1 to 25 of 28 Remote Amazon Redshift Jobs in the City of London

Java Developer – Financial Technology – London/Hybrid (INSIDE IR35) (Key skills: Java, Spring Boot, Kubernetes, AWS EKS, Amazon Redshift, PostgreSQL, RESTful APIs, CI/CD, Microservices, iOS/Android Native, Agile, Financial Services) Are you a highly skilled Java Developer with a passion for building scalable, high-performance financial systems? Do you enjoy working with cutting-edge technologies … integrated with modern mobile and analytics platforms. As part of a collaborative, Agile development team, you will be responsible for building robust microservices, managing data pipelines across PostgreSQL and Amazon Redshift , and delivering performant, secure RESTful APIs used across web and mobile platforms. You’ll work closely with iOS and Android engineers to ensure seamless end-to-end More ❯

Java Developer Financial Technology London/Hybrid (INSIDE IR35) (Key skills: Java, Spring Boot, Kubernetes, AWS EKS, Amazon Redshift, PostgreSQL, RESTful APIs, CI/CD, Microservices, iOS/Android Native, Agile, Financial Services) Are you a highly skilled Java Developer with a passion for building scalable, high-performance financial systems? Do you enjoy working with cutting-edge technologies … integrated with modern mobile and analytics platforms. As part of a collaborative, Agile development team, you will be responsible for building robust microservices, managing data pipelines across PostgreSQL and Amazon Redshift , and delivering performant, secure RESTful APIs used across web and mobile platforms. Youll work closely with iOS and Android engineers to ensure seamless end-to-end integration More ❯

experience across data engineering, cloud computing, or data warehousing Minimum 2 years in hands-on development capacity Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes and data More ❯

experience across data engineering, cloud computing, or data warehousing Minimum 2 years in hands-on development capacity Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes and data More ❯

innovation and technical excellence. Your Profile Essential skills/knowledge/experience: Deep hands-on experience with AWS Cloud-native data platforms, including: AWS Glue, Lambda, Step Functions, Athena, Redshift, S3, CloudWatch AWS SDKs, Boto3, and serverless architecture patterns Strong programming skills in Python and Apache Spark Proven experience in Snowflake data engineering, including: Snowflake SQL, Snowpipe, Streams & Tasks More ❯

innovation and technical excellence. Your Profile Essential skills/knowledge/experience: Deep hands-on experience with AWS Cloud-native data platforms, including: AWS Glue, Lambda, Step Functions, Athena, Redshift, S3, CloudWatch AWS SDKs, Boto3, and serverless architecture patterns Strong programming skills in Python and Apache Spark Proven experience in Snowflake data engineering, including: Snowflake SQL, Snowpipe, Streams & Tasks More ❯

data engineering experience , including at least 2 years hands-on with modern data platforms. Strong proficiency in SQL , data modelling, and query optimisation. Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric . Solid understanding of ETL/ELT pipelines and data warehousing principles . Strong communication and problem-solving skills. Ability to work both independently and collaboratively More ❯

data engineering experience , including at least 2 years hands-on with modern data platforms. Strong proficiency in SQL , data modelling, and query optimisation. Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric . Solid understanding of ETL/ELT pipelines and data warehousing principles . Strong communication and problem-solving skills. Ability to work both independently and collaboratively More ❯

sports betting, gaming, or a similar high-volume data environment. Strong coding skills in Python and advanced SQL expertise. Hands-on experience with AWS data tools (S3, Glue, Lambda, Redshift, Kinesis, etc.). Proficiency with Power BI (or equivalent data visualisation tools). Solid experience building and supporting data models for forecasting, pricing, or predictive analytics. Strong communication and More ❯

Engineer, particularly in data modelling. Strong SQL and hands-on dbt experience. Ability to convert business requirements into logical, scalable data models. Knowledge of cloud data platforms (e.g., Snowflake, Redshift, BigQuery). Strong communication and documentation skills. Structured, detail-oriented mindset. Desirable: Experience with semantic modelling tools (e.g., dbt SL, LookML). Familiarity with workflow orchestration and BI tooling. More ❯

Engineer, particularly in data modelling. Strong SQL and hands-on dbt experience. Ability to convert business requirements into logical, scalable data models. Knowledge of cloud data platforms (e.g., Snowflake, Redshift, BigQuery). Strong communication and documentation skills. Structured, detail-oriented mindset. Desirable: Experience with semantic modelling tools (e.g., dbt SL, LookML). Familiarity with workflow orchestration and BI tooling. More ❯

ll Bring Proven experience in data engineering, with a strong track record building AWS cloud data pipelines and data warehouses. Solid understanding of AWS services such as S3 and Redshift, particularly around storage, computation and security. Familiarity with modern BI tools such as Power BI or AWS QuickSight. Experience with open-source data stack tools like Airflow, DBT, Airbyte More ❯

ll Bring Proven experience in data engineering, with a strong track record building AWS cloud data pipelines and data warehouses. Solid understanding of AWS services such as S3 and Redshift, particularly around storage, computation and security. Familiarity with modern BI tools such as Power BI or AWS QuickSight. Experience with open-source data stack tools like Airflow, DBT, Airbyte More ❯

sources. Ensure the pipelines are optimized for performance, reliability, and maintainability. 🌳 AWS Expertise: Utilize AWS services for data storage, processing, and analytics. Leverage AWS technologies such as S3, Glue, Redshift, and others to build and maintain data solutions. Implement best practices for security and compliance in an AWS environment. 🌳 Python Programming: Demonstrate proficiency in Python programming for data processing More ❯

sources. Ensure the pipelines are optimized for performance, reliability, and maintainability. AWS Expertise: Utilize AWS services for data storage, processing, and analytics. Leverage AWS technologies such as S3, Glue, Redshift, and others to build and maintain data solutions. Implement best practices for security and compliance in an AWS environment. Python Programming: Demonstrate proficiency in Python programming for data processing More ❯

monitoring and observer ability toolsets inc. Splunk, Datadog Experience using Github Actions Experience using AWS RDS/SQL based solutions Experience using containerization in AWS Working data warehouse knowledge Redshift and Snowflake preferred Working with IaC – Terraform and Cloud Formation Working understanding of scripting languages including Python and Shell Experience working with streaming technologies inc. Kafka, Apache Flink Experience More ❯

monitoring and observer ability toolsets inc. Splunk, Datadog Experience using Github Actions Experience using AWS RDS/SQL based solutions Experience using containerization in AWS Working data warehouse knowledge Redshift and Snowflake preferred Working with IaC Terraform and Cloud Formation Working understanding of scripting languages including Python and Shell Experience working with streaming technologies inc. Kafka, Apache Flink Experience 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 ❯

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 ❯

most appropriate technologies, deploying final implementations on AWS. You’ll bring hands-on depth and knowledge in: Languages: Python, PySpark, SQL Technologies: Spark, Airflow Cloud: AWS (API Gateway, Lambda, Redshift, Glue, CloudWatch, etc.) Data Pipelines: Designing and building modern, cloud-native pipelines using AWS services In addition, you will require strong leadership skills and excellent communication abilities, with the More ❯

the most appropriate technologies, deploying final implementations on AWS. Youll bring hands-on depth and knowledge in: Languages: Python, PySpark, SQL Technologies: Spark, Airflow Cloud: AWS (API Gateway, Lambda, Redshift, Glue, CloudWatch, etc.) Data Pipelines: Designing and building modern, cloud-native pipelines using AWS services In addition, you will require strong leadership skills and excellent communication abilities, with the More ❯

will have the following skills and experience: Strong Python (python frameworks), backend development experience (3+ years) Experience working with AI/ML or big data systems. Familiarity with AWS , Redshift , or other cloud data platforms (GCP/Azure also welcome). Background in AdTech, MarTech or experience with Meta Marketing API or Google Ads API is a plus. Ability More ❯

will have the following skills and experience: Strong Python (python frameworks), backend development experience (3+ years) Experience working with AI/ML or big data systems. Familiarity with AWS , Redshift , or other cloud data platforms (GCP/Azure also welcome). Background in AdTech, MarTech or experience with Meta Marketing API or Google Ads API is a plus. Ability More ❯

Databricks) Deep hands-on experience with Databricks, Delta Live Tables (DLT), data modelling, data ingestion & integration Strong proficiency across Data Factory, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, GITHUB/DevOps tools, testing frameworks (SonarQube/PyTest) Proven experience leading data engineering teams while remaining actively hands-on involved in delivery Background within energy, utilities, commodities or More ❯

Databricks) Deep hands-on experience with Databricks, Delta Live Tables (DLT), data modelling, data ingestion & integration Strong proficiency across Data Factory, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, GITHUB/DevOps tools, testing frameworks (SonarQube/PyTest) Proven experience leading data engineering teams while remaining actively hands-on involved in delivery Background within energy, utilities, commodities or More ❯