3 of 3 ETL Jobs in Newcastle upon Tyne

Data Analyst

Hiring Organisation
Kinetic PLC
Location
Newcastle upon Tyne, Tyne and Wear, Tyne & Wear, United Kingdom
Employment Type
Temporary
Salary
£18 - £22/hour
Engineering, Mathematics, or related discipline or equivalent experience. * Professional certifications (e.g., Snowflake SnowPro, Microsoft Power BI Data Analyst) beneficial. Key Responsibilities: Data Management & Processing: * Extract, transform, and load (ETL) data from multiple sources, primarily using Snowflake, SQL, and associated pipelines. * Ensure high data quality, integrity, consistency, and availability. * Develop repeatable … Snowflake preferred). * Proficiency building Power BI dashboards, DAX formulas, and data models. * Experience working with cloud-based data warehousing platforms. * Understanding of ETL/ELT concepts, data modelling, and data architecture. * Proficient in Excel and general data manipulation tools. Analytical Skills: * Ability to interpret large datasets into actionable insights. ...

Data Engineer

Hiring Organisation
Experis UK
Location
Newcastle Upon Tyne, England, United Kingdom
helping to design, build, and maintain scalable data pipelines and cloud-based data solutions. Key Responsibilities • Design, build, and maintain scalable data pipelines and ETL processes. • Develop and optimise data models for analytics and reporting. • Work closely with software engineers, analysts, and stakeholders. • Ensure data quality, reliability, and performance. • Implement ...

Data Architect

Hiring Organisation
Morson Edge
Location
Newcastle Upon Tyne, Tyne and Wear, North East, United Kingdom
Employment Type
Contract
logical and physical data models Define and enforce data management standards, policies and best practices Work closely with data engineers to design and optimise ETL/ELT pipelines for structured and unstructured data Ensure data quality, consistency and security across platforms Collaborate with business and technical stakeholders to translate data … solving and documentation skills Desirable: Experience with cloud data platforms (AWS, Azure or GCP) Exposure to big data technologies (Hadoop, Spark, Kafka) Familiarity with ETL/orchestration tools (e.g. Informatica, Talend, Airflow) Experience with API integration and microservices data flows Familiarity with AI/ML data pipelines or analytics platforms ...