24 of 24 Amazon Redshift Jobs in the UK excluding London

data team and design/build high-performing semantic models that will underpin Power BI and Microsoft Fabric reporting. Working with data held in Amazon Redshift, you'll create a logical, business-friendly data layer that enables accurate, scalable analytics across a complex organisation. This … create reliable and consistent analytical layers. Work with data engineers to understand underlying data structures and ensure models are built effectively on top of Amazon Redshift. Help shape how the organisation consumes data by creating a trusted, accessible reporting foundation. Skills & Experience Strong SQL development experience, with the ability ...

Cloud data warehousing - experience with Snowflake is highly desirable, but not essential . Experience with equivalent platforms such as Databricks, Azure Synapse, BigQuery or Redshift will also be considered. dbt - experience building data models, tests, incremental models and transformations would be advantageous. Python - data engineering, automation, ingestion and pipeline ...

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 ...

predictive and prescriptive insigh ts.ETL & Data Engineering: Experience designing scalable ETL/ELT pipelines using modern tools and framewor ks.Cloud Platforms: Familiarity with AWS (Redshift, Athena, S3) or Azure (Synapse, Data Lake, AD F).Data Governance: Understanding of GDPR, PII, and secure data management principl es.Communication: Strong data storytelling ...

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. ...

SkillsData Platforms: Experience in building & scaling data lakes, data warehouses, and associated data systems.Databases: SQL, PostgreSQL; MongoDB and cloud-based platforms (e.g. Snowflake, Databricks, Redshift).Semantic Layer: Design and implementation for governed reusable data views.Data Governance Tools: Collibra, Alation, Talend or equivalent.Expertise in ETL tools and processes (e.g., Apache ...

beneficial if you have experience/knowledge in:Advanced Looker capabilities, such as extensions, API usage, or embedded analyticsCloud data platforms (e.g., AWS Redshift, Snowflake, BigQuery)Analytics engineering practices and tools (e.g., dbt testing, CI/CD for LookML)Programming languages such as Python or RWorking on data transformation ...

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 ...

growStrong stakeholder engagement skills and ability to shape solutions from ambiguityCuriosity and a passion for turning data into meaningful business valueAdvantageousExperience working with AWS Redshift, dbt and DatabricksExperience with AI, M/L tooling and data preparation as well as data orchestration and cataloguingWhat you can expect from us...Meaningful ...

least one major cloud provider (AWS, Azure, or GCP).Hands-on expertise in scalable data pipelines and cloud data platforms like Snowflake, Databricks, Redshift, or BigQuery, alongside familiarity with the broader Matillion product estate.Disciplined use of AI tools across the delivery process with the ability to validate output, supported ...

security technologiesWhat we’re looking for6+ years’ experience in data architecture on complex, secure programmesStrong hands‐on AWS experience (EC2, S3, RDS, Lambda, Redshift); Azure or GCP a bonusProven experience using Apache Flink for real‐time, high‐throughput data processingExperience leading, mentoring and developing technical teamsConfident engaging with senior ...

developing data analytics and AI-driven solutions. Skilled in designing and automating data quality metrics and KPIs. Proficient with AWS (S3, Kinesis, Glue, Redshift, Lambda, EMR) and/or Azure (ADF, Synapse, Fabric, Functions). To be Considered.... Please either apply by clicking online or emailing me directly ...

What we're looking for 6+ years' experience in data architecture on complex, secure programmes Strong hands-on AWS experience (EC2, S3, RDS, Lambda, Redshift); Azure or GCP a bonus Proven experience using Apache Flink for real-time, high-throughput data processing Experience leading, mentoring and developing technical teams ...

data lakehouse architectures using Delta Lake, Apache Spark, or similar open-source frameworks Familiarity with AWS-native data services such as Glue, Lake Formation, Redshift, or Athena Exposure to data governance practices including cataloging, lineage tracking, and data access control at the platform layer AWS certification(s) in cloud ...

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 ...

with data lakehouse architectures using Delta Lake, Apache Spark, or similar open-source frameworksFamiliarity with AWS-native data services such as Glue, Lake Formation, Redshift, or AthenaExposure to data governance practices including cataloging, lineage tracking, and data access control at the platform layerAWS certification(s) in cloud architecture, data ...

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 ...

with “Top-Down”/“Schema-First” approach. Having experience in GraphQL is a significant plus. Relational Database (e.g. MySQL) and distributed database (e.g. AWS RedShift, Snowflake) Distributed systems Cloud infrastructure (e.g., AWS, GCP) Containerised development CI/CD Kubernetes Please note this is an onsite role, so you will ...

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. ...