76 to 100 of 206 Amazon Redshift Jobs

communicator - able to engage with both technical and non-technical colleagues. Nice to Have Skills Experience working with GCP (BigQuery) or other modern cloud-native data warehouses (e.g. Snowflake, Redshift). Familiarity with data pipelining and orchestration systems (e.g. Airflow). Understanding of modern analytics architectures and data visualisation tools (we use Preset.io/Apache Superset). Exposure to More ❯

lead on career development opportunities Ability to evangelize next-generation infrastructure in analytics space (batch, near real-time, real-time technologies), using both SAS components and AWS tooling (e.g., Redshift, SQS, Kinesis) Strong familiarity with spatial-temporal data sets, with exposure to maritime data preferred Experienced in evaluating, training, and communicating the performance of ML models (e.g., supervised models More ❯

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 ❯

production data systems. Advanced SQL skills and deep experience implementing complex business logic and performance-optimized transformations at scale. Expertise with modern cloud-based data platforms (e.g., Snowflake, BigQuery, Redshift) and experience managing large, distributed data environments. Strong understanding of data architecture and dimensional modeling principles, with a track record of designing enterprise-grade schemas. Proven ability to lead 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 ❯

Will Need To Have Strong experience designing secure data architectures in cloud environments (preferably AWS or Azure). Hands-on experience with database technologies such as MySQL, Oracle, and Amazon Redshift. Expertise in designing solutions that prioritise automation and reusability. Proficiency in creating high-level and low-level technical designs, specifications, and interface control documents. Knowledge of BI and 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 ❯

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 ❯

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 ❯

and a seasoned architect with solid knowledge of the current technology trends • Expertise in relational and non-relational databases, including Oracle, MS SQL, and modern cloud-based solutions (Snowflake, Redshift, etc.) • 7 to 10 years of experience with enterprise data architecture, database management, and data engineering • Proven experience leading a data transformation project(s) from concept to delivery • Deep 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 ❯