76 to 100 of 135 Amazon Redshift Jobs in London

fast‐paced, distributed environment with both technical and non‐technical teams Nice to Have Experience with modern data warehousing platforms (e.g., Snowflake, Databricks, Redshift) and ability to optimize performance Experience automating BI administration through platform APIs, or identity and access through Okta, SCIM or role‐based access controls Experience ...

implement, and maintain Java-based APIs and microservices, including REST, OpenAPI, GraphQL, and gRPC services. Work with modern data technologies including PostgreSQL, MongoDB, and Amazon Redshift. Deliver reliable, performant, and responsive user interfaces aligned to UX designs, using Angular or React. Own solutions end-to-end, from technical design ...

Bring4+ years of professional experience building and shipping production-quality software. Strong SQL skills and real experience integrating with cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, or similar).Solid grounding in at least one of Java or Python, and willingness to be effective in both. A genuine DevOps mindset ...

resilient data solutions for clients in regulated environments. You’ll lead data ingestion, transformation and governance efforts, leveraging S3/Glue/Lambda/Redshift and related AWS services, while applying CI/CD and IaC practices to deployments. #J-18808-Ljbffr ...

designing and building data platforms and data architectures Hands on experience with design and build of cloud data warehouses Snowflake experience is desirable, though Redshift or Synapse are also suitable Experience with data orchestration tools such as Airflow or Prefect Strong coding ability in Python, Java, or Scala Experience ...

data pipelines – implement efficient, reliable systems for ingesting, processing, and serving financial data. Engineer Cloud-Native Solutions on AWS (Lambda, ECS/EKS, S3, Redshift, etc.) and automate deployments with GitHub Actions & Pulumi. Collaborate & Brainstorm with our engineering team – we frequently share ideas to innovate, plan strategy and decide ...

data lakehouse, event‐driven architectures, streaming, data mesh principles). Strong knowledge of one or more leading cloud data stacks (e.g. GCP BigQuery, AWS Redshift/Glue, Azure Synapse, Databricks, Snowflake). Experience designing data models for analytics and AI, and working with structured and unstructured data. Familiarity with ...

Code (TypeScript, Python, Java, etc) in support of Investment Portfolio Management and Construction Utilizing AWS technologies such as Lambda, API Gateway, DynamoDB, S3, Glue, Redshift, EMR, Sagemaker, EKS/ECS. Working in a team with experienced software engineers to identify great projects and features that will help you grow ...

environments simultaneously — not cloud-only. Multi-cloud platform depth (AWS and GCP): hands-on experience with data services across one or both of AWS (Redshift, Glue, S3/Lake Formation, MSK, RDS) and GCP (BigQuery, Dataflow, Pub/Sub, Cloud Composer). Data flow mapping and optimisation: demonstrable experience ...

using Fivetran, Airflow, DBT, or Databricks. Solid understanding of data modeling, dimensional design, and schema normalization at enterprise scale. Strong experience with AWS (S3, Redshift, Glue, Lambda) or GCP (BigQuery, Dataflow). Experience working with marketing or ad platform data (Google Ads, Meta, TikTok, DV360, Amazon Ads). ...

domain events to enable more efficient and real-time data processing Self-Service Analytics & Enablement Champion the adoption of generative AI features such as Amazon Q and Copilot to deliver intuitive analytics experiences Build sophisticated solutions to deliver actionable insights, with a strong focus on performance, scalability, and data … scalable, flexible modern data architectures Experience building modern data lake/lakehouse architectures (e.g., Apache Iceberg) in cloud environments Strong knowledge of AWS (S3, Redshift) or Azure data services Experience with ETL/ELT processes and data ingestion Proven expertise using transformation tools such as dbt Experience with data ...

systems (including forecasting and LLM-driven workflows) with monitoring, versioning and CI/CD Maintain and improve an AWS-native data platform (e.g., S3, Redshift, RDS, Athena, SageMaker, Lambda) Write and optimise complex SQL for analytics, reporting, modelling and downstream BI use Build and maintain integrations with internal services … fast-moving environment where you can have meaningful impact Nice to Have Experience with AWS services commonly used in modern data platforms (e.g., Redshift, Athena, SageMaker, Lambda) Prior experience supporting analytics and ML teams with data modelling and reliable datasets Mentoring experience (formal or informal) Package Salary ...

8+ years in Data Analytics, Data Science, or similar Advanced SQL and strong data modelling experience Experience with modern data warehouses (e.g. Snowflake, BigQuery, Redshift, Postgres) Experience working with cross-functional stakeholders Strong communication skills with ability to translate data into business insights Desirable Fintech or financial services experience ...

machine learning models for business application Experience with contextual bandits, off-policy evaluation and learning torank models Experience with AWS technologies such as CDK, Redshift, S3, AWS Glue,Sagemaker, Kinesis, FireHose, Lambda, and IAM roles and permissions. Preferredqualifications: Experience using Unix/Linux Experience in professional software development Experience ...

most important technical requirement for the role. You have experience with a cloud data warehouse; we use Google BigQuery, and experience with Snowflake, Redshift, or an equivalent is also relevant. You are fluent in Salesforce objects, reports, and dashboards. You have built dashboards and reports in a BI tool ...

Databricks or similar technologies would be advantageous. Data Platform Fluency: You have solid understanding of modern Data Platforms (such as Snowflake, Databricks, BigQuery, or Redshift) and the process of transforming raw data into a usable asset. Your Background We value curiosity, adaptability and a customer‐first mindset above ...

similar technologies would be advantageous. Data Platform Fluency: You have a solid understanding of modern Data Platforms (such as Snowflake, Databricks, BigQuery, or Redshift) and the process of transforming raw data into a usable asset. Your Background: We value curiosity, adaptability and a customer-first mindset above all else. ...

policy, claims, underwriting, billing, broker, customer, risk, or reinsurance data Knowledge of data lake, lakehouse, or modern analytics platforms such as Snowflake, Databricks, Redshift, Synapse, or Fabric. London Market insurance experience essential ...

work in a highly technical environment using Python and have the opportunity to contribute to high-performance architecture, cloud-based data platforms (AWS, Snowflake, Redshift), and streaming technologies (Kafka). Responsibilities Design and build scalable systems for risk analytics, stress testing, VaR, and multi-factor risk modeling across asset ...

outside France and the Nordics); if based in London, comfortable working from the office five days a week Bonus: experience with columnar databases (ClickHouse, Redshift, Snowflake) or general DevOps/infrastructure skills The company An alternative data and private market intelligence platform, giving investors real-time data ...

team capabilitiesNice to Have: Treasury, fintech, or payments domain knowledge (cash positioning, FX, liquidity).LLM observability tools: LangSmith, Arize, Weights & Biases. AWS (S3, Glue, Redshift, Lambda); TMS/financial data providers (Bloomberg, Kyriba).Startup, founder, or cross-functional multi-product experience. Our Benefits: Paid Vacation DaysHealth insuranceCommuter benefitEmployee Stock ...

similar products, Data processing and analytics platforms, such as Apache Spark, Apache Beam, or their derivatives, Data warehouses in the cloud, such as AWS Redshift, GCP BigQuery, and Azure Synapse etc. Nice-to-have: Experience with graph databases such as Neo4j or other SQL/NoSQL databases Experience ...

leveraging domain events to enable more efficient and real-time data processing Self-Service Analytics & EnablementChampion the adoption of generative AI features such as Amazon Q and Copilot to deliver intuitive analytics experiences Build sophisticated solutions to deliver actionable insights, with a strong focus on performance, scalability, and data … scalable, flexible modern data architectures Experience building modern data lake/lakehouse architectures (e.g., Apache Iceberg) in cloud environments Strong knowledge of AWS (S3, Redshift) or Azure data services Experience with ETL/ELT processes and data ingestion Proven expertise using transformation tools such as dbt Experience with data ...

lakehouses and data pipelines, and collaboration across global teams from a remote UK setting. You will work with a broad stack including AWS Glue, Redshift, EMR, Kinesis, and Python/PySpark to deliver real business impact for Fortune 1000 #J-18808-Ljbffr ...

Haves Direct experience selling customer data platforms, data integration, developer tools, cloud infrastructure, or AI infrastructure. Familiarity with technologies such as Snowflake, Databricks, BigQuery, Redshift, Kafka, dbt, or related modern data platforms. Experience selling infrastructure or consumption‐based software. Prior experience at a company navigating a major product ...