10 of 10 Amazon Redshift Jobs in Manchester

analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure).We ENABLE hybrid cloud transformation – You will implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance.We INNOVATE with AI-driven data solutions – You will ...

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 ...

MedTech, or related sectors preferred) Strong SQL and Python (or similar programming languages) Hands-on experience with modern data platforms (e.g. Snowflake, Databricks, BigQuery, Redshift) Experience working with cloud technologies (AWS, Azure, or GCP) Solid understanding of data modelling, warehousing, and pipeline development Experience handling sensitive or regulated data ...

architecture Requirements Minimum 1 year of hands-on experience with Python At least 1 year of experience working with AWS (e.g. S3, Lambda, Redshift, or similar services) Strong understanding of data engineering principles and data modelling Experience with SQL and relational databases Ability to work both independently ...

following skills and experience: Strong commercial experience in Python, SQL and cloud-based data engineering. Hands-on experience with AWS services such as Redshift, Athena, S3, Glue and ideally Kinesis. Understanding of streaming data, system performance and cost-efficient architecture. A proactive mindset with the confidence to identify ...

data warehousing principles Expertise in data and metadata management Thorough understanding of security standards and controls Experience working with cloud data warehouse technologies, ideally Amazon Redshift, Advanced SQL skills Experience in these areas would be helpful: Experience of Jira Version Control (GitHub) Experience with ABI tools (preferably Power ...

design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL pipelines that handle large volumes of data efficiently, with low latency. Location/WFH: You'll join a small ...

Senior Data Engineer - Manchester (Hybrid) - £80,000 + bonus The Company Our client is undergoing a significant digital transformation, modernising their data platform to better support high-volume, real-time products and analytics. This is ...

ROLE Key responsibilities include: Designing, building, and maintaining batch and streaming data ingestion pipelines for high-volume event data Improving and optimising the AWS Redshift data warehouse, including modelling, performance, and cost efficiency Refactoring poorly structured data into clean, well-governed, ML-friendly datasets Building pipelines to support … data infrastructure to billions of data points YOUR SKILLS AND EXPERIENCE You will bring strong capability in: Python and SQL AWS data infrastructure (S3, Redshift, Glue, Athena, Kinesis, Lambda) End-to-end ownership, from proof-of-concept through to production THE BENEFITS You will receive a salary ...

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 ...