1 to 25 of 33 Amazon Redshift Jobs in the North West

triage and prioritise platform capabilities to deliver business and customer outcomes. AWS Data Product Development: Lead the development of cloud-native data products using AWS services such as S3, Redshift, Glue, Lambda, and DynamoDB, aligning with business needs. Technical Leadership & Advisory: Act as a trusted AWS expert, advising clients on cloud migration, data strategy, and architecture modernization while working … technical expertise in AWS – Proven experience in designing and implementing cloud-based data architectures, ETL pipelines, and cloud-native applications, using services such as AWS EC2, S3, Lambda, Glue, Redshift, RDS, IAM, and KMS. Leadership & Stakeholder Management – Ability to engage with C-level executives (CDOs, CTOs, CIOs), lead cross-functional teams, and drive technical strategy in complex enterprise environments. More ❯

stack with robust, pragmatic solutions. Responsibilities develop, and maintain ETL/ELT data pipelines using AWS services Data, Databricks and dbt Manage and optimize data storage solutions such as Amazon S3, Redshift, RDS, and DynamoDB. Implement and manage infrastructure-as-code (IaC) using tools like Terraform or AWS CloudFormation. Monitor and optimize the performance, cost, and scalability of More ❯

stack with robust, pragmatic solutions. Responsibilities develop, and maintain ETL/ELT data pipelines using AWS services Data, Databricks and dbt Manage and optimize data storage solutions such as Amazon S3, Redshift, RDS, and DynamoDB. Implement and manage infrastructure-as-code (IaC) using tools like Terraform or AWS CloudFormation. Monitor and optimize the performance, cost, and scalability of More ❯

Nice to Haves": • Certification in dbt or Google Cloud Platform or related technologies. • Experience with other cloud platforms (e.g. AWS, Azure, Snowflake) and data warehouse/lakehouse technologies (e.g. Redshift, Databricks, Synapse) • Knowledge of distributed big data technologies. • Proficiency in Python. • Familiarity with data governance and compliance frameworks. Your characteristics as a Consultant will include: • Driven by delivering quality More ❯

broad range of problems using your technical skills Demonstrable experience of utilising strong communication and stakeholder management skills when engaging with customers Significant experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) Strong proficiency in SQL and experience with relational databases such as MySQL, PostgreSQL, or Oracle Experience with big data … technologies such as Hadoop, Spark, or Hive Familiarity with data warehousing and ETL tools such as Amazon Redshift, Google BigQuery, or Apache Airflow Proficiency in Python and at least one other programming language such as Java, or Scala Willingness to mentor more junior members of the team Strong analytical and problem-solving skills with the ability to work More ❯

cloud platforms (GCP, AWS, Azure) and their data-specific services Proficiency in Python, SQL, and data orchestration tools (e.g., Airflow, DBT) Experience with modern data warehouse technologies (BigQuery, Snowflake, Redshift, etc.) Strong understanding of data modeling, data governance, and data quality principles Excellent communication skills with the ability to translate complex technical concepts for business stakeholders Strategic thinking with More ❯

Programming experience in Python Skills and experience we’d love you to have... Understanding of cloud computing security concepts Experience in relational cloud based database technologies like Snowflake, BigQuery, Redshift Experience in open source technologies like Spark, Kafka, Beam Good understanding of Cloud providers – AWS, Microsoft Azure, Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in an More ❯

AWS Data Engineer - Manchester - Hybrid We're working with a global insurance company that's redefining the industry through technology. As a key end user of AWS, they're leveraging cloud-native solutions and advanced analytics to transform how they More ❯

AWS Data Engineer - Manchester - Hybrid We're working with a global insurance company that's redefining the industry through technology. As a key end user of AWS, they're leveraging cloud-native solutions and advanced analytics to transform how they More ❯

AWS Data Engineer - Manchester - Hybrid We're working with a global insurance company that's redefining the industry through technology. As a key end user of AWS, they're leveraging cloud-native solutions and advanced analytics to transform how they More ❯

SecurityHub, ControlTower, SCPs, TrustedAdvisor, Inspector and Systems Manager. Serverless platforms such as Lambda, SQS, Fargate, and API Gateway. RDS experience and exposure to DataLake/LakeHouse platforms such as RedShift, Glue, and Athena and IAM roles and policies. Deep experience and strong skills with Terraform and Git. Experience troubleshooting server and software configuration issues on both Windows and Linux More ❯

re an experienced data engineering professional with a proven ability to lead and inspire teams. You bring deep technical skills in Python, SQL, and AWS services such as EC2, Redshift, Lambda and Kinesis, alongside strong stakeholder management and commercial awareness. You’ll also bring: Proven experience designing and implementing data pipelines, ETL processes, and warehousing in cloud environments. The More ❯

re an experienced data engineering professional with a proven ability to lead and inspire teams. You bring deep technical skills in Python, SQL, and AWS services such as EC2, Redshift, Lambda and Kinesis, alongside strong stakeholder management and commercial awareness. You’ll Also Bring Proven experience designing and implementing data pipelines, ETL processes, and warehousing in cloud environments. The More ❯

work on fast-moving, critical projects, contributing to design decisions. Proven project delivery and advanced data validation experience are advantageous. Key Skills & Experience: Proficiency with database systems such as Amazon Aurora MySQL, Microsoft SQL, Oracle, DynamoDB, etc. Expertise in designing, developing, and maintaining complex SQL queries and stored procedures. Performance tuning and optimization of data pipelines. Implementing data monitoring … solutions. Developing scripts and automation tools for data management. Knowledge of version control systems like Git. Familiarity with AWS services: DMS, Lambda, S3, Step Functions, CloudWatch, Redshift, Glue, EventBridge. Experience with CI/CD pipelines and repositories (e.g., Bitbucket). Automated testing design and implementation. Experience with large-scale data environments and warehousing concepts. Data ingestion and integration experience. More ❯

if you have 4+ years of relevant work experience in Analytics, Business Intelligence, or Technical Operations Master in SQL, Python, and ETL using big data tools (HIVE/Presto, Redshift) Previous experience with web frameworks for Python such as Django/Flask is a plus Experience writing data pipelines using Airflow Fluency in Looker and/or Tableau Strong More ❯

You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems, services and More ❯

project lifecycle. Database Knowledge: Proficiency in SQL and NoSQL databases. Design & Implementation: Experience with three or more of the following: Azure Synapse, Azure SQL DB, Cosmos DB, Mongo DB, Redshift, S3, Stream Analytics, Kinesis, Azure Data Factory, IoT Hub, Azure ML Studio, SageMaker Modelling, Azure Data Lake Gen2, HD Insight. Desirable Skills Experience in Fabric and Synapse is highly More ❯

we’re looking for: Strong experience with BI tools, ideally AWS QuickSight. Proficiency in SQL for data querying, transformation, and optimisation. Hands-on experience with AWS services such as Redshift, S3, and Athena is highly desirable. Ability to work autonomously, take ownership of projects, and proactively find solutions. Strong analytical and problem-solving skills, with an ability to translate More ❯

will be responsible for deploying tooling through cloud platforms, utilising new LLM models and building out new pipelines. Desired Skills ⚙️ Python, SQL Tableau, Power BI Terraform, Bedrock AWS (DMS, Redshift, S3) Azure (Synapse, Microsoft AI) If you are a skilled Engineer (Python, SQL, Tableau, AWS, Azure) who is interested in this role then please apply below and I will More ❯

Social network you want to login/join with: Data Engineering Manager, preston, lancashire col-narrow-left Client: Travelex Location: preston, lancashire, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 2 Posted: 04.06.2025 More ❯

Social network you want to login/join with: At Travelex we are developing modern data technology and data products. Data is central to the way we define and sell our foreign currency exchange products. Our relationship with our customers More ❯

At Travelex we are developing modern data technology and data products. Data is central to the way we define and sell our foreign currency exchange products. Our relationship with our customers is deeply data-driven. The data engineering manager ( DEM More ❯

CD alm toolkit; Implementing Dynamics CRM Master Data Model using Azure Logic Apps and Power Automate. Desirable: Strong knowledge of SQL and data processing libraries like Pandas. Experience with Amazon Redshift or similar technologies. Knowledge of agile software development practices, and examples of providing leadership in supporting these practices in the workplace. What you'll get in return More ❯

/ELT pipelines that have handled substantial data. Knowledge of Python, Airbyte/Fivetran, or Kafka, to move and transform data reliably. Experience with modern data warehouses (Snowflake, BigQuery, Redshift, or even Postgres). Comfortable writing code for data tasks. Enjoy liaising with the product team to understand how data powers features and insights. Excellent communication skills, interfacing with More ❯

/ELT pipelines that have handled substantial data. Knowledge of Python, Airbyte/Fivetran, or Kafka, to move and transform data reliably. Experience with modern data warehouses (Snowflake, BigQuery, Redshift, or even Postgres). Comfortable writing code for data tasks. Enjoy liaising with the product team to understand how data powers features and insights. Excellent communication skills, interfacing with More ❯