1 to 25 of 27 Amazon Redshift Jobs in the South East

with the expectation to be in the London office 1-2 times per week. Key Responsibilities Deploy ML models as real-time endpoints using Amazon SageMaker * Build and manage batch inference pipelines * Implement CI/CD workflows for ML using Git-based processes * Containerize applications using Docker * Monitor model … CloudWatch * Automate data pipelines and feature workflows using Python & SQL * Ensure secure access and governance using AWS IAM and best practices Core AWS Stack Amazon SageMaker | Amazon S3 | Amazon Redshift | AWS Lambda | Amazon CloudWatch | AWS IAM What We're Looking For Strong hands-on experience ...

with the expectation to be in the London office 1-2 times per week. Key Responsibilities Deploy ML models as real-time endpoints using Amazon SageMaker * Build and manage batch inference pipelines * Implement CI/CD workflows for ML using Git-based processes * Containerize applications using Docker * Monitor model … CloudWatch * Automate data pipelines and feature workflows using Python & SQL * Ensure secure access and governance using AWS IAM and best practices Core AWS Stack Amazon SageMaker | Amazon S3 | Amazon Redshift | AWS Lambda | Amazon CloudWatch | AWS IAM What We're Looking For Strong hands-on experience ...

engineering, performance, security and long-term maintainability. Key experience required: • Active SC Clearance • Deep expertise across AWS data services such as Glue, Lambda, S3, Redshift, EMR, Athena and Step Functions • Strong Python and SQL development capability • Proven experience designing and building ETL or ELT pipelines in cloud environments • Experience ...

Collaborating closely with senior engineers and business stakeholders Requirements and Tech Stack You will have strong commercial experience in: AWS-based data engineering, including Redshift, S3, IAM and related services Building and maintaining data pipelines using Python and SQL Orchestration tools such as Airflow Data modelling and warehouse architecture ...

Skills and Experience You will bring: Strong commercial experience in Python and SQL. Expertise in GCP and a modern data warehouse such as Snowflake, Redshift, or BigQuery. Experience building and maintaining ETL pipelines and data models. Knowledge of orchestration tools such as Airflow or Dagster. Infrastructure-as-code experience ...

Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life outside work ...

reporting. Knowledge of ETL tools or frameworks (SSIS, Azure Data Factory, Informatica, etc.). Experience with data warehouse platforms (e.g., Snowflake, Azure Synapse, Amazon Redshift, SQL Server). Strong understanding of data transformation, aggregation, and performance tuning . Familiarity with DAX and Power Query in Power BI. Experience ...

Data Manipulation & Processing GitHub, GitHub Actions, Azure DevOps Azure Data Factory Databricks SQL Database Azure Synapse Stream Analytics AWS Glue Apache Airflow AWS Kinesis Amazon Redshift SonarQube PyTest Optional/Nice to Have Experience managing projects or running Scrum teams Experience with BPC/Planning solutions Exposure ...

XComs, task isolation, best practices) Strong across broader AWS services: S3, Lambda, Step Functions, IAM, CloudWatch, KMS, Secrets Manager, Athena, EMR (nice to have), Redshift (nice to have) Proven experience delivering multiple end-to-end programs (architecture build test deploy operate) with measurable outcomes (SLAs, cost targets, performance). … problem statements, success criteria, and measurable outcomes. Languages: Python (PySpark), SQL AWS: Glue, MWAA (Airflow), S3, IAM, KMS, CloudWatch, Lambda, Step Functions, Athena, Redshift (nice), EMR (nice) DevOps: Git, CI/CD (CodePipeline/GitHub Actions), Terraform/CloudFormation, Docker Data Quality/Observability: Great Expectations/Deequ (nice ...

XComs, task isolation, best practices) Strong across broader AWS services: S3, Lambda, Step Functions, IAM, CloudWatch, KMS, Secrets Manager, Athena, EMR (nice to have), Redshift (nice to have) Proven experience delivering multiple end-to-end programs (architecture build test deploy operate) with measurable outcomes (SLAs, cost targets, performance). … problem statements, success criteria, and measurable outcomes. Languages: Python (PySpark), SQL AWS: Glue, MWAA (Airflow), S3, IAM, KMS, CloudWatch, Lambda, Step Functions, Athena, Redshift (nice), EMR (nice) DevOps: Git, CI/CD (CodePipeline/GitHub Actions), Terraform/CloudFormation, Docker Data Quality/Observability: Great Expectations/Deequ (nice ...

XComs, task isolation, best practices) Strong across broader AWS services: S3, Lambda, Step Functions, IAM, CloudWatch, KMS, Secrets Manager, Athena, EMR (nice to have), Redshift (nice to have) Proven experience delivering multiple end-to-end programs (architecture build test deploy operate) with measurable outcomes (SLAs, cost targets, performance). … problem statements, success criteria, and measurable outcomes. Languages: Python (PySpark), SQL AWS: Glue, MWAA (Airflow), S3, IAM, KMS, CloudWatch, Lambda, Step Functions, Athena, Redshift (nice), EMR (nice) DevOps: Git, CI/CD (CodePipeline/GitHub Actions), Terraform/CloudFormation, Docker Data Quality/Observability: Great Expectations/Deequ (nice ...

XComs, task isolation, best practices) Strong across broader AWS services: S3, Lambda, Step Functions, IAM, CloudWatch, KMS, Secrets Manager, Athena, EMR (nice to have), Redshift (nice to have) Proven experience delivering multiple end-to-end programs (architecture build test deploy operate) with measurable outcomes (SLAs, cost targets, performance). … problem statements, success criteria, and measurable outcomes. Languages: Python (PySpark), SQL AWS: Glue, MWAA (Airflow), S3, IAM, KMS, CloudWatch, Lambda, Step Functions, Athena, Redshift (nice), EMR (nice) DevOps: Git, CI/CD (CodePipeline/GitHub Actions), Terraform/CloudFormation, Docker Data Quality/Observability: Great Expectations/Deequ (nice ...

XComs, task isolation, best practices) Strong across broader AWS services: S3, Lambda, Step Functions, IAM, CloudWatch, KMS, Secrets Manager, Athena, EMR (nice to have), Redshift (nice to have) Proven experience delivering multiple end-to-end programs (architecture build test deploy operate) with measurable outcomes (SLAs, cost targets, performance). … problem statements, success criteria, and measurable outcomes. Languages: Python (PySpark), SQL AWS: Glue, MWAA (Airflow), S3, IAM, KMS, CloudWatch, Lambda, Step Functions, Athena, Redshift (nice), EMR (nice) DevOps: Git, CI/CD (CodePipeline/GitHub Actions), Terraform/CloudFormation, Docker Data Quality/Observability: Great Expectations/Deequ (nice ...

XComs, task isolation, best practices) Strong across broader AWS services: S3, Lambda, Step Functions, IAM, CloudWatch, KMS, Secrets Manager, Athena, EMR (nice to have), Redshift (nice to have) Proven experience delivering multiple end-to-end programs (architecture build test deploy operate) with measurable outcomes (SLAs, cost targets, performance). … problem statements, success criteria, and measurable outcomes. Languages: Python (PySpark), SQL AWS: Glue, MWAA (Airflow), S3, IAM, KMS, CloudWatch, Lambda, Step Functions, Athena, Redshift (nice), EMR (nice) DevOps: Git, CI/CD (CodePipeline/GitHub Actions), Terraform/CloudFormation, Docker Data Quality/Observability: Great Expectations/Deequ (nice ...

XComs, task isolation, best practices) Strong across broader AWS services: S3, Lambda, Step Functions, IAM, CloudWatch, KMS, Secrets Manager, Athena, EMR (nice to have), Redshift (nice to have) Proven experience delivering multiple end-to-end programs (architecture build test deploy operate) with measurable outcomes (SLAs, cost targets, performance). … problem statements, success criteria, and measurable outcomes. Languages: Python (PySpark), SQL AWS: Glue, MWAA (Airflow), S3, IAM, KMS, CloudWatch, Lambda, Step Functions, Athena, Redshift (nice), EMR (nice) DevOps: Git, CI/CD (CodePipeline/GitHub Actions), Terraform/CloudFormation, Docker Data Quality/Observability: Great Expectations/Deequ (nice ...

XComs, task isolation, best practices) Strong across broader AWS services: S3, Lambda, Step Functions, IAM, CloudWatch, KMS, Secrets Manager, Athena, EMR (nice to have), Redshift (nice to have) Proven experience delivering multiple end-to-end programs (architecture build test deploy operate) with measurable outcomes (SLAs, cost targets, performance). … problem statements, success criteria, and measurable outcomes. Languages: Python (PySpark), SQL AWS: Glue, MWAA (Airflow), S3, IAM, KMS, CloudWatch, Lambda, Step Functions, Athena, Redshift (nice), EMR (nice) DevOps: Git, CI/CD (CodePipeline/GitHub Actions), Terraform/CloudFormation, Docker Data Quality/Observability: Great Expectations/Deequ (nice ...

XComs, task isolation, best practices) Strong across broader AWS services: S3, Lambda, Step Functions, IAM, CloudWatch, KMS, Secrets Manager, Athena, EMR (nice to have), Redshift (nice to have) Proven experience delivering multiple end-to-end programs (architecture build test deploy operate) with measurable outcomes (SLAs, cost targets, performance). … problem statements, success criteria, and measurable outcomes. Languages: Python (PySpark), SQL AWS: Glue, MWAA (Airflow), S3, IAM, KMS, CloudWatch, Lambda, Step Functions, Athena, Redshift (nice), EMR (nice) DevOps: Git, CI/CD (CodePipeline/GitHub Actions), Terraform/CloudFormation, Docker Data Quality/Observability: Great Expectations/Deequ (nice ...

Senior Data Engineer Deep expertise in Kafka (MSK or Confluent) and real-time data architectures Strong AWS data platform experience (S3, Kinesis, Glue, Redshift, Lambda, ECS/EKS) Experience designing both real-time and batch systems at enterprise scale Excellent documentation and stakeholder communication skills Nice to Have Databricks ...

solutions Strong skills in Python, SQL, and ML libraries (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow) Hands-on experience with AWS ML services (SageMaker, Lambda, Redshift) Ability to clearly communicate insights to non-technical stakeholders Strong analytical thinking, collaboration skills, and a results-driven mindset Role responsibilities: Build, tune ...

Mathematics, Statistics, Economics, or a related field. Proficiency in data analysis tools and programming languages such as SAS,SQL, & Python . Experience with Amazon Quick site & AWS Redshift. Experience in working with large datasets and data visualisation tools and strong MS Excel skills . Knowledge of credit risk modelling ...

experience deploying and monitoring ML models in production Understanding of model evaluation metrics, data drift, overfitting, and feature importance Experience with AWS services (S3, Redshift, etc.) Hands-on experience with Grafana for monitoring Familiarity with Domino Data Lab (desirable) Strong knowledge of CI/CD, version control, Docker, Kubernetes ...

ROLE: A remote working Analytics Engineer will need to: Design and build data models Support implementation and maintenance of ELT pipelines Ingest data into Redshift Utilise tools like Fivetran Transform data using DBT YOUR SKILLS AND EXPERIENCE: A successful Analytics Engineer will have the following skills and experience: Ability ...

Senior Data Engineer Central London (2-3 days a week) Salary £90,000 plus benefits. This is an excellent opportunity to take ownership of a modern AWS data platform within a growing financial organisation. You ...

usability of platform logs and event data for analytics and AI use cases Manage and structure data stored within AWS environments including S3 and Redshift Develop and maintain analytics-ready datasets using dbt as the core transformation tool Skills and Experience Experience working as a Data Engineer or similar … role, ideally within a SaaS or technology-driven environment Strong SQL experience and confidence working with modern cloud data warehouses such as AWS Redshift Strong Python experience for building and maintaining production data pipelines, working with APIs, logs and semi-structured data Experience using dbt to build and manage ...

usability of platform logs and event data for analytics and AI use cases Manage and structure data stored within AWS environments including S3 and Redshift Develop and maintain analytics-ready datasets using dbt as the core transformation tool Skills and Experience Experience working as a Data Engineer or similar … role, ideally within a SaaS or technology-driven environment Strong SQL experience and confidence working with modern cloud data warehouses such as AWS Redshift Strong Python experience for building and maintaining production data pipelines, working with APIs, logs and semi-structured data Experience using dbt to build and manage ...