10 of 10 Amazon Redshift Jobs in West Sussex

large-scale datasets. Jupyter, Databricks, or notebooks-based workflows for experimentation. Data Access & Engineering Collaboration : Comfort working with cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery) Familiarity with data pipelines and orchestration tools like Airflow Work closely with Data Engineers to ensure model-ready data and scalable pipelines. Nice More ❯

AWS. Collaborate with engineering teams to ensure a smooth transition and system stability. Languages & Scripting: Python (primary scripting language for Lambda functions) SQL (BigQuery, Redshift) R (not essential but beneficial for interpreting existing scripts) Cloud & Infrastructure: AWS services including Lambda, API Gateway, S3, CloudWatch, Kinesis Firehose Terraform for infrastructure More ❯

Responsibilities develop, and maintain ETL/ELT data pipelines using AWS services Data, Databricks and dbt Manage and optimize data storage solutions such as Amazon S3, Redshift, RDS, and DynamoDB. Implement and manage infrastructure-as-code (IaC) using tools like Terraform or AWS CloudFormation. Monitor and optimize the More ❯

ideal candidate would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: Cloud (AWS, GCP, Azure) Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return they More ❯

assist with the continued scaling and optimisation of these. Their ideal candidate would have good knowledge within: Cloud (AWS, GCP, Azure) Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Consulting/Client Facing Experience In return they would be offering Free More ❯

environment is a strong advantage. Preferred Skills (Nice to Have) Data literacy (e.g., SQL, Tableau, Power BI, R, Smartsheet, Adobe Analytics, Google Analytics, AWS Redshift/Timestream). Experience in production engineering. Knowledge of SaaS tools, endpoint management, identity governance, or content management systems More ❯

drive customer loyalty? Expect to deep dive into customer segmentation, lifetime value, cohort behaviour , and funnel performance -all powered by a strong modern stack: Redshift, SQL, Python, and Looker . You'll thrive in this role if you: Love solving business problems with data Have strong SQL and some More ❯

primary, secondary, and tertiary sources. Cloud, Infrastructure, and Platform Engineering: Develop and deploy data workflows on AWS or GCP , using services such as S3, Redshift, Pub/Sub, or BigQuery. Containerize data processing tasks using Docker , orchestrate with Kubernetes , and ensure production-grade deployment. Collaborate with platform teams to … ensure scalability, resilience, and observability of data pipelines. Database Engineering : Write and optimize complex SQL queries on relational (Redshift, PostgreSQL) and NoSQL (MongoDB) databases. Work with ELK stack (Elasticsearch, Logstash, Kibana) for search, logging, and real-time analytics. Support Lakehouse architectures and hybrid data storage models for unified access More ❯

platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. Excellent consulting experience and ability … Ability to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Desirable Skills Designing Databricks based solutions for More ❯

Job Title: Data Engineering Manager Job Type: Full Time, Permanent Location: London, Hybrid Role Purpose At Travelex we are developing modern data technology and data products. Data is central to the way we define and sell our foreign currency exchange More ❯