101 to 125 of 187 Amazon Redshift Jobs in the UK

years of experience as a data analyst Strong analytical and problem-solving skills Experience with SQL, Excel, and/or Python Experience with AWS data related solutions including: Redshift, Glue, Athena, Aurora 2 days WFH/3 days in the office - Central London Office More ❯

experience. Expertise in Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernization and creating new AI applications. Expertise in 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 ❯

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 ❯

or consumer finance (pricing, underwriting, collections KPIs). Knowledge of marketing analytics (attribution basics, cohort/LTV, churn/retention). Exposure to cloud warehouses (Snowflake/BigQuery/Redshift) and dbt. Comfort working with messy partner data; building validation and reconciliation checks. Basic understanding of experimentation platforms and uplift modelling. Interview Process 1st Stage: Intro with Manager (CV More ❯

or consumer finance (pricing, underwriting, collections KPIs). Knowledge of marketing analytics (attribution basics, cohort/LTV, churn/retention). Exposure to cloud warehouses (Snowflake/BigQuery/Redshift) and dbt. Comfort working with messy partner data; building validation and reconciliation checks. Basic understanding of experimentation platforms and uplift modelling. Interview Process 1st Stage: Intro with Manager (CV More ❯

intelligence, or data-focused roles, ideally in a technical leadership capacity Deep proficiency in SQL (joins, CTEs, optimization) and experience working with large-scale datasets in BigQuery, Snowflake, or Redshift Strong Python skills for analytics, automation, and data manipulation (pandas, matplotlib, seaborn) Strong understanding of data modeling, governance, and performance tuning in cloud-based environments Proven ability to lead More ❯

Snr Data Engineer - Global Accounts, Professional Services, AWSI-SDT-APJ-Japan Job ID: Amazon Web Services Japan GK AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet … first organization. Key job responsibilities Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), S3, AWS Glue, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. Solutions - Deliver on-site technical engagements with partners … candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most More ❯

interested in building data and science solutions to drive strategic direction? Based in Tokyo, the Science and Data Technologies team designs, builds, operates, and scales the data infrastructure powering Amazon's retail business in Japan. Working with a diverse, global team serving customers and partners worldwide, you can make a significant impact while continuously learning and experimenting with cutting … working with large-scale data, excels in highly complex technical environments, and above all, has a passion for data. You will lead the development of data solutions to optimize Amazon's retail operations in Japan, turning business needs into robust data pipelines and architecture. Leveraging your deep experience in data infrastructure and passion for enabling data-driven business impact … with scientists, software engineers and business teams to identify and implement strategic data opportunities. Key job responsibilities Your key responsibilities include: - Create data solutions with AWS services such as Redshift, S3, EMR, Lambda, SageMaker, CloudWatch etc. - Implement robust data solutions and scalable data architectures. - Develop and improve the operational excellence, data quality, monitoring and data governance. BASIC QUALIFICATIONS - Bachelor More ❯

on event based architectures rather than traditional ETL methods Drive our cloud migration strategy - Contribute to the transition from GCP to AWS, migrating our data warehouse from BigQuery to Redshift, supporting our analysts, migrate our ETL from Dataform to dbt, while maintaining zero downtime for critical healthcare data Collaborate across teams to unlock data insights - Work closely with Platform … data infrastructure for scalability, reliability, and cost-effectiveness as we expand across multiple markets What Experience You'll Bring to the Team Cloud & Infrastructure: AWS - Hands-on experience with Redshift, S3, VPC networking, Lambda, and IAM configurations Data warehouse migration experience - Proven track record migrating large-scale systems (e.g., BigQuery Redshift) Infrastructure as Code - Experience with tools like 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 ❯

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 ❯

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 ❯

Data Engineer AWS Pyspark SQL Redshift Lambda London Remote **About the Role** The Data Engineer will play a pivotal role in organization by designing and implementing robust data pipelines that facilitate efficient data flow and management across various platforms. This position is essential for ensuring the integrity, reliability, and accessibility of our data, which supports critical business decisions and … drives insights. **Required Skills** - **Proficiency in PySpark and AWS:** You should have a strong command of both PySpark for data processing and AWS (Amazon Web Services) for cloud-based solutions. - **ETL Pipeline Development:** Demonstrated experience in designing, implementing, and debugging ETL (Extract, Transform, Load) pipelines is crucial. You will be responsible for moving and transforming data from various sources … designing data pipelines leveraging cloud-native services on AWS to ensure scalability and reliability in data handling. - **AWS Services:** Extensive knowledge of various AWS services, such as S3, RDS, Redshift, and Lambda, will be necessary for building and managing our data infrastructure. - **Terraform for Deployment:** Proficient in deploying AWS resources using Terraform, ensuring that infrastructure as code is implemented More ❯

Lead Data Engineer/Technical Architect in complex government or regulated environments. Strong background in Power BI , data modelling, and dashboard optimisation. Hands-on expertise with AWS (Athena/Redshift advantageous). Excellent stakeholder management – able to influence, challenge, and guide non-technical colleagues. Why this role? This is a chance to own the blueprint for a strategically critical More ❯

Lead Data Engineer/Technical Architect in complex government or regulated environments. Strong background in Power BI , data modelling, and dashboard optimisation. Hands-on expertise with AWS (Athena/Redshift advantageous). Excellent stakeholder management – able to influence, challenge, and guide non-technical colleagues. Why this role? This is a chance to own the blueprint for a strategically critical More ❯

Lead Data Engineer/Technical Architect in complex government or regulated environments. Strong background in Power BI , data modelling, and dashboard optimisation. Hands-on expertise with AWS (Athena/Redshift advantageous). Excellent stakeholder management – able to influence, challenge, and guide non-technical colleagues. Why this role? This is a chance to own the blueprint for a strategically critical More ❯

Lead Data Engineer/Technical Architect in complex government or regulated environments. Strong background in Power BI , data modelling, and dashboard optimisation. Hands-on expertise with AWS (Athena/Redshift advantageous). Excellent stakeholder management – able to influence, challenge, and guide non-technical colleagues. Why this role? This is a chance to own the blueprint for a strategically critical More ❯

Lead Data Engineer/Technical Architect in complex government or regulated environments. Strong background in Power BI , data modelling, and dashboard optimisation. Hands-on expertise with AWS (Athena/Redshift advantageous). Excellent stakeholder management – able to influence, challenge, and guide non-technical colleagues. Why this role? This is a chance to own the blueprint for a strategically critical 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 ❯

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 ❯

as internal tools that keep our community safe and our business efficient. We run a modern containerised stack in AWS using a mixture of database technologies (MySQL, DynamoDB, Redis, Redshift, Elasticsearch) to serve different workloads. Our architecture is event-driven and we're bringing increasingly more machine learning into the hotpath. Our platform ingests tens of millions analytic events More ❯

as internal tools that keep our community safe and our business efficient. We run a modern containerised stack in AWS using a mixture of database technologies (MySQL, DynamoDB, Redis, Redshift, Elasticsearch) to serve different workloads. Our architecture is event-driven and we're bringing increasingly more machine learning into the hotpath. Our platform ingests tens of millions analytic events More ❯