11 of 11 Remote/Hybrid Amazon Redshift Jobs in the UK excluding London

ability to write, read, and optimise complex queries across large datasets Experience working with a cloud data warehouse such as Snowflake (preferred), BigQuery, Redshift, or Synapse Experience working in a modern cloud environment (AWS, GCP, or Azure), with exposure to core services such as cloud storage and orchestration Experience ...

technical innovation across the business. Requirements: Proven experience designing and delivering cloud-native data engineering solutions. Strong expertise with Azure (Data Factory, Synapse), AWS (Redshift, Glue), or GCP (BigQuery, Dataflow). Experience contributing to cloud data architecture and technical solution design. Strong programming skills in Python, Scala, or Java. ...

data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What you can expect ð Work to agile best practices and cross-functionally with multiple teams and stakeholders. ...

data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What you can expect ð Work to agile best practices and cross-functionally with multiple teams and stakeholders. ...

Data Governance and Data Classification policies.Maintain data dictionary.Maintain business level data model.Recommending and introducing new technology where needed.Core:Cloud data platforms (e.g. Snowflake, BigQuery, Redshift)Data transformation technology such as DBTVisual Studio CodePythonCI automation systems such as JenkinsA git-based source control system such as BitBucketData Warehouse/Kimball ...

skills Essential Confident with SQL for querying, exploring and shaping data Working knowledge of at least one cloud data platform (for example Snowflake, BigQuery, Redshift, Databricks or Azure Synapse) A good understanding of the data lifecycle: ingestion, transformation (ETL or ELT), modelling and getting data into a usable state ...

enterprise-scale cloud data platforms and enjoy solving complex technical challenges. Youll must have: Strong commercial experience with AWS data technologies including S3, Glue, Redshift and Lake Formation. Experience designing or implementing Lakehouse architectures. Excellent Python and SQL development skills. Experience working with large-scale, high-volume or regulated ...

such as Salesforce Understanding of how declarative platform automation silently alter data post-import Experience in relational cloud-based database technologies like Snowflake, BigQuery, Redshift Understanding of cloud computing security concepts Familiarity with DBT and Databricks Experience working in an agile environment Experience working with AI tools (Claude Code ...

technical challenges You have a good knowledge of modern software engineering best practices, microservices, TDD/DDD, common Design Patterns Experience with Databricks, PostgreSQL, Amazon RedShift or MLflow would be great but not essential What's in it for you: As a Senior Machine Learning Engineer (Python ...

active SC clearance for this role.Desirable skills- Public sector or regulated industry experience (government, healthcare orsimilar)- Experience with modern data warehouse and lakehouse ecosystems (Redshift, Snowflake, Databricks, BigQuery, Synapse)- Familiarity with SQL and Python or Java- Experience with MLOps and Infrastructure as Code (Terraform, CloudFormation etc.) for data, analytics … approaches to IT and infrastructuredelivery- Cloud platform architecture certification, with a data or AI specialism beneficial- Certification in modern data warehouse/AI ecosystems (Redshift, Snowflake, Databricks etc.)- Experience using AI or Agentic techniques in application of the role through GitHub CoPilot, Claude Code, or equivalentBenefitsAlong with a great ...

standards, tooling choices, and architectural decisions to improve resilience and operability.What You Bring- Deep hands-on experience with cloud platforms, particularly Microsoft Azure and Amazon Web Services.- Advanced knowledge of containerisation and orchestration using Docker and Kubernetes.- Expert-level skills in CI/CD pipeline design using tools such … Infrastructure as Code, DevSecOps practices, and vulnerability management.- Experience with observability tools such as Splunk, Grafana, CloudWatch, or OpenTelemetry.- Familiarity with data platforms including Redshift, Databricks, and data pipeline orchestration with Azure Data Factory.- Excellent communication skills with the ability to influence technical direction across teams without formal authority. ...