7 of 7 ETL Jobs in Nottinghamshire

and collaboration, making it ideal for someone who enjoys both developing high-quality data solutions and supporting others. Key Responsibilities: Build and maintain scalable ETL/ELT pipelines using Snowflake, dbt, and SQL Transform complex data into structured, analytics-ready datasets Develop and optimise Snowflake components (tasks, streams, stages, dynamic ...

data analysis, and data visualization tools (Power BI/Tableau/Qlik) APIs (knowledge of JSON, RESTful services, Swagger/OpenAPI specs) Excel, ETL tools, and basic scripting (Python is a plus) Experience working in Agile/Scrum environments. Strong documentation and communication skills. Ability to collaborate with cross-functional ...

with complex datasets from multiple sources (e.g., SQL, Excel, cloud platforms) Ability to communicate insights effectively to technical and non-technical stakeholders Familiarity with ETL processes , data governance, and data quality frameworks Excellent problem-solving skills and attention to detail Reasonable Adjustments: Respect and equality are core values to us. ...

optimisation. Proficiency with SQL and NoSQL databases such as PostgreSQL and Cassandra. Experience with systems like Kafka or RabbitMQ. Ability to build and manage ETL pipelines using tools like Airflow. This role is an urgent requirement. There are limited interview slots left. If interested, send an up-to-date ...

Comfortable with technology, architectural decisions, and technical trade‐offs, backed by a previous background as an experienced software engineer. Experience with data platform and ETL/orchestration technologies such as Apache Airflow, Spark, AWS Glue, and Snowflake. Experience with or strong advocacy for AI developer tooling such as Claude Code ...

alerting. This is a Hybrid, Nottingham based role (40% in the office) reporting to the Lead Data Security Engineer Role Responsibilities Design and run extract, transform, load (ETL) processes to bring in data from security tooling and other corporate data sources into a standardized and normalized data structure using ...

large datasets to ensure accuracy and usability. Define and track KPIs for marketing, product, and business performance. Work with SQL, Python, or R to extract, analyze, and manipulate data. Collaborate with product managers, engineers, and marketing teams to provide data-driven insights . Conduct A/B testing and experiment … ability to communicate insights to non-technical stakeholders. Experience working with large datasets and cloud-based data warehouses (BigQuery, Redshift, Snowflake). Familiarity with ETL processes and data pipeline optimization is a plus. Ability to work in a fast-paced, data-driven environment and manage multiple projects. What benefits ...