1 to 25 of 39 Amazon Redshift Jobs in the UK

people with extensive commercial experience with AWS Glue, developing Glue Jobs using PySpark and Python, AWS Glue Data Catalog, Crawlers, Workflows and triggers, Amazon S3 data lake implementation and management, AWS IAM roles, policies and security best practice. You will also need experience with several of the following: Amazon Redshift, AWS Lambda, Amazon Athena, Amazon RDS, Amazon EMR, Amazon EventBridge, Amazon Kinesis, AWS Step Functions, Amazon SQS/SNS and AWS CloudWatch. These roles are outside IR35 and will require you to be onsite 3 days a week. All candidates must ...

programming language. Experience with modern data engineering tools, such as dbt, Airflow or Spark. Experience with cloud data warehouses, such as Snowflake, BigQuery or Amazon Redshift. A solid understanding of data modelling, ETL/ELT and data quality. Knowledge of data governance, security and privacy. Confidence taking ownership ...

scripting preferred Strong Knowledge of all phases of the system development life cycle Experience with major database and big data platforms (e.g. RDS, Aurora, Redshift, Data bricks, MySQL, Oracle, PostgresSQL, Hadoop, Snowflake, etc.) Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.) Understanding of modern ...

scripting preferred Strong Knowledge of all phases of the system development life cycle Experience with major database and big data platforms (e.g. RDS, Aurora, Redshift, Data bricks, MySQL, Oracle, PostgresSQL, Hadoop, Snowflake, etc.) Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.) Understanding of modern ...

scripting preferred Strong Knowledge of all phases of the system development life cycle Experience with major database and big data platforms (e.g. RDS, Aurora, Redshift, Data bricks, MySQL, Oracle, PostgresSQL, Hadoop, Snowflake, etc.) Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.) Understanding of modern ...

designing and maintaining ETL/ELT pipelines Exposure to data warehousing, data lakes and modern data architecture Experience with cloud data platforms (AWS preferred - Redshift, Athena, S3, Glue. Azure accepted) Understanding of workflow orchestration and automation tools Python experience (including PySpark) is beneficial but not essential Exposure ...

ingestion and transformation. Pipeline & Analytics Tooling: Hands-on experience with modern data stacks such as Databricks , Azure Data Factory/Synapse , AWS Glue/Redshift , or Airflow/Stream Analytics . Engineering Best Practices: Proven track record applying software craftsmanship principles to data pipelines, including automated CI/ ...

strong grasp of software engineering principles applied to data (version control, automated testing, CI/CD).Strong background working with cloud analytics platforms (Redshift, BigQuery, Snowflake), transformation tools (dbt), and modern visualisation software (Omni, Looker, Tableau, Power BI).Experience establishing data governance and data quality standards.Experience driving self-serve ...

Strong expertise designing and implementing cloud-based data architectures, particularly within AWS environments. Deep technical knowledge of AWS services, including EC2, S3, RDS, Lambda, Redshift , and related data services. Proven experience designing secure architectures within sensitive or highly regulated environments. Hands-on experience with Apache Flink and real-time ...

Strong expertise designing and implementing cloud-based data architectures, particularly within AWS environments. Deep technical knowledge of AWS services, including EC2, S3, RDS, Lambda, Redshift , and related data services. Proven experience designing secure architectures within sensitive or highly regulated environments. Hands-on experience with Apache Flink and real-time ...

Integration & Ingestion – Skill Data Manipulation and Processing – Skill GITHUB, Action, Azure DevOps – Skill Data factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest – SkillOptional skills: Experience in project management, running a scrum team. Experience working with BPC, Planning. Exposure to working with external technical ecosystem. ...

data Have exposure to at least one cloud platform (AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc) Have experience with DataOps concepts Why join our client? Were building a culture where talented people can do meaningful ...

generative AI), plus the ability to communicate value to diverse audiences. Data Stack Knowledge - Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC).Hands-On Development - Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like pandas ...

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 ...

formats such as parquet, avro and JSON Write efficient SQL to query, validate and optimise data across cloud-based analytical platforms such as Athena, Redshift and Azure Synapse Build scalable data processing solutions using PySpark, Python and cloud-native orchestration services Implement data quality checks, validation processes, monitoring … encourage you to apply. AWS Glue, Lambda, Step Functions or Azure Data Factory, Synapse Pipelines, Azure Functions and Logic Apps PySpark SQL (Athena, Redshift, Azure Synapse SQL) AWS S3 or Azure Data Lake Storage Gen2 Python and/or Java ETL/ELT data pipeline development Data quality, validation ...

formats such as parquet, avro and JSON Write efficient SQL to query, validate and optimise data across cloud-based analytical platforms such as Athena, Redshift and Azure Synapse Build scalable data processing solutions using PySpark, Python and cloud-native orchestration services Implement data quality checks, validation processes, monitoring … encourage you to apply. AWS Glue, Lambda, Step Functions or Azure Data Factory, Synapse Pipelines, Azure Functions and Logic Apps PySpark SQL (Athena, Redshift, Azure Synapse SQL) AWS S3 or Azure Data Lake Storage Gen2 Python and/or Java ETL/ELT data pipeline development Data quality, validation ...

experience that makes complex energy systems simple, powerful and intuitive. You'll be building resilient, modular backend services, data models, data flows between Postgres, Redshift, analytics layers and APIs that underpin complex trading, billing and analytics platforms. There's a collaborative team environment where you'll input into technical … experience across the full development lifecycle You have expertise with backend Python, REST APIs and microservices You have a good knowledge of AWS including Amazon RedShift You have experience with PostgreSQL, DBT, data pipelines, ETL, data modelling, LLMs and agentic programming You have a good understanding of event ...

Code (TypeScript, Python, Java, etc) in support of Investment Portfolio Management and Construction Utilizing AWS technologies such as Lambda, API Gateway, DynamoDB, S3, Glue, Redshift, EMR, Sagemaker, EKS/ECS. Working in a team with experienced software engineers to identify great projects and features that will help you grow ...

modelling, database design, and advanced architectural patterns (e.g. Data Mesh, Data Lakehouse). Strong knowledge of the AWS cloud data service ecosystem, including S3, Redshift, Glue, Lake Formation, and IAM, and how they integrate into a cohesive solution. Extensive experience in defining and implementing enterprise data governance, security ...

Job ID: 10986Location: London, England, GBType: AnySalary: USD excellent per yearPosted: 2025-12-04Data & AI Senior ConsultantsLocation – We are flexible: onsite, hybrid or fully remote, depending on what works for you and the client ...

support analytics, AI and operational workloads. Leading cloud transformation initiatives, migrating legacy environments to modern data platforms including Snowflake, Databricks, BigQuery, Synapse, Redshift and other cloud-native technologies. Building Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) for AI and advanced analytics solutions, ensuring they align with business … least 6 years designing cloud-based data platforms using AWS, Azure or GCP. Hands-on expertise with technologies such as Snowflake, Databricks, Synapse, BigQuery, Redshift or similar enterprise data platforms. Strong knowledge of Infrastructure-as-Code, DevOps, CI/CD, networking, security and identity management for modern cloud environments. ...

data platforms and improve live service monitoring across a complex technical environment. Key responsibilities: Provide live support across Denodo, Talend, PDI, Git, MySQL and Amazon Redshift. Create and consolidate Grafana dashboards into a unified Live Service view, with drill-down functionality. Implement monitoring and alerting for legacy services where ...

Provide live service support across data platforms and integration technologies. Support and maintain environments utilising: Denodo, Talend, Pentaho Data Integration (PDI), Git, MySQL and Amazon Redshift. Design, create, and consolidate Grafana dashboards across multiple services. Develop a centralised live service view, enabling drill-down capability by individual service. Gather ...

large-scale data platform or data warehouse migration (cutover, reconciliation, parallel running, decommissioning) Deep, hands-on AWS data experience: Glue, Lambda, S3, Redshift and EMR Advanced Python, PySpark and SQL Production experience with Kafka or Amazon MSK, including Spark Structured Streaming Hands-on experience with Apache Iceberg ...

further What they're looking for: Previous experience as a Technical Lead (hands-on) Deep, hands-on AWS data experience: Glue, Lambda, S3, Redshift and EMR Advanced Python, PySpark and SQL Production experience with Kafka or Amazon MSK, including Spark Structured Streaming Hands-on experience with Apache Iceberg ...