76 to 100 of 113 Amazon Redshift Jobs in the UK excluding London

issues and tuning environments Follow and enforce technical best practices throughout all project phases Required Skills: Strong Application development experience in Scala/Python Strong Database SQL experience, preferably Redshift Experience in Snowflake is an added advantage Experience with ETL/ELT process and frameworks is a must What is in it for you: Be part of the fastest More ❯

issues and tuning environments Follow and enforce technical best practices throughout all project phases Required Skills: Strong Application development experience in Scala/Python Strong Database SQL experience, preferably Redshift Experience in Snowflake is an added advantage Experience with ETL/ELT process and frameworks is a must What is in it for you: Be part of the fastest More ❯

Key Requirements About You Proficient in SQL, with experience querying and transforming large datasets across marketing, sales, and customer data sources. Comfortable working with modern data stacks, ideally including Redshift, BigQuery, Matillion, Metabase, and Retool. Strong grasp of performance marketing metrics such as ROAS, CAC, CTR, CPM, and attribution models. Experienced in building dashboards and visualisations that enable data More ❯

times and promotes these both internally and externally. Takes ownership of own personal and professional development Qualifications and skills Required Leveraging Open Source stacks, utilising Python and MySQL , DynamoDB ,Redshift at a senior engineering level. Commercial experience of software development within AWS (IaaS & PaaS) Experience of writing high performance enterprise scale applications Thorough experience of Object-Oriented concepts within More ❯

times and promotes these both internally and externally. Takes ownership of own personal and professional development Qualifications and skills Required Leveraging Open Source stacks, utilising Python and MySQL , DynamoDB ,Redshift at a senior engineering level. Commercial experience of software development within AWS (IaaS & PaaS) Experience of writing high performance enterprise scale applications Thorough experience of Object-Oriented concepts within More ❯

times and promotes these both internally and externally. Takes ownership of own personal and professional development Qualifications and skills Required Leveraging Open Source stacks, utilising Python and MySQL , DynamoDB ,Redshift at a senior engineering level. Commercial experience of software development within AWS (IaaS & PaaS) Experience of writing high performance enterprise scale applications Thorough experience of Object-Oriented concepts within More ❯

Contract Role – Data AWS Engineer – Northampton/Hybrid – 6 months – Inside IR35 7+ years of experienced in designing, building, and maintaining data pipelines and architectures on the Amazon Web Services (AWS) cloud platform. Skilled in scalable, reliable, and efficient data solutions, often using AWS services like S3, Redshift, EMR, Glue, and Kinesis. This involves designing ETL processes, ensuring … Staying up-to-date with the latest AWS services and technologies to improve data engineering solutions. Key Skills: AWS Services: Strong understanding and experience with AWS services like S3 , Redshift, EMR, Glue , Kinesis, and Lambda. Programming Languages: Proficiency in programming languages like Python or Java, used for designing and building data pipelines. SQL: Knowledge of SQL for querying and More ❯

practical, scalable solutions that make a real impact. Key Responsibilities Design, build, and maintain robust, scalable ETL/ELT pipelines using tools such as Airflow and AWS services (S3, Redshift, Glue, Lambda, Athena). Integrate new data sources and continuously optimise performance and cost efficiency. Ensure data quality, integrity, and security across all systems. Maintain clear documentation for data … resolving issues efficiently. Stay up to date with new tools and trends in data engineering, particularly within the AWS ecosystem. Skills & Experience Strong hands-on experience with AWS (S3, Redshift, Glue, Lambda, Athena). Skilled in Airflow for workflow orchestration. Advanced SQL and proficient in Python for data engineering. Experience with data modelling (e.g. dimensional) and familiarity with NoSQL More ❯

in either Java, Golang (Go), Python or Scala – multiple would be even better! • Experience with cloud platforms e.g. AWS, Azure, GCP - Google Cloud • Experience with data warehouses e.g. BigQuery, Redshift, Snowflake • Ability to work collaboratively • Open to new AI tools and technologies • Could come from roles like Senior Backend Engineer or Senior Full Stack Engineer They offer a great More ❯

in either Java, Golang (Go), Python or Scala – multiple would be even better! • Experience with cloud platforms e.g. AWS, Azure, GCP - Google Cloud • Experience with data warehouses e.g. BigQuery, Redshift, Snowflake • Ability to work collaboratively • Open to new AI tools and technologies • Could come from roles like Senior Backend Engineer or Senior Full Stack Engineer They offer a great More ❯

in either Java, Golang (Go), Python or Scala – multiple would be even better! • Experience with cloud platforms e.g. AWS, Azure, GCP - Google Cloud • Experience with data warehouses e.g. BigQuery, Redshift, Snowflake • Ability to work collaboratively • Open to new AI tools and technologies • Could come from roles like Senior Backend Engineer or Senior Full Stack Engineer They offer a great More ❯

Experience using SAP Business Objects (Data Services, Information Design Tool) is essential. Minimum of 3+ years’ experience in reporting, MI, or BI development roles. Strong SQL expertise (MySQL preferred; Redshift a bonus). Proven experience creating dashboards and BI reports. Understanding of ETL processes and data integration from multiple sources. Confident communicator and collaborator within Agile environments. Experience with More ❯

GCP, or Azure). Bonus points for: Familiarity with ML frameworks (PyTorch, Jupyter). Knowledge of cloud monitoring tools (Prometheus, Grafana). Experience with cloud-based databases (RDS, Aurora, Redshift, Spanner, etc.). Exposure to CI/CD pipelines (e.g., CircleCI). What's on offer: The chance to shape the future of 3D AI technology . A collaborative More ❯

reporting Develop robust, reusable data pipelines (API, flat-file, EDI) from supplier portals and internal systems (ERP, finance, CRM, operations) into a central warehouse (e.g., Snowflake/BigQuery/Redshift) Implement transformation and modelling layers (e.g., dbt) with well-documented, tested datasets (staging, marts) that map to key business domains (orders, jobs, invoices, suppliers, credit control) Establish data quality More ❯

reporting Develop robust, reusable data pipelines (API, flat-file, EDI) from supplier portals and internal systems (ERP, finance, CRM, operations) into a central warehouse (e.g., Snowflake/BigQuery/Redshift) Implement transformation and modelling layers (e.g., dbt) with well-documented, tested datasets (staging, marts) that map to key business domains (orders, jobs, invoices, suppliers, credit control) Establish data quality More ❯

related domains is highly desirable. Preferred Experience Engineering team lead experience Experience working on multiple projects at the same time Experience with big data analytical systems such as BigQuery, Redshift, Snowflake, Databricks, SingleStore, etc. Experience working with vulnerability scanning technologies on any part of the tech stack (e.g., SCA, SAST, DAST, IAST, VM Scanning, Container, etc.) Experience maintaining applications More ❯

governance, and performance. Drive the introduction of automation tools and integrate them into CI/CD pipelines. Validate BI solutions across Power BI, Qlik, and AWS data platforms (S3, Redshift, Athena, etc.). Oversee end-to-end testing for data platforms, ensuring reliability, scalability, and compliance. Work closely with developers, analysts, and business teams to align QA priorities with … QA practices. Main Skills Needed: Proven experience in BI and data platform testing, including ETL, data warehouse, and reporting validation. Strong hands-on knowledge of AWS data tools (Glue, Redshift, Athena, EMR, Lambda). Confident with Power BI, SQL, Python/PySpark, and QA automation tools. Solid grasp of data governance, GDPR, and data quality standards. Background in Agile More ❯

governance, and performance. Drive the introduction of automation tools and integrate them into CI/CD pipelines. Validate BI solutions across Power BI, Qlik, and AWS data platforms (S3, Redshift, Athena, etc.). Oversee end-to-end testing for data platforms, ensuring reliability, scalability, and compliance. Work closely with developers, analysts, and business teams to align QA priorities with … QA practices. Main Skills Needed: Proven experience in BI and data platform testing, including ETL, data warehouse, and reporting validation. Strong hands-on knowledge of AWS data tools (Glue, Redshift, Athena, EMR, Lambda). Confident with Power BI, SQL, Python/PySpark, and QA automation tools. Solid grasp of data governance, GDPR, and data quality standards. Background in Agile More ❯

governance, and performance. Drive the introduction of automation tools and integrate them into CI/CD pipelines. Validate BI solutions across Power BI, Qlik, and AWS data platforms (S3, Redshift, Athena, etc.). Oversee end-to-end testing for data platforms, ensuring reliability, scalability, and compliance. Work closely with developers, analysts, and business teams to align QA priorities with … QA practices. Main Skills Needed: Proven experience in BI and data platform testing, including ETL, data warehouse, and reporting validation. Strong hands-on knowledge of AWS data tools (Glue, Redshift, Athena, EMR, Lambda). Confident with Power BI, SQL, Python/PySpark, and QA automation tools. Solid grasp of data governance, GDPR, and data quality standards. Background in Agile More ❯

governance, and performance. Drive the introduction of automation tools and integrate them into CI/CD pipelines. Validate BI solutions across Power BI, Qlik, and AWS data platforms (S3, Redshift, Athena, etc.). Oversee end-to-end testing for data platforms, ensuring reliability, scalability, and compliance. Work closely with developers, analysts, and business teams to align QA priorities with … QA practices. Main Skills Needed: Proven experience in BI and data platform testing, including ETL, data warehouse, and reporting validation. Strong hands-on knowledge of AWS data tools (Glue, Redshift, Athena, EMR, Lambda). Confident with Power BI, SQL, Python/PySpark, and QA automation tools. Solid grasp of data governance, GDPR, and data quality standards. Background in Agile More ❯

Data QA Engineer – Remote-first - £55-65,000 Overview: As a Data QA Engineer, you will ensure the reliability, accuracy and performance of our client’s data solutions. Operating remotely, you will work closely with Data Engineers, Architects and Analysts More ❯

years of experience building software professionally Strong proficiency in Go, with 3+ years of production-level experience building backend systems in Go Experience with SQL, Postgres/Redshift, and building analytics queries Experience building distributed backend services and robust APIs ensuring high performance and scalability Experience with software development via distributed development teams Comfort working in an open source More ❯

practices. You'll have deep experience in: Languages & Frameworks: TypeScript, Node.js, PHP (Laravel/Nova), React, React Native, Python, SQL, Postgres, Redis. Cloud & Infrastructure: AWS (ECS, IoT Core, Lambda, Redshift, Cognito) and GCP (BigQuery, Firebase, Cloud Functions, Pub/Sub). Tools & Processes: Git, Postman, JIRA, Confluence, and automated testing tools. About You 5+ years in software development, with More ❯

practices. You ll have deep experience in: Languages & Frameworks: TypeScript, Node.js, PHP (Laravel/Nova), React, React Native, Python, SQL, Postgres, Redis. Cloud & Infrastructure: AWS (ECS, IoT Core, Lambda, Redshift, Cognito) and GCP (BigQuery, Firebase, Cloud Functions, Pub/Sub). Tools & Processes: Git, Postman, JIRA, Confluence, and automated testing tools. About You 5+ years in software development, with More ❯

practices. You’ll have deep experience in: Languages & Frameworks: TypeScript, Node.js, PHP (Laravel/Nova), React, React Native, Python, SQL, Postgres, Redis. Cloud & Infrastructure: AWS (ECS, IoT Core, Lambda, Redshift, Cognito) and GCP (BigQuery, Firebase, Cloud Functions, Pub/Sub). Tools & Processes: Git, Postman, JIRA, Confluence, and automated testing tools. About You 5+ years in software development, with More ❯