26 to 50 of 59 Amazon Redshift Jobs in the UK excluding London

data storage and retrieval for performance Work with batch and real-time processing frameworks Implement and manage ETL processes Use tools like Python, SQL, Spark, Airflow, Kafka, dbt, Snowflake, Redshift, BigQuery Requirements Bachelors degree in Computer Science, Engineering, or a related field 1+ year in a Data Engineer or similar role Proficiency in SQL and Python (or another scripting More ❯

improve our technology stack. Develop oneself into a Subject Matter Expert (SME) on Technical and Functional domain areas. What we value Demonstrated experience in Python, PySpark and SQL (AWS Redshift, Postgres, Oracle). Demonstrated experience building data pipelines with PySpark and AWS. Application development experience in financial services with hands on designing, developing, and deploying complex applications.Demonstrated ability to More ❯

Mentor junior consultants Build strong customer relationships Support managed services as required Essential Requirements 3+ years consulting/managed services experience Solid Data Lake experience with AWS data solutions (Redshift, Glue, Athena, Lake Formation) Advanced AWS skills (EC2, S3, VPC, IAM, Lambda) Infrastructure as Code experience (CloudFormation/Terraform) AWS Solutions Architect Associate certification Strong communication and presentation abilities More ❯

data-focused SRE, Data Platform, or DevOps role*Strong knowledge of Apache Flink, Kafka, and Python in production environments*Hands-on AWS experience with AWS (Lambda, EMR, Step Functions, Redshift, etc.)*Comfortable with monitoring tools, distributed systems debugging, and incident response Reference Number: BBBH259303 To apply for this role or for to be considered for further roles, please click More ❯

consultants. Knowledge and Skills: Knowledge • Broad data management technical knowledge so as to be able to work across full data cycle. • Proven Experience working with AWS data technologies (S3, Redshift, Glue, Lambda, Lake formation, Cloud Formation), GitHub, CI/CD • Coding experience in Apache Spark, Iceberg or Python (Pandas) • Experience in change and release management. • Experience in Database Warehouse … procedures. Technical Essentials: • Expertise across data warehouse and ETL/ELT development in AWS preferred with experience in the following: • Strong experience in some of the AWS services like Redshift, Lambda,S3,Step Functions, Batch, Cloud formation, Lake Formation, Code Build, CI/CD, GitHub, IAM, SQS, SNS, Aurora DB • Good experience with DBT, Apache Iceberg, Docker, Microsoft BI More ❯

secure handling and movement of data across enterprise environments Desirable Knowledge of data storage systems, including RDBMS (e.g., MySQL, PostgreSQL), NoSQL (e.g., MongoDB, Cassandra), and data warehouse solutions (e.g., Amazon Redshift, Google BigQuery) Familiarity with data exchange technologies and protocols such as APIs, ETL processes, and data replication Understanding of cloud storage services offered by AWS, Microsoft Azure More ❯

Advanced SQL AWS MLOps tooling (e.g., MLflow, SageMaker, or similar) Bonus Points For: Knowledge of LLMs, RAG pipelines, prompt engineering, or agentic interfaces Experience with data warehouse tools (Snowflake, Redshift, BigQuery) Familiarity with search, matching, or recommendation systems Soft Skills: Independent, highly communicative, and comfortable working directly with senior leadership and commercial stakeholders Interview Process Screening conversation with hiring More ❯

Advanced SQL AWS MLOps tooling (e.g., MLflow, SageMaker, or similar) Bonus Points For: Knowledge of LLMs, RAG pipelines, prompt engineering, or agentic interfaces Experience with data warehouse tools (Snowflake, Redshift, BigQuery) Familiarity with search, matching, or recommendation systems Soft Skills: Independent, highly communicative, and comfortable working directly with senior leadership and commercial stakeholders Interview Process Screening conversation with hiring More ❯

or insurance. Strong technical skills in Python or R, and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with 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 ❯

the global energy markets into a reality. You would work as part of a team on a cutting-edge Microservices architecture and using TypeScript/Express/AWS Lambdas, Redshift, MySQL, MongoDB and Micro-frontends built on React. This will allow you to take responsibility for solutions from design to deployment. You will be working with processes and tooling More ❯

data modelling, metadata management, and data governance Strong SQL experience is essential Strong data mapping experience Strong Data-warehousing and design principals experience Familiarity with cloud platforms (e.g., AWS Redshift) Background in finance-related data environments is advantageous. **Please apply if you have the above skill-set** Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an More ❯

and product funnel performance Present findings to senior stakeholders and help define next steps Improve profitability and efficiency across user journeys - both customer and partner side Tools & Environment: SQL , Redshift , Looker Collaborative product-focused teams, embedded in a modern data stack What we're looking for: Solid experience in analytics or data roles within a fast-paced tech or More ❯

Employer description: Matillion is a fast-growing, cloud-native data integration and transformation company, enabling businesses to build and scale data pipelines across platforms like Snowflake, BigQuery, Redshift, Databricks, and Synapse. With global offices we support leading brands like Cisco, Slack, and TUI in turning data into actionable insight. Recognized as a great place to work in both the More ❯

ideal candidate must have: Strong experience as an AWS Data Engineer Software Engineering background Coding lanuguages Java, Scala, C# or Python Lead the design and implementation of Snowflake [and Redshift] based data warehousing solutions within an AWS environment Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway Develop and optimize ETL processes using More ❯

UNIX) and familiarity with AWS RDS would be an advantage Focus on troubleshooting, planning and mitigating risk Identify service improvements and efficiencies Desirable skills for this role are: AWS Redshift (Operational Management) Financial services experience is desirable About us We're one of the largest building societies in the UK and we share a mutual goal across our branches More ❯

stakeholders. Ability to influence engineering teams and platform stakeholders through advisory leadership and practical guidance. Experience with data stored and processed in cloud-based platforms, preferably in AWS (e.g., Redshift, S3, AWS Glue). Knowledge of designing and implementing RBAC and ABAC in modern data platforms. DESIRABLE BUT NOT REQUIRED: Management and stewardship of Data Products, ideally with a More ❯

stakeholders. Ability to influence engineering teams and platform stakeholders through advisory leadership and practical guidance. Experience with data stored and processed in cloud-based platforms, preferably in AWS (e.g., Redshift, S3, AWS Glue). Knowledge of designing and implementing RBAC and ABAC in modern data platforms. DESIRABLE BUT NOT REQUIRED: Management and stewardship of Data Products, ideally with a More ❯

stakeholders. Ability to influence engineering teams and platform stakeholders through advisory leadership and practical guidance. Experience with data stored and processed in cloud-based platforms, preferably in AWS (e.g., Redshift, S3, AWS Glue). Knowledge of designing and implementing RBAC and ABAC in modern data platforms. DESIRABLE BUT NOT REQUIRED: Management and stewardship of Data Products, ideally with a More ❯

AWS Data Engineer - Manchester - Hybrid - £75,000 We're working with a global insurance company that's redefining the industry through technology. As a key end user of AWS, they're leveraging cloud-native solutions and advanced analytics to transform More ❯

AWS Data Engineer - Manchester - Hybrid - £75,000 We're working with a global insurance company that's redefining the industry through technology. As a key end user of AWS, they're leveraging cloud-native solutions and advanced analytics to transform More ❯

Athena and MSSQL A good understanding of methods for data manipulation, analysis, and automation tasks. Experience with Microsoft SSIS ETL pipelines. Experience with AWS tools such as S3, Glue, Redshift, Lambda, and Athena for building scalable data pipelines and architectures. Experience in developing dashboards and reports using MicroStrategy and\or Amazon QuickSight or similar. Strong analytical skills to More ❯

mentored by a friendly development team, and the BBC will provide many opportunities for learning as you progress. We create and support reliable and scalable cloud-based services on Amazon Web Services, use GitHub for version control and practice pair programming and Test-Driven Development where possible. Hands-on experience with Python development and an understanding of software engineering … best practices (e.g., TDD, clean code principles). Experience of AWS services such as SageMaker, S3, EC2, VPC, Lambda, Redshift Experience of DevOps practices, including containerisation with Docker and CI/CD pipelines. Exposure to MLOps tools (e.g., MLFlow) and practices, with a willingness to learn more. Exposure to infrastructure-as-code tools (CDK, CloudFormation) Knowledge of feature engineering More ❯

our in-house GPU cluster. Orchestrate Workflows with Apache Airflow: schedule, monitor, and maintain complex data and model pipelines. Engineer Cloud Services on AWS (Lambda, ECS/EKS, S3, Redshift, etc.) and automate deployments using GitHub Actions & Pulumi. Collaborate & Brainstorm with our engineering team we frequently communicate ideas to innovate, plan strategy and decide on next steps. Own Your … proactive, resourceful, ambitious, driven to innovate, eager to learn, and comfortable wearing multiple hats in a fast-moving environment. Desirable: hands-on experience with Apache Airflow, AWS services (especially Redshift, S3, ECS/EKS), and IaC tools like Pulumi. Why Permutable AI? Hybrid Flexibility: Spend 2+ days/week in our Vauxhall hub. Real Responsibility: From day one, your More ❯

the data platform, including data pipelines, orchestration and modelling. Lead the team in building and maintaining robust data pipelines, data models, and infrastructure using tools such as Airflow, AWS Redshift, DBT and Looker.Ensuring the team follows agile methodologies to improve delivery cadence and responsiveness. Contribute to hands-on coding, particularly in areas requiring architectural input, prototyping, or critical delivery … Strong mentoring skills and ability to foster team growth and development Strong understanding of the data engineering lifecycle, from ingestion to consumption Hands-on experience with our data stack (Redshift, Airflow, Python, DVT, MongoDB, AWS, Looker, Docker) Understanding of data modelling, transformation, and orchestration best practices Experience delivering both internal analytics platforms and external data-facing products Knowledge of More ❯