7 of 7 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 ...

Databricks and modern cloud technologies. Key Responsibilities Design, develop, and maintain scalable data pipelines using Databricks, Apache Spark, and Delta Lake Build and optimize ETL/ELT workflows for batch and streaming data Develop data models to support analytics, reporting, and machine learning use cases Ensure data quality, reliability, and ...

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 ...

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 ...

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 ...

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 ...