teams and managing competing priorities. Desirable More ❯

thinking organisation that uses data to drive innovation, inform decision-making, and create value for customers. With our commitment to excellence, we continuously push the boundaries of data integration, ETL process and issue resolution. Idox fosters a culture that celebrates curiosity, collaboration, and continuous learning, empowering our team to explore new ideas and solve complex challenges. We are currently seeking … Technical experience Undertake database extractions from back-office software solutions commonly used in Local Government regulatory services, ensuring completeness and accuracy. Lead and execute upon a portfolio of complex ETL project deliveries (transformations and merges) using a combination of internal and industry-standard ETL tools and scripting languages. Contribute to the ongoing development and evolution of innovative and efficient processes … that improve delivery quality, scalability and consistency across our data consulting services. Develop and maintain documentation for ETL processes, including data mappings, transformations, technical specifications, and workflows for reference and compliance. Stay informed of industry trends, best practices and advancements in ETL and data management. To be successful: Essential Qualifications and Experience: Educational Background: A Bachelor’s degree in Computer More ❯

play a key role in driving this transformation while ensuring the smooth operation of data and analytics services. DATA WAREHOUSING MANAGER – ESSENTIAL SKILLS Strong understanding of data warehousing and ETL principles. At least 3-5 years of proven experience in data warehousing and/or data-related development roles. Experience/knowledge of SAS software on a SAS 9.4 platform … role you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: Python, ETL, SAS, SQL Server, Linux OS, Windows More ❯

proficiency in real-time data streaming technologies such as Kafka, Pulsar, and RabbitMQ. Extensive experience with high-performance databases, including PostgreSQL, ClickHouse, Cassandra, and Redis. In-depth knowledge of ETL/ELT pipelines, data transformation, and storage optimization. Skilled in working with big data frameworks like Spark, Flink, and Druid. Hands-on experience with both bare metal and AWS environments. More ❯

Skills & Experience Required 5+ years in product management with a focus on data platforms or enterprise SaaS products. Strong technical background with a solid understanding of data architectures, APIs, ETL pipelines, and cloud technologies (e.g., AWS, GCP, Azure). Proven experience working with CDPs, DMPs, CRMs, or similar customer data tools. Familiarity with identity resolution, customer segmentation, and real-time More ❯

least 3-5 years proven working experience in data warehousing and/or data-related roles Excellent client-facing, written and communication skills Strong understanding of data warehousing and ETL principles Solid organisational skills including attention to detail and multi-tasking skills Experience/Knowledge of SAS software on SAS 9.4 platform architecture Experience/Knowledge of Oracle database solutions More ❯