26 to 36 of 36 Amazon Redshift Jobs in Central London

dashboards and reports using modern BI visualisation tools. Background in Consumer Finance or Retail Banking is a plus. Experience with cloud data environments (e.g. Redshift, Azure) welcomed. Knowledge of automation tools such as Airflow is beneficial. Excellent communication skills, confident engaging with senior stakeholders. Proactive, results-driven, and comfortable ...

with SAS and/or Python is beneficial. Prior background in Financial Services, Consumer Finance, or Retail Banking. Knowledge of Cloud-based databases (e.g., Redshift/Azure) or automation tools (e.g., Airflow). Compensation, Benefits, and Recruitment Timeline Salary: £40,000 Bonus Scheme: Annual bonus. Working Pattern: Hybrid – typically ...

once semantics -EventBridge for event routing and filtering Schema Management: Avro, Protobuf Schema Registry: compatibility, subject strategy, evolution AWS Data Stack: S3, Glue, Athena, Redshift Step Functions, Lambda Iceberg-ready lakehouse patterns Streaming Pipelines: Kinesis → S3 → Glue Glue Streaming DLQ patterns Minimum years of experience: > 10 years ...

bonus (e.g. React), but not a must-have • Experience with cloud platforms e.g. AWS, Azure, GCP - Google Cloud • Experience with data warehouses e.g. BigQuery, Redshift, Snowflake • Ability to work collaboratively • Open to new AI tools and technologies • Could come from roles like Senior Backend Engineer or Senior Full Stack ...

Skills: Analytical Tools: - EDA, Data Mining, Visualization (Plotly, Matplotlib, Seaborn) - Statistical & Multivariate Analysis Big Data: - Hadoop, MapReduce, HDFS, DataBricks, Spark, PySpark - DataLake Architecture, AWS Redshift, Kinesis, EMR Machine Learning - Supervised Models: Naïve Bayes, Logistic Regression, SVM, Linear Regression, KNN - Tree-Based Models: Decision Trees, Random Forest, Gradient Boosted Trees ...

processing. • Define the E2E Data architecture framework Required skills: Should have strong experience in AWS Data stack like S3/Lambda/Glue/Redshift etc., Should be able to do Schema Management Good experience in Payment platform and ISO 20022. Strong experience on streaming and EDA tools like … Scala/Python/SQL, IaC(Terraform), Glue/Spark, Lambda, CI/CD (Jenkins/Gitlab) Nice to have skills: - QuickSight/Tableau; Redshift tuning; ksqlDB/Flink; Aurora Postgres. - Edge/API constraints (Apigee/API-GW), webhook patterns. ...

Responsibilities: · Design, develop, and deploy microservices using Spring Boot on AWS EKS/Kubernetes . · Manage data storage and analytics pipelines using PostgreSQL and Amazon Redshift . · Build and maintain RESTful APIs for mobile and web applications. · Collaborate with mobile development teams (iOS and Android … application. · Work closely with cross-functional teams — including product, QA, and DevOps — to deliver robust features on time. Skills Needed : Spring Boot | Kubernetes | EKS | Redshift | Postgres | iOS/Android Native ...

Skills: Analytical Tools: EDA, Data Mining, Visualization (Plotly, Matplotlib, Seaborn) Statistical & Multivariate Analysis Big Data: Hadoop, MapReduce, HDFS, DataBricks, Spark, PySpark DataLake Architecture, AWS Redshift, Kinesis, EMR Machine Learning Supervised Models: Nave Bayes, Logistic Regression, SVM, Linear Regression, KNN, Tree-Based Models: Decision Trees, Random Forest, Gradient Boosted Trees ...

Utilize programming expertise in Python, Scala, and SQL for efficient data processing. Build data pipelines using cloud-native services on AWS, including Lambda, Glue, Redshift, and API Gateway. Monitor and optimise data solutions using AWS CloudWatch and other tools. What We’re Looking For: Proven hands-on experience … with Spark and Airflow Experience of designing data pipelines using cloud native services on AWS Extensive knowledge of AWS services like API Gateway, Lambda, Redshift, Glue, Cloudwatch, etc. Iac experience of deploying AWS resources using terraform Hands-on experience of setting up CI/CD workflows using GitHub Actions ...

routing and filtering. • Schema Management: Avro/Protobuf + Schema Registry (compatibility, subject strategy, evolution). • AWS Data Stack: S3/Glue/Athena, Redshift, Step Functions, Lambda; Iceberg-ready lakehouse patterns. Kinesis→S3→Glue streaming pipelines; Glue Streaming; DLQ patterns. • Payments & ISO 20022: PAIN/PACS/CAMT … Avro/Protobuf); backward/forward compatibility; event replay; mapping domain events to Kafka topics and Aurora tables. Nice-to-Have: - QuickSight/Tableau; Redshift tuning; ksqlDB/Flink; Aurora Postgres internals. - Edge/API constraints (Apigee/API-GW), mTLS/webhook patterns. ...

growth, coaching, and high-quality delivery. Set technical direction across Python services, distributed systems, and large-scale data processing. Work heavily with AWS — especially Redshift, Lambda, ECS, S3 , plus data formats like Parquet . Shape high-throughput data pipelines and SQL-based workflows , ensuring scalability and performance. Run technical … Collaborate with Product & Design to define technical requirements, prioritise roadmaps, and drive measurable outcomes. Tech Environment You’ll Influence Primary language: Python AWS stack: Redshift, Lambda, ECS, S3 Data workflows: Parquet, SQL, distributed data pipelines Scale: systems processing hundreds of millions to billions of rows Focus areas: performance tuning ...