1 to 25 of 86 Amazon Redshift Jobs in the West Midlands

Data & Analytics services . You'll be instrumental in ensuring reliable, high-quality service delivery across our modern data ecosystem, including platforms like Informatica , Amazon Redshift , Microsoft Fabric , Power BI , and PowerApps . This role is perfect for someone passionate about operational excellence, skilled in stakeholder management, and … analytics environments. Proven experience managing third-party support providers and holding them accountable to SLAs and KPIs. Familiarity with modern data platforms: Informatica (ETL) Amazon Redshift (data warehousing) Microsoft Fabric (analytics) Power BI (reporting) PowerApps (low-code tools) TOPdesk or similar ITSM tools Track record of defining, measuring More ❯

Strong Python and SQL Solid AWS experience (Glue, Lambda, SQS, S3, etc.) Experience building/maintaining ETL pipelines Data modelling and warehousing knowledge (PostgreSQL, Redshift, Snowflake etc.) Self-starter mindset, you’ll get stuck in and find answers independently to bring back to the team Drive to want to More ❯

growing data practices. Expertise in data architecture, data modelling, data analysis, and data migration. Strong knowledge of SQL, NoSQL, cloud-based databases (e.g., AWS Redshift, Snowflake, Google BigQuery, Azure Synapse). Experience in ETL development, data pipeline automation, and data integration strategies. Familiarity with AI-driven analytics Strong understanding More ❯

to detail with strong analytical and problem-solving skills. Excellent communication and stakeholder engagement skills. Experience with cloud data platforms (e.g., Azure Synapse, AWS Redshift, Google BigQuery). Knowledge of data governance frameworks and data quality management. Competence in data modelling and database design techniques. Experience working in agile More ❯

to detail with strong analytical and problem-solving skills. Excellent communication and stakeholder engagement skills. Experience with cloud data platforms (e.g., Azure Synapse, AWS Redshift, Google BigQuery). Knowledge of data governance frameworks and data quality management. Competence in data modelling and database design techniques. Experience working in agile More ❯

to detail with strong analytical and problem-solving skills. Excellent communication and stakeholder engagement skills. Experience with cloud data platforms (e.g., Azure Synapse, AWS Redshift, Google BigQuery). Knowledge of data governance frameworks and data quality management. Competence in data modelling and database design techniques. Experience working in agile More ❯

to detail with strong analytical and problem-solving skills. Excellent communication and stakeholder engagement skills. Experience with cloud data platforms (e.g., Azure Synapse, AWS Redshift, Google BigQuery). Knowledge of data governance frameworks and data quality management. Competence in data modelling and database design techniques. Experience working in agile More ❯

to detail with strong analytical and problem-solving skills. Excellent communication and stakeholder engagement skills. Experience with cloud data platforms (e.g., Azure Synapse, AWS Redshift, Google BigQuery). Knowledge of data governance frameworks and data quality management. Competence in data modelling and database design techniques. Experience working in agile More ❯

to detail with strong analytical and problem-solving skills. Excellent communication and stakeholder engagement skills. Experience with cloud data platforms (e.g., Azure Synapse, AWS Redshift, Google BigQuery). Knowledge of data governance frameworks and data quality management. Competence in data modelling and database design techniques. Experience working in agile More ❯

to detail with strong analytical and problem-solving skills. Excellent communication and stakeholder engagement skills. Experience with cloud data platforms (e.g., Azure Synapse, AWS Redshift, Google BigQuery). Knowledge of data governance frameworks and data quality management. Competence in data modelling and database design techniques. Experience working in agile More ❯

large-scale datasets. Jupyter, Databricks, or notebooks-based workflows for experimentation. Data Access & Engineering Collaboration : Comfort working with cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery) Familiarity with data pipelines and orchestration tools like Airflow Work closely with Data Engineers to ensure model-ready data and scalable pipelines. Nice More ❯

large-scale datasets. Jupyter, Databricks, or notebooks-based workflows for experimentation. Data Access & Engineering Collaboration : Comfort working with cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery) Familiarity with data pipelines and orchestration tools like Airflow Work closely with Data Engineers to ensure model-ready data and scalable pipelines. Nice More ❯

large-scale datasets. Jupyter, Databricks, or notebooks-based workflows for experimentation. Data Access & Engineering Collaboration : Comfort working with cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery) Familiarity with data pipelines and orchestration tools like Airflow Work closely with Data Engineers to ensure model-ready data and scalable pipelines. Nice More ❯

platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with More ❯

platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with More ❯

platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with More ❯

platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with More ❯

platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with More ❯

platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with More ❯

and integrate them into service health dashboards. Implement observability for AWS Connect (contact flows, agent metrics, call quality). Monitor AWS Data Services (Glue, Redshift, Athena, S3, Lake Formation) for performance, throughput, and data lineage. Integrate AWS Integration Services (API Gateway, EventBridge, Step Functions, Lambda) with distributed tracing and More ❯

organizations. Expect variety – you’ll work across cloud platforms like Azure, AWS, and GCP, leveraging tools such as Databricks, Data Factory, Synapse, Kafka, Glue, Redshift, BigQuery, and more. About You You’re an engineer at heart, with a passion for building efficient, scalable data systems. To succeed, you’ll More ❯

and integrate them into service health dashboards. Implement observability for AWS Connect (contact flows, agent metrics, call quality). Monitor AWS Data Services (Glue, Redshift, Athena, S3, Lake Formation) for performance, throughput, and data lineage. Integrate AWS Integration Services (API Gateway, EventBridge, Step Functions, Lambda) with distributed tracing and More ❯

and integrate them into service health dashboards. Implement observability for AWS Connect (contact flows, agent metrics, call quality). Monitor AWS Data Services (Glue, Redshift, Athena, S3, Lake Formation) for performance, throughput, and data lineage. Integrate AWS Integration Services (API Gateway, EventBridge, Step Functions, Lambda) with distributed tracing and More ❯

What We’re Looking For 4+ years of experience in Python development (Flask, Django). Strong expertise in AWS cloud environments (EC2, S3, RDS, Redshift, Athena). Experience with SQL databases (PostgreSQL, SQLAlchemy). Knowledge of ETL pipelines, API development, and front-end technologies (HTML, CSS). Experience with More ❯

data visualisation and analytics development. Good knowledge of data modelling and cloud data warehouse concepts. Experience working with cloud data platforms (e.g., Snowflake, AWS Redshift, Google Big Query). Excellent communication and collaboration skills. The ability to thrive in a high-pressure, fast-paced environment. Something to note... Here More ❯