24 of 24 Amazon Redshift Jobs in the North of England

And future opportunities) *To be successful in this role we are looking for someone who is particularly strong in Oracle Data Integrator (ODI) or Amazon Redshift/AWS - Or ideally both :) This can be offered as "mostly remote" however you will need to be comfortable going to the … scratch Oracle Databases and hopefully experience of ODI (Oracle Data Integrator) (Can be learnt in role) Experience in AWS, perhaps some Informatica/SSIS Amazon Redshift - this can be learnt if not used as yet Perhaps exposure to S3 Experience in Data Integration, APIs and Storage solutions Comfortable More ❯

SQLAlchemy, GitLab, Athena. Your Trusted Companions : Docker, Snowflake, MongoDB, Relational Databases (eg MySQL, PostgreSQL), Dagster, Airflow/Luigi, Spark, Kubernetes. Your AWS Kingdom : Lambda, Redshift, EC2, ELB, IAM, RDS, Route53, S3-the building blocks of cloud mastery. Your Philosophy : Continuous integration/deployments, (CI/CD) automation, rigorous code More ❯

Implement best practices for data security and compliance. Collaborate with stakeholders and external partners. Skills & Experience: Strong experience with AWS data technologies (e.g., S3, Redshift, Lambda). Proficient in Python, Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development and deployment. 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 ❯

services regulations (PCI DSS, FCA, GDPR). Database & Data Services: Expertise in how data services connect, function and integrate within AWS, such as Athena, Redshift and Aurora. AWS Contact Platform Services: Hands-on experience with AWS Connect and related services such as Lens and Kinect. Coding & Automation: Proficiency in More ❯

available cloud services (AWS or Azure). Strong understanding of IaC principles and tools (Terraform, CloudFormation, Bicep). Familiarity with cloud database technologies (Snowflake, Redshift, etc.). Knowledge of Linux and related platform tooling (e.g., Docker). Knowledge of data platform and/or data science tooling. Solid understanding More ❯

available cloud services (AWS or Azure). Strong understanding of IaC principles and tools (Terraform, CloudFormation, Bicep). Familiarity with cloud database technologies (Snowflake, Redshift, etc.). Knowledge of Linux and related platform tooling (e.g., Docker). Knowledge of data platform and/or data science tooling. Solid understanding More ❯

available cloud services (AWS or Azure). Strong understanding of IaC principles and tools (Terraform, CloudFormation, Bicep). Familiarity with cloud database technologies (Snowflake, Redshift, etc.). Knowledge of Linux and related platform tooling (e.g., Docker). Knowledge of data platform and/or data science tooling. Solid understanding More ❯

available cloud services (AWS or Azure). Strong understanding of IaC principles and tools (Terraform, CloudFormation, Bicep). Familiarity with cloud database technologies (Snowflake, Redshift, etc.). Knowledge of Linux and related platform tooling (e.g., Docker). Knowledge of data platform and/or data science tooling. Solid understanding More ❯

available cloud services (AWS or Azure). Strong understanding of IaC principles and tools (Terraform, CloudFormation, Bicep). Familiarity with cloud database technologies (Snowflake, Redshift, etc.). Knowledge of Linux and related platform tooling (e.g., Docker). Knowledge of data platform and/or data science tooling. Solid understanding More ❯

available cloud services (AWS or Azure). Strong understanding of IaC principles and tools (Terraform, CloudFormation, Bicep). Familiarity with cloud database technologies (Snowflake, Redshift, etc.). Knowledge of Linux and related platform tooling (e.g., Docker). Knowledge of data platform and/or data science tooling. Solid understanding More ❯

Proficiency in AI/ML security and automation. Experience with data science and analytics in Databricks, Synapse Analytics, and large-scale data warehouses (Snowflake, Redshift, Presto). Proficiency in data visualization tools (Databricks, PowerBI) and the Python data science ecosystem (Jupyter, Pandas, Numpy, Matplotlib). Plusses: Financial services background More ❯

a focus on quality, performance, and value. Your responsibilities as Principal Data Engineer include: Building cloud-native data platforms using AWS services such as Redshift, Glue, S3, Lambda, and DynamoDB Designing and implementing ETL/ELT pipelines using Matillion and similar tools Leading on solution deployment using infrastructure-as More ❯

AWS QuickSight is a significant advantage. Solid proficiency in SQL for data querying, transformation, and optimisation. Hands-on experience with AWS services such as Redshift, S3, and Athena is highly desirable. Proven ability to work autonomously, take ownership of projects, and proactively identify solutions. Strong analytical and problem-solving More ❯

related role Excellent SQL skills Good understanding of relational and analytical database architectures and methodologies Experience of cloud data warehousing solutions e.g. Snowflake, BigQuery, Redshift Good hands-on experience with at least one Business Intelligence platform Strong analytical and problem-solving skills Excellent communication skills, with the ability to More ❯

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 More ❯

Tech Stack & Skills: Strong BI development experience within ETL/data warehousing environments. Experience with Oracle Data Integrator (ODI) in an AWS S3/Redshift setting or equivalent tools (Informatica, SSIS). Solid SQL development and performance tuning capabilities. Exposure to web APIs and Python (desirable). Understanding of More ❯

to work alongside a key public sector client. A Successful Principal Data Engineer will have: Heavy experience in AWS infrastructure. Hands on knowledge of Redshift, Glue & S3. Experience with Matillion. Demonstrable knowledge in ETL & using patterns for cloud data warehouse solutions. Lengthy experience in consulting firms. Experience working with More ❯

collaborating with small teams. Excellent problem-solving and analytical skills. Desirable Experience working alongside a data platform migration while maintaining reporting capabilities. Experience with Amazon Redshift. Knowledge of Power BI Capacity management and optimisation. Familiarity with data governance principles and reporting compliance standards. What is in it for me More ❯

Role: Data Lead Location: Knutsford Contract Role Job Description: AWS Services: Glue, Lambda, IAM, Service Catalogue, Cloud Formation, Lake Formation, SNS, SQS, Event Bridge Language & Scripting: Python and Spark ETL: DBT Good to Have: Airflow, Snowflake, Big Data (Hadoop), and More ❯

Server, Oracle, MySQL, PostgreSQL, and NoSQL databases. Drive migrations using AWS Database Migration Service (DMS), Schema Conversion Tool (SCT), and Babelfish for Aurora. Implement Amazon RDS, Aurora, DynamoDB, and ElastiCache to replace legacy databases. Optimise database performance through sharding, partitioning, and caching strategies. Cloud-Native & Serverless Adoption Architect solutions … technical stakeholders. Experience leading technical teams and mentoring engineers. Ability to define modernisation roadmaps and business cases. Desirable Skills (Nice-to-Have) Experience with Redshift, Neptune, Timestream, or other AWS data services. Knowledge of multi-cloud (GCP/Azure) and hybrid cloud environments. Familiarity with machine learning & analytics pipelines More ❯

and enjoys working both independently and collaboratively. Key Responsibilities as a Principal Data Engineer Propose and implement data solutions using AWS services including S3, Redshift, Lambda, Step Functions, DynamoDB, AWS Glue, and Matillion . Work directly with clients to define requirements, refine solutions, and ensure successful handover to internal … team culture. Required Qualifications & Skills Strong experience in ETL processes and cloud data warehouse patterns . Hands-on expertise with AWS services (S3, Glue, Redshift). Proficiency with Matillion for data transformation. Experience working with various relational databases . Familiarity with data visualization tools such as QuickSight, Tableau, Looker More ❯

Position: Full-Stack Software Engineer (Python, AWS, TypeScript, React) Duration: Until Feruary 2026 Rate: £500 per day Inside IR35 Location; up-to 2x/week in Leeds. **Public Sector Experience is Highly Beneficial** Brio Digital is working with a leading More ❯

DOING? As a key member of our analytics team, you will be responsible for developing, enhancing, and maintaining interactive data visualisations and dashboards using Amazon QuickSight. You’ll define and implement key business metrics aligned with strategic goals, and work closely with clients to gather requirements, refine project scopes … SKILLS Strong experience with BI tools (ideally AWS QuickSight) Proficient in SQL for data querying, transformation, and optimisation Hands-on experience with AWS services (Redshift, S3, Athena preferred) Self-motivated with the ability to own projects and solve problems independently Strong analytical skills with the ability to turn business … process and submit (submit to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: AWS QUICKSIGHT, SQL, AWS REDSHIFT, S3, ATHENA, ETL More ❯