12 of 12 ETL Jobs in Newcastle upon Tyne

data pipelines using Azure Synapse, Data Factory, Databricks or Microsoft Fabric Architect, implement and oversee high-performing data lakes, data warehouses and ETL/ELT processes Develop scalable, robust data models for enterprise-level reporting within Power BI Serve as a technical authority, advising clients on best-fit data solutions ...

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. ...

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 ...

policy stakeholders to ensure data integrity, accuracy, and traceability across live operational systems. Key Responsibilities Service Modernisation & Data Engineering Design, build, and maintain robust ETL/ELT pipelines supporting Legacy system replacement Develop secure and scalable data extraction processes from live production systems Implement field-level mappings and transformation logic ...

and modern data-warehouse technologies (e.g. Snowflake, Redshift, Glue, Lambda, S3, Step Functions) Proven experience designing and building scalable data pipelines, data models and ETL/ELT processes Strong understanding of data architecture, cloud engineering principles, security, governance and best-practice engineering standards Ability to self-manage, take ownership ...

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 ...

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 ...

developing software-driven analytical solutions that support complex engineering challenges. Key responsibilities include: Developing and validating predictive machine learning models Designing and implementing ETL (Extract, Transform, Load) pipelines using Python and SQL Performing exploratory data analysis, visualisation, and interpretation Contributing to generative AI initiatives, including LLM fine-tuning, document content ...

practices in .NET development What We're Looking For: Expert .NET Developer: Deep knowledge SQL Server Proficiency: Strong fundamentals in querying, table design, and ETL processing large datasets (performance tuning not required) ADO.Net Expertise: Familiarity with EntityFramework or other ORMs is a plus, but not essential Async & Multithreading Mastery: Experience ...

high-quality data solutions that support both operational and analytical needs across the enterprise. Key Responsibilities Design and implement scalable Guidewire data pipelines and ETL workflows leveraging Guidewire DataHub, GDA, and InsuranceSuite data structures. Architect enterprise-grade Guidewire Lakehouse or downstream data solutions, ensuring performance optimisation, data governance, lineage, and … enterprise cloud infrastructure (Azure/AWS) and downstream BI/reporting environments. Required Experience Strong hands-on expertise with Guidewire DataHub (data model extensions, ETL, mappings, staging patterns). Deep understanding of Guidewire Data Access (GDA) for high-performance data extraction and reporting integration. Experience across the Guidewire InsuranceSuite (PolicyCenter ...

Only) This is a standout opportunity to take technical ownership of a modern data engineering function. You will shape data architecture, build high-impact ETL pipelines, and play a key role in developing both the platform and the team as they enter their next phase of growth. THE COMPANY They … team focused on data ingestion and modelling. Specifically, you can expect to be involved in the following: Leading the design, build and optimisation of ETL pipelines and ingestion frameworks. Owning core data engineering solutions across modelling, transformation and orchestration. Acting as a technical lead while providing light people leadership ...

following: Running client workshops to understand complex, ambiguous challenges, translating requirements into clear technical strategies and architectural designs. Ownership of data infrastructure, ETL pipelines and automation workflows. Creating centralised, well-structured data environments from unstructured sources. Advising clients on how to evolve towards predictive and machine learning capabilities. Staying hands … expertise across data engineering, data infrastructure and cloud-based architecture. Proven capability designing and delivering end-to-end data platforms. Hands on experience with ETL development, data modelling and data normalization. Background in AWS environments and modern orchestration tools such as Airflow or Dagster. Confidence leading client conversations, running workshops ...