1 to 25 of 31 Remote Amazon Redshift Jobs in London

solutions. Support and mentor junior engineers, contributing to knowledge sharing across the team. What We're Looking For Strong hands-on experience across AWS Glue, Lambda, Step Functions, RDS, Redshift, and Boto3. Proficient in one of Python, Scala or Java, with strong experience in Big Data technologies such as: Spark, Hadoop etc. Practical knowledge of building Real Time event More ❯

or dbt. Strong SQL skills and experience with cloud platforms (Azure preferred). Solid programming background in Python, Scala, or Java. Knowledge of data warehousing solutions (e.g. Snowflake, BigQuery, Redshift). Strong understanding of data governance, security, and compliance (experience within financial services is a plus). Leadership experience, with the ability to mentor, influence, and set technical direction. More ❯

or dbt. Strong SQL skills and experience with cloud platforms (Azure preferred). Solid programming background in Python, Scala, or Java. Knowledge of data warehousing solutions (e.g. Snowflake, BigQuery, Redshift). Strong understanding of data governance, security, and compliance (experience within financial services is a plus). Leadership experience, with the ability to mentor, influence, and set technical direction. More ❯

what to do, run some whiteboard design sessions (realising you've used a permanent marker, you quickly leave the room) Qualifications Data Warehousing, Data Modelling, Database Design, ETL AWS Redshift, AWS Glue, S3, SQL Server, Power BI Cloud/DevOps AWS, Docker, Terraform Bitbucket, Bamboo, CI/CD deploy pipeline Agile, pair programming, code reviews Additional Information Were a More ❯

What We're Looking For Hands-on Palantir Foundry expertise or transferable, client facing data engineering experience with large-scale data platforms such as: Snowflake, Databricks, AWS Glue/Redshift, Google BigQuery Software engineering skills in Python, Java, or TypeScript/React. Strong data modelling, pipeline development, and API design experience. Excellent problem-solving and communication skills. Why This More ❯

Collaborative, curious, and happy to work in a self-organising, fast-paced environment. Nice-to-Have Skills : Experience with GCP/BigQuery or other cloud data warehouses (e.g., Snowflake, Redshift). Familiarity with data orchestration tools (e.g., Airflow). Experience with data visualisation platforms (such as Preset.io/Apache Superset or other). Exposure to CI/CD pipelines More ❯

Collaborative, curious, and happy to work in a self-organising, fast-paced environment. Nice-to-Have Skills : Experience with GCP/BigQuery or other cloud data warehouses (e.g., Snowflake, Redshift). Familiarity with data orchestration tools (e.g., Airflow). Experience with data visualisation platforms (such as Preset.io/Apache Superset or other). Exposure to CI/CD pipelines More ❯

Collaborative, curious, and happy to work in a self-organising, fast-paced environment. Nice-to-Have Skills : ·Experience with GCP/BigQuery or other cloud data warehouses (e.g., Snowflake, Redshift). ·Familiarity with data orchestration tools (e.g., Airflow). ·Experience with data visualisation platforms (such as Preset.io/Apache Superset or other). ·Exposure to CI/CD pipelines More ❯

Collaborative, curious, and happy to work in a self-organising, fast-paced environment. Nice-to-Have Skills : Experience with GCP/BigQuery or other cloud data warehouses (e.g., Snowflake, Redshift). Familiarity with data orchestration tools (e.g., Airflow). Experience with data visualisation platforms (such as Preset.io/Apache Superset or other). Exposure to CI/CD pipelines More ❯

Collaborative, curious, and happy to work in a self-organising, fast-paced environment. Nice-to-Have Skills : Experience with GCP/BigQuery or other cloud data warehouses (e.g., Snowflake, Redshift). Familiarity with data orchestration tools (e.g., Airflow). Experience with data visualisation platforms (such as Preset.io/Apache Superset or other). Exposure to CI/CD pipelines More ❯

Engineering projects Strong experience in Python/PySpark, Databricks & Apache Spark Hands on experience with both batch & streaming pipelines Strong experience in AWS and associated tooling (Eg, S3, Glue, Redshift, Lambda, Terraform etc) Experience designing Data Engineering platforms from scratch Alongside their commitment to work-life balance the business also has an extremely competitive benefits package including, but not More ❯

Skillset Delivery experience Building solutions in snowflake implementing data warehousing solutions using Snowflake and AWS Hands-on experience with AWS services such as Glue (Spark), Lambda, Step Functions, ECS, Redshift, and SageMaker. Enthusiasm for cross-functional work and adaptability beyond traditional data engineering. Examples like building APIs, integrating with microservices, or contributing to backend systems - not just data pipelines … strong hands-on programming skills and software engineering fundamentals, with experience building scalable solutions in cloud environments (AWS preferred) Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway Solid foundation in software engineering principles, including version control (Git), testing, CI/CD, modular design, and clean code practices. Experience developing reusable components and APIs … preferred for data processing, automation, and pipeline development AWS or Snowflake certifications are a plus Hands-on experience with AWS services such as Glue (Spark), Lambda, Step Functions, ECS, Redshift, and SageMaker. Enthusiasm for cross-functional work and adaptability beyond traditional data engineering. Examples like building APIs, integrating with microservices, or contributing to backend systems - not just data pipelines More ❯

on data architecture Strong proficiency in Python and SQL, with the ability to manipulate and analyse large datasets Hands-on experience with Kafka for stream processing and AWS (particularly Redshift and S3) Skilled in implementing testing and validation strategies to ensure data quality Familiar with version control systems such as Git and working in Agile, collaborative environments Self-driven More ❯

office) Role Responsibilities: · Develop and deliver the group-wide data and analytics roadmap. · Lead on data engineering and reporting, with hands-on expertise across Azure SQL, Power BI, AWS Redshift and similar platforms. · Consolidate disparate systems (ERP, EPOS, WMS, ecommerce) into a reliable, scalable reporting framework. · Architect and implement integrations, middleware, and data warehousing solutions. · Produce, manage, and optimise More ❯

office) Role Responsibilities: · Develop and deliver the group-wide data and analytics roadmap. · Lead on data engineering and reporting, with hands-on expertise across Azure SQL, Power BI, AWS Redshift and similar platforms. · Consolidate disparate systems (ERP, EPOS, WMS, ecommerce) into a reliable, scalable reporting framework. · Architect and implement integrations, middleware, and data warehousing solutions. · Produce, manage, and optimise More ❯

office) Role Responsibilities: · Develop and deliver the group-wide data and analytics roadmap. · Lead on data engineering and reporting, with hands-on expertise across Azure SQL, Power BI, AWS Redshift and similar platforms. · Consolidate disparate systems (ERP, EPOS, WMS, ecommerce) into a reliable, scalable reporting framework. · Architect and implement integrations, middleware, and data warehousing solutions. · Produce, manage, and optimise More ❯

office) Role Responsibilities: Develop and deliver the group-wide data and analytics roadmap. Lead on data engineering and reporting, with hands-on expertise across Azure SQL, Power BI, AWS Redshift and similar platforms. Consolidate disparate systems (ERP, EPOS, WMS, ecommerce) into a reliable, scalable reporting framework. Architect and implement integrations, middleware, and data warehousing solutions. Produce, manage, and optimise More ❯

will play a pivotal role in designing and implementing data warehousing solutions using Snowflake and AWS. You will help drive the evolution of data architecture as we move from Redshift to Snowflake. Hands-on experience with AWS services such as Glue (Spark), Lambda, Step Functions, ECS, Redshift, and SageMaker. Conducting code reviews, mentoring through pair programming. Building APIs … like GitHub Actions, Jenkins, AWS CDK, CloudFormation, Terraform. Key Responsibilities: Design and implement scalable, secure, and cost-efficient data solutions on AWS, leveraging services such as Glue, Lambda, S3, Redshift, and Step Functions. Lead the development of robust data pipelines and analytics platforms, ensuring high availability, performance, and maintainability. Demonstrate proficiency in software engineering principles, contributing to the development More ❯

will play a pivotal role in designing and implementing data warehousing solutions using Snowflake and AWS. You will help drive the evolution of data architecture as we move from Redshift to Snowflake. Hands-on experience with AWS services such as Glue (Spark), Lambda, Step Functions, ECS, Redshift, and SageMaker. Conducting code reviews, mentoring through pair programming. Building APIs … like GitHub Actions, Jenkins, AWS CDK, CloudFormation, Terraform. Key Responsibilities: Design and implement scalable, secure, and cost-efficient data solutions on AWS, leveraging services such as Glue, Lambda, S3, Redshift, and Step Functions. Lead the development of robust data pipelines and analytics platforms, ensuring high availability, performance, and maintainability. Demonstrate proficiency in software engineering principles, contributing to the development More ❯

will play a pivotal role in designing and implementing data warehousing solutions using Snowflake and AWS. You will help drive the evolution of data architecture as we move from Redshift to Snowflake. Hands-on experience with AWS services such as Glue (Spark), Lambda, Step Functions, ECS, Redshift, and SageMaker. Conducting code reviews, mentoring through pair programming. Building APIs … like GitHub Actions, Jenkins, AWS CDK, CloudFormation, Terraform. Key Responsibilities: Design and implement scalable, secure, and cost-efficient data solutions on AWS, leveraging services such as Glue, Lambda, S3, Redshift, and Step Functions. Lead the development of robust data pipelines and analytics platforms, ensuring high availability, performance, and maintainability. Demonstrate proficiency in software engineering principles, contributing to the development More ❯

will play a pivotal role in designing and implementing data warehousing solutions using Snowflake and AWS. You will help drive the evolution of data architecture as we move from Redshift to Snowflake. Hands-on experience with AWS services such as Glue (Spark), Lambda, Step Functions, ECS, Redshift, and SageMaker. Conducting code reviews, mentoring through pair programming. Building APIs … like GitHub Actions, Jenkins, AWS CDK, CloudFormation, Terraform. Key Responsibilities: Design and implement scalable, secure, and cost-efficient data solutions on AWS, leveraging services such as Glue, Lambda, S3, Redshift, and Step Functions. Lead the development of robust data pipelines and analytics platforms, ensuring high availability, performance, and maintainability. Demonstrate proficiency in software engineering principles, contributing to the development More ❯

Business Intelligence Analyst/BI Analyst you'll be the first hire within this area, supported by the Head of Finance you'll oversee the implementation of the AWS Redshift Data Warehouse that has been built by a tech consultancy and take ownership of implementing PowerBI into the business to enable data informed decisions that drive efficiency and revenue. More ❯

storage, and data governance across AWS and Snowflake platforms. Lead the design of data lakes, data warehouses, and real-time data pipelines using AWS-native tools such as Glue, Redshift, S3, Lambda, Kinesis, and Athena. Project Leadership & Delivery Manage and deliver complex data architecture projects, providing technical leadership to cross-functional teams. Collaborate with business stakeholders, data engineers, and … years of experience in data architecture, including at least 3 years in a cloud-native environment. Proven expertise with AWS cloud services , including but not limited to: S3, Glue, Redshift, Lambda, Kinesis, Athena, Lake Formation. Strong hands-on experience with Snowflake - architecture, performance tuning, security, and data sharing features. Proficient in data modelling, data integration (ETL/ELT), and More ❯

to London. This role is ideal for someone with strong experience in data migration, ETL (both batch and real-time), and data warehouse development. What you'll need: DataStage Redshift QuickSight S3 Java SQL Relational databases GitHub/lab experience Experience with DevSecOps and building scalable data platforms Nice to have: Data quality expertise XML knowledge AWS Data Speciality More ❯

with a focus on data projects You have experience of establishing data analytics and supporting AI solutions You have a good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions) You have advanced client and stakeholder management skills What's in it for you More ❯