76 to 100 of 187 Amazon Redshift Jobs in the UK

analytical and problem-solving skills with the ability to interpret complex data and investment processes. Proficiency in: SQL - for data validation and exploration. AWS - particularly data services (e.g., S3, Redshift, Lambda). Python - for prototyping analytical tools and performing data analysis. Strong command of business analysis practices, including: Use case and workflow documentation Data mapping and transformation Acceptance criteria More ❯

Jenkins, SonarQube Terraform for infrastructure management Grafana, Elasticsearch, Kibana & New Relic for metrics, logs and monitoring In the company we also use: VueJS, MySQL, Spring Boot, Apache Camel, AWS Redshift, AWS SageMaker, Pentaho, Balena, Serverless functions Winnow has adopted a hybrid working model where employees come to the office two days a week and can choose to work from More ❯

role in designing and implementing data warehousing solutions using Snowflake and AWS. You will help drive the evolution of our data architecture as we move our North Star from Redshift to Snowflake. At Liberty, we deliver our customers peace of mind every day by helping them protect what they value most. Our passion for placing the customer at the … disruption that will redefine how people experience insurance. Key Responsibilities: • Design and implement scalable, secure, and cost-efficient data solutions on AWS, leveraging services such as Glue, Lambda, S3, Redshift, and Step Functions. • Lead the development of robust data pipelines and analytics platforms, ensuring high availability, performance, and maintainability. • Demonstrate proficiency in software engineering principles, contributing to the development … strong hands-on programming skills and software engineering fundamentals, with experience building scalable solutions in cloud environments (AWS preferred) • Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway • Solid foundation in software engineering principles, including version control (Git), testing, CI/CD, modular design, and clean code practices. Experience developing reusable components and APIs 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 ❯

Help redesign and modernise the existing data warehouse using ELT best practices. Migrate legacy ETL workflows to modern tools like Fivetran (or Airbyte) and dbt. Optimise data models in Amazon Redshift for performance, scalability, and cost-effectiveness. Replace legacy orchestration scripts with Python or Bash for enhanced automation. Enforce best practices for data quality, lineage, and documentation. Collaborate … Day Rate : £500 Remote-first culture - work from anywhere in the UK Skills and Experience 5+ years of hands-on experience designing and managing modern data warehouses (ideally in Redshift) Advanced SQL skills and strong understanding of data modelling (star/snowflake schemas) Deep expertise in dbt - including documentation, testing, and CI/CD Proficiency with Python or Bash More ❯

and Python skills for building and optimising data pipelines Experience working with cloud platforms (e.g., AWS, GCP, or Azure) Familiarity with modern data stack tools (e.g., dbt, Airflow, Snowflake, Redshift, or BigQuery) Understanding of data modelling and warehousing principles Experience working with large datasets and distributed systems What's in it for you? Up to £70k Hybrid working More ❯

re Looking For Strong technical foundation with proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses (BigQuery, Snowflake, Redshift). Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience More ❯

Have: 2+ years experience in an analytics or data consultancy role Proficiency in SQL and data modelling (preferably with dbt) Hands-on experience with cloud data warehouses (BigQuery, Snowflake, Redshift) Familiarity with BI tools (Looker, Power BI, Tableau, etc.) Excellent communication skills - able to simplify technical concepts for non-technical stakeholders Nice-to-Have: Experience working in client-facing More ❯

Azure SQL Tableau/Power BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift, Informatica, Qlik or similar are also useful and you will be tech curious, keen and open-minded to learning new skills. Experience in Oracle OBIEE and/or Oracle More ❯

and ability to work in a team-oriented environment. Nice to Have: - Familiarity with Microservices architecture and API development. - Knowledge of databases like Redis, PostgreSQL, and DWH (such as Redshift, Snowflake, etc.). We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here . Apply for this job indicates More ❯

hypothesis testing, regression, significance, p-value pitfalls) Ability to translate data into plain-English insights and present to C-level audiences Experience working in cloud data warehouses (Snowflake, BigQuery, Redshift) and version control (Git) What we can offer Bonus Hybrid working; meaning you'll be in our Farringdon office Tuesdays to Thursdays 25 days annual leave, plus the Bank More ❯

to-end data flow diagrams, logical data models, and entity relationship diagrams (ERDs). Design scalable, secure, and robust data architectures on AWS, incorporating services such as S3, Glue, Redshift, RDS, and Lambda. Work with stakeholders to understand business and data requirements and translate them into architectural blueprints. Ensure data architecture complies with government standards for security, interoperability, and More ❯

systems to monitor our infrastructure, detect and surface data quality issues. Recent projects the team has delivered: Refactoring of our MySQL Ingestion pipeline for reduced latency and 10x scalability. Redshift -> Snowflake migration Unified Local Analytics Development Environment for Airflow and DBT Building our next generation company metrics framework, adding anomaly detection and alerting, and enabling easier discovery and consumption. More ❯

SQL queries Automate pipelines using Python Leverage AWS for data and analytics Key Skills: 7–10 years in Data Warehousing & Analytics Expert in SQL & Python Strong AWS experience (e.g. Redshift, S3, Glue) Bonus: Finance domain, Power BI/Tableau More ❯

SQL queries Automate pipelines using Python Leverage AWS for data and analytics Key Skills: 7–10 years in Data Warehousing & Analytics Expert in SQL & Python Strong AWS experience (e.g. Redshift, S3, Glue) Bonus: Finance domain, Power BI/Tableau More ❯

experience. Expertise on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernization and creating new AI applications. Expertise on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligence, and reporting with integrated Data Security & Governance. Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs More ❯

to empower the team and partner teams. Help develop, upskill and empower team members through trainings and efficient knowledge management. Base qualifications: Experience in analysing and interpreting data with Redshift, Oracle, NoSQL etc. Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modelling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as More ❯

Azure SQL Tableau/Power BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift, Informatica, Qlik or similar are also useful and you will be tech curious, keen and open-minded to learning new skills. Experience in Oracle OBIEE and/or Oracle More ❯

Azure SQL Tableau/Power BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift, Informatica, Qlik or similar are also useful and you will be tech curious, keen and open-minded to learning new skills. Experience in Oracle OBIEE and/or Oracle More ❯

Strong understanding of data lifecycle management: ingestion, transformation, modelling, governance, and analytics enablement Experience working with modern data infrastructure and tooling (e.g. Airflow, Azure Data Factory, Databricks, Snowflake, DBT, Redshift) Able to navigate technical discussions with engineers and translate them into clear requirements for delivery Familiar with data quality and monitoring practices, data observability, schema standardization, and documentation workflows More ❯

which all pose different analytical challenges. - You work with some of the best tech in the industry, such as powerful Python instances for data analysis and machine learning and Redshift for data warehousing. - All our decisioning systems are built in-house, meaning that we have nearly unlimited flexibility in what we can implement. - You work in a wider cross More ❯

code and workflows, through its entire lifecycle Documenting any feature development Qualifications: Be capable to write high quality code in Scala or Java or Python Distributed datastores (e.g. DynamoDB, Redshift, AWS Athena) Experience building scalable web applications serving 10,000s of requests per second Experience working with RDBMS, ideally Postgres Ability to proactively find and solve complex problems independently 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 ❯