8 of 8 Amazon Redshift Jobs in the North of England

environment, contributing to technical discussions and problem-solving initiatives. Senior Data Engineer Requirements: Proven experience in building and managing cloud-based data platforms (AWS Redshift/Glue, Azure Data Factory/Synapse, Google BigQuery/Dataflow). Strong programming skills in Python, SQL, and Java for data engineering tasks. ...

following are nice to have: Data Engineering & Programming: • Python • SQL • Spark/PySpark • Scala • Data modelling and warehousing concepts Cloud & Platforms: • AWS (S3, Redshift, Glue, EMR, Lambda) • Other cloud platforms (Azure/GCP considered) • Data lake and data warehouse architectures General: • Strong problem-solving skills • Experience working in agile ...

working with CI/CD, Git and structured deployment processes An understanding of modern cloud data platforms and warehousing technologies such as BigQuery, Snowflake, Redshift, Synapse or Databricks Ability to work autonomously and prioritise your own workload Confidence working with non-technical stakeholders A pragmatic approach - able to balance ...

experience: Strong Python and SQL skills AWS or GCP (NOT Azure) Orchestration, ideally with Airflow or Dagsta but open to others Data warehousing - Snowflake, Redshift, BigQuery (NOT Databricks) Terraform BENEFITS The successful Senior Data Engineer will receive the following benefits: Salary between £80,000 - £100,000 - depending on experience ...

implementing enterprise-scale data solutions Deep expertise in data modelling techniques with strong SQL proficiency Good knowledge of cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue, knowledge of Azure or GCP beneficial) and modern data engineering patterns including ETL/ELT Experience with data governance frameworks, data quality ...

Strong foundations in mathematics and analytical reasoning Strong hands-on experience with, programming & Analytics: Python, SQL, Scikit-learn, TensorFlow Data & Cloud: AWS (Athena, S3, Redshift), data warehousing, ETL pipelines Visualisation & Tools: Jupyter, Visual Studio Code, Microsoft Excel, dashboards and reporting solutions Development Environments: Linux/Ubuntu, Git/Bitbucket ...

workflows Confidence debugging and improving end to end LLM systems in live environments Experience working with modern data infrastructure such as Snowflake, BigQuery or Redshift Familiarity with graph databases and knowledge graphs, for example Neo4j, is highly desirable Comfortable in client facing environments, with the ability to work closely ...

pipelines on AWS Building and maintaining ML ready datasets to support model training, inference, and experimentation Improving data warehouse design and performance within AWS Redshift, including refactoring poorly structured data Integrating new and underused data sources to unlock additional value Supporting feature store development and data pipelines … Experience Strong commercial experience building production grade data pipelines using Python and SQL Hands on experience with AWS data services such as S3, Redshift, Glue, Athena, and streaming technologies like Kinesis Experience working with large scale, high velocity event data and understanding the trade offs around cost, performance ...