1 to 25 of 179 Amazon Redshift Jobs in the UK

maintaining cloud-based platforms and infrastructure, with a focus on AWS. Hands on experience with AWS, including practical delivery across core services such as Amazon EC2, Amazon EKS, Amazon RDS, Amazon Redshift, Amazon S3, Amazon VPC, AWS Identity and Access Management … identity management in cloud environments, including AWS-specific best practices. Familiarity with monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, the ELK stack, Amazon CloudWatch, and AWS X-Ray). Experience with version control systems (e.g., Git) and scripting languages (e.g., Python, Bash, Go). Ability to troubleshoot ...

infrastructure and platform solutions. Foundational understanding of AWS services, cloud infrastructure and modern engineering practices. Experience with one or more AWS services such as Amazon EC2, Amazon S3, Amazon RDS, Amazon VPC, AWS IAM or AWS Lambda. Understanding of Infrastructure as Code principles and tools such … hybrid and multi-cloud architectures, including the integration of on-premises environments with AWS. Awareness of AI and machine learning services on AWS, including Amazon SageMaker, Amazon Bedrock and Amazon Q Business. Awareness of AWS billing, cost management and optimisation services, including AWS Cost Explorer ...

complex datasets. Experience working across both AWS and Microsoft Azure environments. Databases & SQL Strong hands‐on experience with: MySQL Microsoft SQL Server Oracle Amazon Redshift Amazon Athena Excellent SQL development, optimisation, and troubleshooting skills. AWS Technologies Strong practical experience with: AWS Glue Amazon Athena Amazon Redshift Amazon S3 AWS Lambda AWS Step Functions Amazon QuickSight Strong practical experience with: Microsoft Fabric Strong knowledge of: ETL and ELT design patterns Data Warehousing Data Lake and Lakehouse architectures Data Profiling Data Quality Management Data Validation and Reconciliation Additional Information We pride ourselves ...

complex datasets. Experience working across both AWS and Microsoft Azure environments. Databases & SQL Strong hands-on experience with: MySQL Microsoft SQL Server Oracle Amazon Redshift Amazon Athena Excellent SQL development, optimisation, and troubleshooting skills. AWS Technologies Strong practical experience with: AWS Glue Amazon Athena Amazon Redshift Amazon S3 AWS Lambda AWS Step Functions Amazon QuickSight Strong practical experience with: Microsoft Fabric Strong knowledge of: ETL and ELT design patterns Data Warehousing Data Lake and Lakehouse architectures Data Profiling Data Quality Management Data Validation and Reconciliation Additional Information We pride ourselves ...

that fuel analytics, AI/ML, and data-driven operations.* Design and build high-performance data integration solutions: Use AWS Glue, AWS Step Functions, Amazon EventBridge, and AWS Database Migration Service (DMS) to orchestrate ingestion, transformation, and movement of data across on-premises and cloud sources into Amazon … Design and oversee the delivery of secure lakehouse and warehouse architectures: Implement logical and physical data models, data quality controls, and governance practices using Amazon S3 (data lake), AWS Lake Formation, Amazon Redshift, and Amazon Athena to ensure trusted data.* Ability to design AI/ ...

Data Factory.* Azure Data Engineer Associate and Databricks Certified Data Engineer Professional**AWS*** Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions.* Programming Skills: Strong experience … Scala & Pyspark.* Expertise in Data Storage Technologies: In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop.* Experience with AWS Data Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both ...

source-code management. Strong troubleshooting and problem-solving skills. AWS Experience Candidates should have practical experience with relevant AWS data services, such as: Amazon S3 AWS Glue Amazon Redshift AWS Lambda Amazon Athena Amazon RDS AWS IAM Amazon CloudWatch Experience with services such … Kinesis, EMR, Step Functions or MWAA/Airflow would be advantageous. AWS data engineering roles commonly use services such as S3, Glue, Redshift, Lambda, Kinesis and IAM for data platforms and pipelines. Power BI Experience Power BI Desktop and Power BI Service. Dashboard and report development. Data modelling ...

shape how critical financial information flows through the organisation. Responsibilities: Build scalable ETL and ELT pipelines within AWS Develop and optimise data models in Amazon Redshift Create and manage workflows using Apache Airflow Integrate NetSuite and other Finance data sources Establish trusted data-quality, monitoring and validation processes … solutions from initial requirements through to production Experience Required: Strong commercial Python and SQL experience Hands‐on experience with AWS data services Amazon Redshift or comparable cloud data‐warehouse experience Apache Airflow or similar orchestration experience Strong ETL/ELT, data‐modelling and production pipeline knowledge The confidence ...

controlled sharing of client data - is a benefit. An understanding of the gaming and sports betting industry is a strong advantage. Experience working with Amazon Redshift, Amazon Athena and/or Microsoft SQL Server is a benefit. OUR OFFER: A collaborative environment with colleagues from all over ...

Engineering Design and deliver solutions across the AWS ecosystem including: AWS Lambda AWS Glue API Gateway AWS Step Functions AWS Lake Formation IAM Amazon S3 Amazon EventBridge CloudWatch DynamoDB SNS AWS Secrets Manager Amazon Redshift SQS AWS KMS CloudFormation or Terraform Apply AWS Well-Architected Framework … Infrastructure as Code (IaC). Strong CI/CD automation experience. Experience designing enterprise integration solutions. Excellent SQL and data modelling skills. Experience with Redshift, Glue and modern analytical platforms. Strong understanding of cloud security and governance. Experience delivering highly available production platforms. Strong understanding of observability and operational ...

deliver production‐ready AI solutions in complex professional environments. Strong consulting, stakeholder engagement, problem‐solving, and technical leadership capabilities. Desirable AWS Tools & Technologies experience: Amazon SageMaker - ML development, training, deployment & MLOps Amazon S3 - Scalable data storage & data lakes AWS Glue - Data integration, ETL & preparation Amazon Redshift & Athena - Data warehousing & serverless analytics Amazon EMR - Big data processing & Spark Amazon Bedrock - Generative AI & foundation models AWS Lambda - Serverless data & AI workflows Amazon QuickSight - BI, dashboards & visualisation Python, SQL, R & PySpark - Data science & analytics As an equal opportunities’ employer, we welcome applications from individuals ...

accurate, accessible, and trusted. Designing and developing scalable data pipelines using Python and PySpark Building and optimising data workflows using AWS Glue, Athena, Redshift , and related AWS services Supporting modern lakehouse architectures, including Apache Iceberg Working with relational and NoSQL databases to ensure data is reliable … Data Engineer, ETL Developer, Data Platform Engineer, or a similar role Strong hands‐on experience with Python and PySpark Experience with AWS Glue, Amazon Athena, Amazon Redshift , and cloud‐based data platforms Strong SQL skills and experience working with both relational and NoSQL databases Experience supporting ...

lifecycle development, including extensive experience with workflow orchestration tools (e.g., Apache Airflow, Dagster). Hands-on expertise with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and data lake architectures (e.g., Databricks, Delta Lake, Apache Iceberg). Advanced SQL skills and proficiency in Python. Strong background in modern software development ...

delivering enterprise data warehousing and lakehouse solutions on Snowflake, including migrations from legacy EDW (Teradata, Oracle, SQL Server, etc.) and modern platforms (BigQuery, Redshift, Synapse, etc.).Deep data modeling expertise (dimensional, Data Vault, 3NF) and semantic design, including Snowflake semantic views and Horizon Context.Strong ELT/ETL and orchestration ...

Fivetran, Matillion, or equivalent. Databases: Solid understanding of relational databases (e.g., PostgreSQL, MySQL) and experience with modern data warehousing solutions (e.g., Snowflake, BigQuery, Redshift, Synapse). Data Modeling: Knowledge of data modeling principles (e.g., star schema, snowflake schema, normalization). Programming: Proficiency in Python and/or Scala ...

/CD and other DevOps practices such as IaC Testing Additional experience with the following would be beneficial but not essential: Data Warehousing (Snowflake, Redshift, Synapse, BigQuery, etc.) Relational, NoSQL, graph and vector databases Streaming technologies (Kafka, Kinesis, Flink, etc.) Containers and related services (Docker, Kubernetes, container Registries ...

data/ML ecosystem SQL – advanced querying, modelling, and optimisation Data pipelines & orchestration – Airflow, Prefect, Dagster, or dbt Data warehouses/lakes – BigQuery, Snowflake, Redshift, or Databricks ML frameworks – PyTorch, TensorFlow, or scikit‐learn LLM & AI tooling – OpenAI, Anthropic; LangChain or LlamaIndex Agentic AI – LangGraph, LangChain Agents, AutoGen ...

data mesh, data fabric). Hands-on experience with one or more cloud data ecosystems: Azure (Data Factory, Synapse, Fabric, ADLS, Databricks) AWS (Glue, Redshift, EMR) GCP (BigQuery, Dataflow) Databricks (Spark/PySpark) Snowflake (SQL, Snowpark, performance tuning) Strong SQL and/or Python capability, and familiarity with tools ...

Ability to work directly with stakeholders and translate business requirements into scalable technical solutions Desirable Experience AWS Data Services (Glue, EMR, Lambda, S3, Athena, Redshift) Streaming technologies such as Kafka or Kinesis Data modelling and metadata management AI/ML data pipelines and feature engineering Geospatial, sensor, operational ...

Scala or Java). Experience building ETL/ELT pipelines. Experience with cloud data platforms such as AWS or Azure (for example, S3, Glue, Redshift, Azure Data Factory or Synapse). Understanding of data modelling and data warehousing concepts. Experience with version control (Git). Good problem-solving ...

about data behaviour over time and the downstream consequences of upstream design decisions. Modern Data Stack Experience with cloud data warehouses (e.g. BigQuery, Snowflake, Redshift, ADW), including performance, cost, and data layout considerations. Proficiency with data integration and orchestration tools (e.g. Fivetran, Airflow, managed ELT platforms), and an understanding ...

. Data Integration Tools: Knowledge of platforms like Airflow, Apache NiFi, or Talend. Data Storage and Modelling: Experience with data warehousing tools (e.g. Snowflake, Redshift, BigQuery) and schema design. Version Control and CI/CD: Familiarity with Git, Docker, and CI/CD pipelines for deployment. Experience: 5+ years ...

engineering frameworks and tools (e.g. Spark/PySpark, Pandas, orchestration tools). Experience working with cloud data platforms on AWS or Azure (e.g. Databricks, Redshift, Microsoft Fabric). Understanding of software engineering fundamentals, including Git, testing, CI/CD and modular design. Basic analytics and statistical understanding, including metrics ...

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 ...