10 of 10 Permanent Amazon EMR Jobs in Central London

governance, and observability through integrated tooling ( CloudWatch , CloudTrail , Prometheus , Grafana , and centralised observability). What you'll bring: Proven experience with AWS cloud data platforms , including EKS, EC2, S3, EMR, Lambda , and VPC design . Expertise in Infrastructure as Code (Terraform) and container orchestration (Kubernetes, Docker) , with strong automation and templating skills. Hands-on experience with CI/CD More ❯

and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion … transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate … and knowledge-sharing Mandatory Skills Description: - 5+ years of experience in data engineering or software development - Strong proficiency in Python and PySpark - Hands-on experience with AWS services, especially EMR, S3, Lambda, and Glue - Deep understanding of Snowflake architecture and performance tuning - Solid grasp of data modeling, warehousing concepts, and SQL optimization - Familiarity with CI/CD tools (e.g. More ❯

DevOps tools and techniques. What You’ll Bring Proven experience in DevOps or a similar engineering role. Proven experience deploying and managing AWS infrastructure (EC2, S3, RDS, Lambda, Glue, EMR, VPC, IAM, Redshift, etc.). Strong background in Terraform for infrastructure as code. Expertise in CI/CD automation using GitHub Actions. Hands-on experience managing Linux environments and More ❯

DevOps tools and techniques. What You’ll Bring Proven experience in DevOps or a similar engineering role. Proven experience deploying and managing AWS infrastructure (EC2, S3, RDS, Lambda, Glue, EMR, VPC, IAM, Redshift, etc.). Strong background in Terraform for infrastructure as code. Expertise in CI/CD automation using GitHub Actions. Hands-on experience managing Linux environments and More ❯

ML techniques, A/B testing methodologies, and experiment design. Solid background in ranking, recommendation, and retrieval systems. Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.). Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy. Bonus: Experience with geospatial data and advanced analytics platforms. More ❯

to shape it with us. Your role will involve: • Designing and developing scalable, testable data pipelines using Python and Apache Spark • Orchestrating data workflows with AWS tools like Glue, EMR Serverless, Lambda, and S3 • Applying modern software engineering practices: version control, CI/CD, modular design, and automated testing • Contributing to the development of a lakehouse architecture using Apache … building ETL pipelines Has experience with or is eager to learn Apache Spark for large-scale data processing Is familiar with the AWS data stack (e.g. S3, Glue, Lambda, EMR) Enjoys learning the business context and working closely with stakeholders • Works well in Agile teams and values collaboration over solo heroics Nice-to-haves: It’s great (but not More ❯

Performance-related bonus Private medical care And many more Role and Responsibilities Develop and maintain AWS-based data pipelines using Python, PySpark, Spark SQL, AWS Glue, Step Functions, Lambda, EMR, and Redshift. Design, implement, and optimise data architecture for scalability, performance, and security. Work closely with business and technical stakeholders to understand requirements and translate them into robust solutions. … client workshops, gather feedback, and provide technical guidance. Required Skills & Experience Strong hands-on experience in Python, PySpark, and Spark SQL. Proven expertise in AWS Glue, Step Functions, Lambda, EMR, and Redshift. Solid understanding of cloud architecture, security, and scalability best practices. Experience designing and implementing CI/CD pipelines for data workflows. Proven ability to structure solutions, solve More ❯

bring Strong commercial experience with PHP 8+ (Laravel or Symfony preferred) Solid skills in JavaScript/TypeScript, Node.js (NestJS), and React.js Experience with AWS services (Aurora, MSK Kafka, ECS, EMR) Strong database skills (MySQL and other data paradigms) What’s on offer 4 days onsite in a brand-new Camden office with modern facilities, gym, and yoga studio Private More ❯

and collaborating with cross-functional teams to meet client objectives. What you’ll do Design and maintain AWS data pipeline architecture Develop solutions using Python, AWS Glue, Step Functions, EMR and Redshift Implement CI/CD pipelines and ensure best practices for security and scalability Work closely with developers, architects, and analysts on data initiatives Required Skillset 5+ years … professional experience in Data engineering roles Strong Python programming experience Hands-on AWS services: Glue, Lambda, Step Functions, EMR, Redshift Proficiency with PySpark and Spark SQL Understanding of infrastructure, deployment strategies, and capacity planning Experience with CI/CD in AWS Financial background More ❯

shooting , Responsible to BAU Support. Manage Incident/Change/Problem/Asset Management using ITSM tool Service Now. Perform RHEL System Administration on RHEL7/8 and Amazon Linux 2. Support development teams with their AWS (Amazon Web Services) deployments and troubleshoot issues. Assist in configuration through amendment of Chef Cookbooks Troubleshoot and fix any … renewals. Oversee user and permission management Required Skills Experience with ITIL and Agile working environments Strong Linux System Administration experience Strong Knowledge in AWS services EC2, ELB, RDS, ECS,EMR, S3, Config, CloudTrail, EFS, Lambda, VPC and IAM DevOps Experience using Jenkins, Gitlab or GitHub andJira Having used enterprise identity management softwaresuch as RedHat Identity Manager for server andapplication … Nice to have Experience with DevOps methodology, continuousintegration, and delivery (CI/CD) and related tools Knowledge of Docker or container-based systems Knowledge of AWS Services, such as EMR, Connect,CloudFormation, Lambda, SNS and SQS Knowledge ofChef and/or Ruby AWS or RHEL certification More ❯