1 to 25 of 41 Remote Amazon Redshift Jobs in England

not? We’ll help you get there: Understanding of cloud computing security concepts Experience in relational cloud-based database technologies like Snowflake, BigQuery or Redshift Experience in open-source technologies like Spark, Kafka, Beam understanding of Cloud tools such as AWS, Microsoft Azure or Google Cloud Familiarity with DBT More ❯

will mitigate complex transaction problems and automate processes. Specifically, you can expect to be involved in the following: Getting data through Airflow pipelines Operate Redshift data warehouse within AWS Have ownership of the project SKILLS AND EXPERIENCE The successful Data Engineer will have the following skills and experience: SQL … Python DBT Airflow AWS Redshift A fintech/accounting/banking background is nice to have. BENEFITS The successful Data Engineer will receive the following benefits: Salary/Rate between £70k–£80 - depending on experience Hybrid working, 2 days in the London office HOW TO APPLY Please register your More ❯

Design – Developing scalable, secure, and cost-effective solutions to support operational and analytical workloads. • Hybrid Cloud & Data Migration – Implementing cloud-based architectures (e.g., Snowflake, Redshift, BigQuery) and migrating legacy data systems. • Developing Innovative Solutions – Leading proof-of-concept (PoC) and minimum viable product (MVP) initiatives for advanced analytics and More ❯

level automation Interface testing across integrations, including Kafka, Load & Performance Assuring API quality and conducting database-level testing Supporting the migration of technical platforms (Redshift to PostgreSQL) Stakeholder management and documentation of test processes Collaborating with cross-functional teams to ensure testing best practices Key Skills & Experience Strong API … Testing & Automation experience (Postman, BDD, Chai) Technical testing expertise (Kafka, RabbitMQ, AWS Lambda) Database testing (PGSQL, Redshift, PostgreSQL) Database skills (sequel) Experience in automation frameworks & performance testing Azure DevOps Test Planning, Atlassian Confluence & Jira Proficiency in Visual Studio Code Ability to work autonomously with high attention to detail Self More ❯

patching, upgrades, PowerShell remote management, and troubleshooting complex issues. Excellent problem determination, analytical, and resolution skills are a must. Expertise in AWS tools, including Redshift, Aurora, Athena, DynamoDB, and Amazon RDS. Experience with Dev lifecycle/database progression (Dev/Test/UAT/Pre-prod/Production More ❯

environment that encourages knowledge sharing and close collaboration. About you: You have strong Python backend software engineering skills You have strong AWS experience (DynamoDB, Redshift, Lambda, Fargate) You have a good knowledge of SQL You have a strong interest in Machine Learning and are keen to learn more in More ❯

Behavox as demonstrated by a connection to its mission, marketplace and/or technologies Proven experience with modern data platforms such as BigQuery, Snowflake, Redshift, or DuckDB Proficiency in BI tools like Omni or Looker, and data transformation frameworks such as DBT, Airbyte, or Matillion Advanced programming skills in More ❯

experts! Key Responsibilities: ✅ Lead the design & development of modern cloud data platforms (AWS, GCP, Azure). ✅ Implement hybrid cloud solutions & migrate legacy systems (Snowflake, Redshift, BigQuery). ✅ Automate data pipelines & deployments using DevOps (Terraform, CI/CD). ✅ Develop enterprise data strategies & architecture roadmaps. ✅ Apply best practices (TOGAF, DAMA More ❯

As we our cloud posture matures our tech stack is likely to expand to other database engines (e.g., PostgreSQL, Oracle, SQL Server, MongoDB, MariaDB, Redshift, Azure Data Lake) based on business needs. Performance Tuning: Monitor database performance, troubleshoot slow queries, and optimize indexes, partitions, and configurations. Backup & Recovery: Develop More ❯

Experience building and maintaining ETL pipelines Expertise of AWS Good knowledge in some of the following S3, EC2, RDS, Cognito, Cloudwatch, EFS, Aurora, Athena, RedShift What's in it for you? 💰Salary: £65,000-£80,000 DOE (potential flex) 📈Clearly defined career progression opportunities 🧑‍💻Excellent L&D opportunities 📍Location More ❯

Engineering with AWS. Strong skills in Python or Scala and experience with SQL databases . Hands-on experience with AWS services (S3, Lambda, Glue, Redshift, Athena, etc.). Knowledge of data modelling, pipeline orchestration (Airflow) , and cloud infrastructure (IaC – Terraform, CloudFormation). Experience working in financial services or FinTech More ❯

Mentor junior engineers and contribute to technical strategy. Requirements: 5+ years of experience in Data Engineering with AWS. Deep expertise in AWS services (Glue, Redshift, Kinesis, S3, Lambda, DynamoDB, etc.). Strong programming skills in Python or Scala , with proficiency in SQL . Experience with Big Data processing (Spark More ❯

end data modelling projects, connecting multiple sources and creating metrics/KPIs . Work primarily with SQL, dbt, and cloud data warehouses (Snowflake, BigQuery, Redshift). Utilize Power BI/Tableau for reporting. Technical Requirements ✅ Essential Strong proficiency in SQL with the ability to write complex queries, optimise performance … management, data extraction, transformation, and analysis, ensuring seamless data workflows for all stakeholders. Working with modern cloud data warehouses such as Snowflake , BigQuery , or Redshift . You should be comfortable creating robust data models, building scalable pipelines, and ensuring data quality within these cloud environments. 💡 Desirable Experience with dbt More ❯

with large-scale structured and unstructured datasets, leveraging AWS big data services . Develop ML pipelines using AWS services such as SageMaker, Lambda, Glue, Redshift, and Athena . Implement feature engineering, model training, and hyperparameter tuning for scalable ML solutions. Collaborate with data engineers and analysts to integrate ML … AWS cloud solutions. Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) and SQL . Hands-on experience with AWS services (SageMaker, Lambda, Glue, Redshift, Athena, S3). Strong understanding of ML model development, deployment, and monitoring . Experience with big data processing frameworks (Spark, EMR, Kafka) is a More ❯

solutions to automate data ingestion, transformation, and orchestration across systems. Own data operations infrastructure: Manage and optimise key data infrastructure components within AWS, including Amazon Redshift, Apache Airflow for workflow orchestration and other analytical tools. You will be responsible for ensuring the performance, reliability, and scalability of these More ❯

use cases. Experience in building and deploying live software services in production. Exposure to some of the following technologies (or equivalent): Apache Spark, AWS Redshift, AWS S3, Cassandra (and other NoSQL systems), AWS Athena, Apache Kafka, Apache Flink, AWS, and service-oriented architecture. What you'll get: Full responsibility More ❯

the role for you! 🔍 What you’ll be doing: Develop and optimise data models for batch and real-time processing using AWS tools like Redshift, S3, and Kafka. Design and maintain ETL pipelines, integrating data from multiple sources (including APIs). Analyse customer behaviour and gaming data to deliver … innovation and learning. ✅ What you’ll bring: 5+ years of data engineering experience, with leadership and mentoring skills. Proficiency in SQL, Python, AWS technologies (Redshift, S3, Lambda), and Kafka. Expertise in building ETL pipelines and integrating APIs. Knowledge of data security and compliance standards. Strong problem-solving and communication More ❯

performance. •Proficiency in Apache Airflow and Python for data transformation and pipeline automation. •Experience building cloud-based BI solutions, ideally in AWS (S3, Athena, Redshift, QuickSight) •Excellent communication skills and a willingness to engage with a variety of stakeholders across the business. •Excellent planning, organizational, and time management skills. More ❯

performance. •Proficiency in Apache Airflow and Python for data transformation and pipeline automation. •Experience building cloud-based BI solutions, ideally in AWS (S3, Athena, Redshift, QuickSight) •Excellent communication skills and a willingness to engage with a variety of stakeholders across the business. •Excellent planning, organizational, and time management skills. More ❯

A/B Testing & Experimentation 🚀 What You’ll Need Similar role in a product-led tech company . Hands-on experience with SQL, Tableau, Redshift and Python . Ready to apply More ❯

A/B Testing & Experimentation 🚀 What You’ll Need Similar role in a product-led tech company . Hands-on experience with SQL, Tableau, Redshift and Python . Ready to apply More ❯

Responsibilities: Recent experience with Databricks and an understanding of the latest features and tools on the platform. In-depth knowledge of AWS services (S3, Redshift, Glue) and how they integrate with Databricks. Contribute to both High-Level and Low-Level architectural design, producing comprehensive architectural artefacts. Data integration expertise More ❯

and engineering governance. Key Skills: Data design patterns and optimisation across disparate mediums within a Cloud-based environment (preferably AWS) such as data warehouses, redshift, and lake house architecture. A strategic thinker who can define modelling patterns for various layers of a data environment balancing storage vs. compute costs More ❯

Amazon Web Services is the market leader and technology forerunner in the Cloud business. As a member of the AWS Support team you will be at the forefront of this transformational technology, assisting a global list of companies and developers that are taking advantage of a growing set of … practices for applications, servers and networks? Do you want to be part of a customer facing technology team helping to ensure the success of Amazon Web Services (AWS) as a leading technology organization? If you fit the description, you might be the person we are looking for! We are … breaking technologies. Apply advanced troubleshooting techniques to provide unique solutions to our customers' individual needs. Interact with leading engineers around the world. Partner with Amazon Web Services teams to help reproduce and resolve customer issues. Leverage your extensive customer support experience to provide feedback to internal AWS teams on More ❯

and technical standards. Good command line and scripting knowledge. Knowledge of plugins for above software applications, including but not limited to - Red Giant Complete, Redshift 3D, Arnold Renderer, Keentools Geotracker, NeatVideo, Boris FX Sapphire, Continuum and Mocha Pro, Insydium X-Particles, Chaos Group V-Ray. It would be great More ❯