sets to meet business and technical requirements. Process Improvement: Identify and implement process enhancements, automate manual tasks, and optimize data delivery. Data Integration: Build ETL infrastructure to ensure smooth data extraction, transformation, and loading. Collaboration: Work alongside stakeholders, including data scientists and analysts, to meet data infrastructure needs. Data Quality More ❯
experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more More ❯
to them. Benefits: Flexitime Free Parking Pension Scheme Life Assurance Cycle to Work Scheme Free Eye Tests Employee rewards scheme And more Role Responsibilities: ETL processes Collect, clean and analyse data Build, develop, and maintain data models, dashboards, and systems Optimise data processes Track project progress Help to analyse pricing More ❯
a Senior Data Engineer looking to transition into this domain will also be considered. Key Responsibilities: Oversee and lead the design and implementation of ETL/ELT processes to ingest data from new ERP system into Snowflake Architect and develop the Snowflake data warehouse to support reporting and analytics needs … into a strategic application portfolio plan and ensure its effective management and alignment with organisational goals. Business Intelligence: Knowledge of the data lifecycle from ETL, through to the analysis of datasets, leading to the publication of information and aiding business stake holders to derive insight and potential trends. IT Security … services with the needs of the business, through high-quality products services and the management of external services Key Skills & Experience: Essential: Experience with ETL/ETL tools (Matillion preferred) Experience of SQL Server and Snowflake (or other variants of Cloud Data Warehousing solutions e.g Azure/AWS etc) Experience More ❯
a Senior Data Engineer looking to transition into this domain will also be considered. Key Responsibilities: Oversee and lead the design and implementation of ETL/ELT processes to ingest data from new ERP system into Snowflake Architect and develop the Snowflake data warehouse to support reporting and analytics needs … into a strategic application portfolio plan and ensure its effective management and alignment with organisational goals. Business Intelligence: Knowledge of the data lifecycle from ETL, through to the analysis of datasets, leading to the publication of information and aiding business stake holders to derive insight and potential trends. IT Security … services with the needs of the business, through high-quality products services and the management of external services Key Skills & Experience: Essential: Experience with ETL/ETL tools (Matillion preferred) Experience of SQL Server and Snowflake (or other variants of Cloud Data Warehousing solutions e.g Azure/AWS etc) Experience More ❯
Bath, Somerset, United Kingdom Hybrid / WFH Options
Cathcart Associates Group Ltd
datasets to automate the creation of sizeable subnational index data sets. The main tools you will be using day to day are: Python Docker ETL pipelines GIS - PostGIS or ESRI knowledge (Ideally Raster Data Sets) AWS You: Our customer is looking for someone well versed with the above tools/ More ❯
ensuring a high-quality Snowflake environment to support business intelligence, analytics, and data-driven decision-making. Key Responsibilities: Develop and optimize data pipelines andETL processes into Snowflake. Build, structure, and maintain the Snowflake data warehouse. Work closely with the BI & Data Manager to align technical solutions with strategic goals. … developers, and stakeholders across the business. Skills and Experience Required: Strong experience working with Snowflake in a data engineering capacity. Expertise in SQL andETL/ELT development. Familiarity with cloud platforms (AWS, Azure, or GCP). Experience with data modelling (e.g., star/snowflake schema). Knowledge of best More ❯
ensuring a high-quality Snowflake environment to support business intelligence, analytics, and data-driven decision-making. Key Responsibilities: Develop and optimize data pipelines andETL processes into Snowflake. Build, structure, and maintain the Snowflake data warehouse. Work closely with the BI & Data Manager to align technical solutions with strategic goals. … developers, and stakeholders across the business. Skills and Experience Required: Strong experience working with Snowflake in a data engineering capacity. Expertise in SQL andETL/ELT development. Familiarity with cloud platforms (AWS, Azure, or GCP). Experience with data modelling (e.g., star/snowflake schema). Knowledge of best More ❯
data to the new intermediary platform Migration Strategy: Develop and document the migration strategy, including defining the approach (e.g., lift-and-shift, re-platforming) ETL Processes: Oversee the Extract, Transform, Load (ETL) processes to ensure data integrity and consistency Testing: Support Test manager to validate the migration, including static and … Experience: Experience in business analysis Wrap Platform migrations: Has had experience of working on multiple UK Wrap Platform migrations Technical Skills: Proficiency in SQL, ETL tools, and data modelling Analytical Skills: Strong analytical and problem-solving skills Communication: Excellent verbal and written communication skills Project Management: Experience with project management More ❯
at scale is highly valued. Python: Advanced skills to build and optimise data pipelines. SQL : Proficient in querying and transforming data to ensure accuracy. ETL : Experience with designing and managing ETL processes for data integration and transformation. Cloud Environments: Hands-on experience with Azure, including setting up and managing environments More ❯
capabilities for operational and analytical systems • Experience with an Enterprise Data Catalogue and Business Glossary • Experience of cloud data technologies, enterprise integration tools andExtract, Transformation andLoad (ETL) tools • Understanding of the data lifecycle and implications for GDPR • Either have or work to achieve professional IT qualifications such as More ❯