Senior Delivery Consultant -Data Analytics & GenAI, AWS Professional Services Public Sector Job ID: Amazon Web Services Australia Pty Ltd Are you a Senior Data Analytics and GenAI consulting specialist? Do you have real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake, Data Engineering and GenAI experience? Do you have senior stakeholder engagement experience to … learn and use services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), AmazonElastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon DataZone, Amazon SageMaker, Amazon Quicksight and Amazon … clearance. PREFERRED QUALIFICATIONS - AWS Professional level certification - 10+ years of IT platform implementation in a technical and analytical role experience Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that More ❯
AWS Data Engineer London, UK Permanent Strong experience in Python, PySpark, AWS S3, AWS Glue, Databricks, Amazon Redshift … DynamoDB, CI/CD and Terraform. Total 7 + years of experience in Data engineering is required. Design, develop, and optimize ETL pipelines using AWS Glue, AmazonEMR and Kinesis for real-time and batch data processing. Implement data transformation, streaming, and storage solutions on AWS, ensuring scalability and performance. Collaborate with cross-functional teams to integrate … and manage data workflows. Skill-set Amazon Redshift, S3, AWS Glue, AmazonEMR, Kinesis Analytics Ensure data security, compliance, and best practices in cloud data engineering Experience with programming languages such as Python, Java, or Scala. More ❯
Drive the design development and implementation of complex data pipelines and ETL/ELT processes using cloud-native technologies (e.g. AWS Glue AWS Lambda AWS S3 AWS Redshift AWS EMR). Develop and maintain data quality checks data validation rules and data lineage documentation. Collaborate with data analysts data scientists business stakeholders and product owners to understand their data More ❯
data processing) Apache Spark Streaming, Kafka or similar (for real-time data streaming) Experience using data tools in at least one cloud service - AWS, Azure or GCP (e.g. S3, EMR, Redshift, Glue, Azure Data Factory, Databricks, BigQuery, Dataflow, Dataproc Would you like to join us as we work hard, have fun and make history? Apply for this job indicates More ❯
the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code More ❯
Pytest and Postman. Expertise in Pandas, SQL, and AWS analytics services (Glue, Athena, Redshift) for data profiling, transformation, and validation within data lakes. Solid experience with AWS (S3, Lambda, EMR, ECS/EKS, CloudFormation/Terraform) and understanding of cloud-native architectures and best practices. Advanced skills in automating API and backend testing workflows, ensuring robust and reliable system More ❯
be a fit if you have: Expertise in Cloud-Native Data Engineering: 3+ years building and running data pipelines in AWS or Azure, including managed data services (e.g., Kinesis, EMR/Databricks, Redshift, Glue, Azure Data Lake). Programming Mastery: Advanced skills in Python or another major language; writing clean, testable, production-grade ETL code at scale. Modern Data More ❯
optimised and efficient data marts and warehouses in the cloud) Work with Infrastructure as code (Terraform) and containerising applications (Docker) Work with AWS, S3, SQS, Iceberg, Parquet, Glue and EMR for our Data Lake Experience developing CI/CD pipelines More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for More ❯
multi-task Experience as part of an Agile engineering or development team Strong hands-on experience and understanding of working in a cloud environment such as AWS Experience with EMR (Elastic Map Reduce), Spark Strong experience with CI/CD pipelines with Jenkins Experience with the following technologies: SpringBoot, Gradle, Terraform, Ansible, GitHub/GitFlow, PCF/OCP/ More ❯
to London Big plus if you have the following: Experience in a startup environment where youve helped build infrastructure from the ground up. Familiarity with AWS services like S3, EMR, and technologies like Terraform and Docker. Know the ins and outs of current big data frameworks like Spark or Flink, but this is not an absolute requirement - youre a More ❯
Experience in a data-focused SRE, Data Platform, or DevOps role Strong knowledge of Apache Flink, Kafka, and Python in production environments Hands-on AWS experience with AWS (Lambda, EMR, Step Functions, Redshift, etc.) Comfortable with monitoring tools, distributed systems debugging, and incident response Reference Number: BBBH259303 To apply for this role or for to be considered for further More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Rise Technical Recruitment Limited
Experience in a data-focused SRE, Data Platform, or DevOps role *Strong knowledge of Apache Flink, Kafka, and Python in production environments *Hands-on AWS experience with AWS (Lambda, EMR, Step Functions, Redshift, etc.) *Comfortable with monitoring tools, distributed systems debugging, and incident response Reference Number: BBBH259303 To apply for this role or for to be considered for further More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Rise Technical Recruitment Limited
Experience in a data-focused SRE, Data Platform, or DevOps role*Strong knowledge of Apache Flink, Kafka, and Python in production environments*Hands-on AWS experience with AWS (Lambda, EMR, Step Functions, Redshift, etc.)*Comfortable with monitoring tools, distributed systems debugging, and incident response Reference Number: BBBH259303 To apply for this role or for to be considered for further More ❯
to London Big Plus If You Have The Following Experience in a startup environment where youve helped build infrastructure from the ground up. Familiarity with AWS services like S3, EMR, and technologies like Terraform and Docker. Know the ins and outs of current big data frameworks like Spark or Flink, but this is not an absolute requirement - youre a More ❯
Software Engineering using a high level language like Go, Java, JavaScript, Python Distributed Software Architecture exposure in high volume production scenarios Working with Data Mesh, BigData technologies such as EMR, Spark, Databricks Designing, tracking and testing to SLOs and Chaos Engineering to Error Budgets Implementing Business Continuity (BCP) and Disaster Recovery (DRP) plans including tracking RTO and RPO CryptoCurrency More ❯
range of business and customer data? Join our Pricing & Promotions Science, Data and Insights team, where you'll have the opportunity to continuously improve the systems that enable Amazon's … annual worldwide revenue of billions of dollars. Key job responsibilities - Design, build, and operate highly scalable, fault-tolerant data processing systems using modern AWS services like Redshift, S3, Glue, EMR, Kinesis, and Lambda, and orchestration systems using Airflow - Leverage your expertise in Python, Scala, or other modern programming languages to develop custom data processing frameworks and automation tools - Collaborate … large data sets - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with SQL - Experience with data audit and reconciliation strategies. - Experience with data pipeline orchestration frameworks, such as Airflow. - Experience with More ❯
Data Engineering Manager, Amazon Music Technology We are seeking an ambitious Data Engineering Manager to join our Metrics and Data Platform team. The Metrics and Data Platform team plays a critical role in enabling Amazon Music's business decisions and data-driven software development by collecting and providing behavioral and operational metrics to our internal teams. … a team of talented Data Engineers. Your team collects billions of events a day, manages petabyte-scale datasets on Redshift and S3, and develops data pipelines with Spark, SQL, EMR, and Airflow. You will collaborate with product and technical stakeholders to solve challenging data modeling, data availability, data quality, and data governance problems. At Amazon Music, engineering … or organization - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience hiring, developing and promoting engineering talent - Experience communicating to senior management and customers verbally and in writing PREFERRED QUALIFICATIONS - Experience with AWS Tools and Technologies (Redshift, S3, EC2 More ❯
part of our Engineering team in London. We design, develop and operate all data systems across the company. This includes ETL, our data warehouses, real-time click streams, and EMR to support personalisation of content to our users. We are looking for someone to help us as we continue to evolve the architecture and technology stack of our data … coupled with strong SQL skills. In addition, you will also have a strong desire to work with Docker, Kubernetes, Airflow and the AWS data technologies such as Athena, Redshift, EMR and various other tools in the AWS ecosystem. You would be joining a team of 25+ engineers across mobile, web, data and platform. We look for engineers who have More ❯
Applied Scientist, Supply Chain Optimization Job ID: Amazon UK Services Ltd. Amazon Supply Chain forms the backbone of the fastest growing e-commerce business in the world. The sheer growth of the business and the company's mission "to be Earth's most customer-centric company" makes the customer fulfillment business bigger and more complex with …/deviation analysis - Familiarity with Operations concepts - Planning, Forecasting, Optimization, and Customer experience - gained through work experience or graduate level education - Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2 Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions … is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver More ❯
such as Postgres, TimescaleDB, etc.) •Comfortable using and working in a polyglot computer language environment (Python, Go, Julia etc.) •Experience with Amazon Web Services (S3, EKS, ECR, EMR, etc.) •Experience with containers and orchestration (e.g. Docker, Kubernetes) •Experience with Big Data processing technologies (Spark, Hadoop, Flink etc) •Experience with interactive notebooks (e.g. JupyterHub, Databricks) •Experience with Git … for CE impact Experience with working with IoT and Edge interaction Remote Type Hybrid Remote Skills to succeed in the role Active Learning, Active Learning, Adaptability, Agile Methodology, Amazon Web Services (AWS), Automation Cloud, Cloud Infrastructure, Continuous Integration and Continuous Delivery Methodologies, Cost Optimization, Cross-Functional Work, Curiosity, Data Analysis, Digital Literacy, Disaster recovery and high availability, Docker More ❯
Coventry, Warwickshire, United Kingdom Hybrid / WFH Options
Sannik
from the model, with a focus on AWS S3 storage. • Collaborate with the development team to implement architectural changes and system tweaks. • Work with AWS services such as Lambda, EMR, and DynamoDB to optimize data management processes. • Utilize Spark for data processing and analysis tasks. • Ensure the integrity and security of data during the extraction and processing stages. • Troubleshoot … programming is essential. Strong understanding of cloud technologies, including AWS services such as S3, Lambda, and DynamoDB. Demonstrated experience with database management and backend development. Familiarity with tools like EMR and Spark for data processing. Ability to work independently and as part of a collaborative team. Excellent problem-solving and analytical skills. Prior experience in financial or mortgage industries More ❯
