9 of 9 ETL Jobs in Newcastle upon Tyne

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. ...

expect to be involved in the following: Designing scalable data architecture that supports analytics, reporting, and ML workloads. Building and maintaining secure, repeatable ETL and ELT pipelines using Azure, Python, and SQL. Driving best practice, including CI/CD, observability, documentation, and automation. Creating datasets and reusable data models ...

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 ...

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 ...

best practice at scale. You’ll be: Leading and developing a high-performing team of data engineers Designing and building robust, scalable ELT/ETL pipelines Working extensively with Snowflake and Azure Partnering closely with Product and Customer Success to deliver real client outcomes Playing a central role in defining ...

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 ...

and can lead teams through ambiguity to predictable, high-quality outcomes. Your Responsibilities: Lead the design and implementation of scalable, secure, and cost-efficient ETL/ELT pipelines using AWS Glue, Python (PySpark), and MWAA (Airflow). Define solution architectures, data models, orchestration patterns, and CI/CD for data … risk, pricing, regulatory reporting, underwriting, fraud, payments, or actuarial data). Experience with event-driven and near-real-time pipelines (Kafka/Kinesis, streaming ETL). Knowledge of data quality frameworks (Great Expectations, Deequ) and data lineage/catalog (Atlas, Alation, Collibra). Exposure to Databricks or EMR for advanced ...

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 ...