10 of 10 Remote/Hybrid Amazon Redshift Jobs in London

their products (S3, GCS, Kinesis, Pub/Sub, Lambda/Cloud functions, DataProc) Experience with one of the main databases for analytics (Redshift, BigQuery, Snowflake or other). Nice to have Experience modelling and transforming data from event collection to report curation, especially for e-commerce or affiliate businesses ...

Experience Strong experience in a Data Engineering or similar role Expertise in distributed data architecture and orchestration Strong experience with AWS services (S3, Glue, Redshift, Lambda, Step Functions, Kinesis) Hands-on experience with tools such as Databricks or Snowflake Strong SQL and Python skills, including advanced query optimisation ...

data pipelines. Proficient SQL skills for data analysis, validation, and troubleshooting. Experience working with data warehouses, data lakes, or big data platforms (e.g., Snowflake, Redshift, BigQuery, Spark). Engineering Practices & Tooling Experience with CI/CD pipelines and automated build and deployment processes. Strong experience with version control systems ...

improvement of data architecture and workflows Skills and Experience Experience in a Data Engineering or similar role Strong experience with AWS services (S3, Glue, Redshift, Lambda, Step Functions, Kinesis) Hands-on experience with tools such as Databricks or Snowflake Strong SQL and Python skills, including advanced query optimisation ...

outcomes Key Skills & Experience Essential Proven experience as an Enterprise Data Architect within complex environments Strong expertise across the AWS data ecosystem , including: S3, Redshift, Glue, Lambda Kinesis/streaming architectures Athena, EMR Experience delivering cloud-native data platforms at enterprise scale Strong background within Banking/Financial Services ...

multiple projects simultaneously. Hands-on experience working with at least one OLAP-specific engine or analytical data warehouse technology (such as Apache Druid, ClickHouse, Amazon Redshift, Google BigQuery or Snowflake) to build scalable reporting solutions. Confidence can sometimes hold us back from applying for a job. ...

Essential Skills & Experience Active SC Clearance (must already be held) Strong hands-on experience with core AWS data services , including: AWS Glue Lambda S3 Redshift Strong programming skills in Python Solid working knowledge of SQL Experience with data warehouse and database technologies , including AWS Redshift ...

dimensional design Experience with cloud data warehouse platforms – Google BigQuery is the existing lakehouse technology; hands‐on experience with BigQuery or equivalent (Snowflake, Redshift, Databricks) is expected Ability to produce technology‐agnostic logical models and translate them into well‐reasoned implementation recommendations Proven ability to facilitate workshops with mixed ...

data storage, processing, and consumption, including lakehouse, data warehousing, and data lake patterns* Design technical architecture for cloud-based data platforms (AWS preferred: Redshift, Athena, S3, Glue)* Create and maintain architecture documentation, including data flow diagrams, architecture decision records, and design patterns## Technology Leadership & Innovation* Research, evaluate, and recommend … implementing enterprise-scale data solutions* Deep expertise in data modelling techniques with strong SQL proficiency* Comprehensive knowledge of cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue; Azure or GCP beneficial)* Strong understanding of modern data engineering patterns including ETL/ELT, data lake architectures, and lakehouse approaches* Understanding ...

domains within multi-team environments. Familiarity with observability, operational monitoring, CI/CD, and platform reliability practices. Experience with data technologies such as Airflow, Redshift, DynamoDB, MongoDB, or similar tooling. Interest in contributing to engineering culture, standards, and the wider technology community. TECH STACK: Our teams work across … domains. Technologies currently used across our teams include: Java/Spring Boot and TypeScript/JavaScript AWS services including MSK, Lambda, ECS, S3, DynamoDB, Redshift, and SQS Apache Kafka, Apache Flink, Airflow, Spark, and EventBridge SQL and NoSQL databases including Postgres, MongoDB, DynamoDB, and Timestream CI/ ...