16 of 16 Amazon Redshift Jobs in the North of England

Senior Data Engineer (AWS) - Manchester (Senior Data Engineer, Lead Data Engineer, Data Engineer, ETL, AWS, AWS Glue, AWS Lambda, AWS S3, AWS Redshift, Amazon EMR, Python, SQL, Pipeline Orchestration, PySpark, data warehousing, data lakehouse, data architecture, Agile, Senior Data Engineer, Lead Data Engineer, Data Engineer) Our client … Juniors. The successful candidate will have strong AWS proficiency, including experience with AWS services such as AWS Glue, AWS Lambda, AWS S3, AWS Redshift, and Amazon EMR. Proven expertise in Python, SQL, Pipeline Orchestration and PySpark is also expected, as is experience with data lakehouse architectures and data ...

Azure Data Factory, Azure Event Hubs, Azure Data Lake Storage, Azure Function Apps, Azure Synapse Analytics, AWS Glue, AWS S3, AWS Lambda Functions, AWS Redshift, Databricks, Snowflake, Google BigQuery, Alteryx, SSIS or Informatica Strong understanding of data warehouse and data lake principles Data modelling using Kimball, Inmon or Data ...

Azure Data Factory, Azure Event Hubs, Azure Data Lake Storage, Azure Function Apps, Azure Synapse Analytics, AWS Glue, AWS S3, AWS Lambda Functions, AWS Redshift, Databricks, Snowflake, Google BigQuery, Alteryx, SSIS or Informatica, with awareness of equivalent alternatives Strong understanding of data warehouse and data lake principles Demonstrable data ...

Azure Data Factory, Azure Event Hubs, Azure Data Lake Storage, Azure Function Apps, Azure Synapse Analytics, AWS Glue, AWS S3, AWS Lambda Functions, AWS Redshift, Databricks, Snowflake, Google BigQuery, Alteryx, SSIS or Informatica, with awareness of equivalent alternatives Strong understanding of data warehouse and data lake principles Demonstrable data ...

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 ...

maintainable data pipelines. Advanced working knowledge of SQL and Python. Experience working with modern cloud data platforms such as Microsoft Fabric, Snowflake, Databricks, Redshift or BigQuery. Experience within the Microsoft data ecosystem would be advantageous. Strong understanding of modern engineering practices including source control, CI/CD, automated testing ...

experience as a Senior or Lead Data Engineer within high-volume, data-intensive environments. Extensive AWS experience including services such as Glue, Lambda, S3, Redshift, and wider cloud-native data tooling. Strong knowledge of Apache Spark and large-scale data processing. Experience working with streaming technologies such as Kafka. ...

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 DBT Visual Studio Code Python CI automation systems such as Jenkins A git-based source control system such ...

principles. Experience optimising cloud infrastructure for performance, resilience and cost efficiency. Key Skills: AWS (ECS, Auto Scaling Groups, ALB, CloudFront, Lambda, RDS Aurora, ElastiCache, Redshift, S3, MSK, Control Tower) Terraform & Infrastructure as Code Linux (Ubuntu) Bash/Shell scripting Docker PHP 7/8 SQL, MySQL & PostgreSQL ...

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 ...

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 ...

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 ...

data governance, quality frameworks and modern data management practices. Experience delivering cloud-based data platforms and analytics capabilities, including AWS technologies such as Redshift, Glue and SageMaker. Demonstrated success in driving organisational change and increasing data maturity. Strong commercial acumen, with the ability to connect data initiatives to measurable ...

workflows Confidence debugging and improving end to end LLM systems in live environments Experience working with modern data infrastructure such as Snowflake, BigQuery or Redshift Familiarity with graph databases and knowledge graphs, for example Neo4j, is highly desirable Comfortable in client facing environments, with the ability to work closely ...

Role:Head of Data Engineering Location:Manchesterbased office – Hybrid working Package:£90k OTE PHMG is continuing to develop and mature its data capability, focusing on modernising our data platform and enhancing the way we work. ...

/CD tools (GitLab CI, Concourse, GitHub). Strong Linux administration experience. Experience with big data technologies including Hadoop, Hive, Spark, and Amazon EMR (or equivalent). Knowledge of monitoring, logging, and security tools. Desirable Skills Kubernetes/EKS or other container platforms. Python scripting and automation. Azure infrastructure … with Kong, Vault, SonarQube, Tenable, Prometheus, Grafana, and Splunk. Technologies AWS, Terraform, GitHub, GitLab CI, Concourse, Linux, Python, Kubernetes, Hadoop, Hive, Spark, EMR, Athena, Redshift, DynamoDB, MySQL, Vault, Tenable, SonarQube, Prometheus, Grafana, Splunk, Azure. ...