1 to 25 of 29 Amazon EMR Jobs in the UK excluding London

methodologies. Required Experience & Skills Proven experience as a Data Engineer with a strong focus on AWS cloud technologies. Proficiency in AWS services such as S3, Glue, Redshift, Lambda, Athena, EMR, and DynamoDB. Strong programming skills in Python and SQL. Experience with data modeling, ETL processes, and data warehousing concepts. Knowledge of infrastructure-as-code tools (e.g., Terraform or CloudFormation More ❯

methodologies. Required Experience & Skills Proven experience as a Data Engineer with a strong focus on AWS cloud technologies. Proficiency in AWS services such as S3, Glue, Redshift, Lambda, Athena, EMR, and DynamoDB. Strong programming skills in Python and SQL. Experience with data modeling, ETL processes, and data warehousing concepts. Knowledge of infrastructure-as-code tools (e.g., Terraform or CloudFormation More ❯

Have: ● Familiarity with data security, privacy, and compliance frameworks ● Exposure to machine learning pipelines, MLOps, or AI-driven data products ● Experience with big data platforms and technologies such as EMR, Databricks, Kafka, Spark ● Exposure to AI/ML concepts and collaboration with data science or AI teams. ● Experience integrating data solutions with AI/ML platforms or supporting AI More ❯

Have: ● Familiarity with data security, privacy, and compliance frameworks ● Exposure to machine learning pipelines, MLOps, or AI-driven data products ● Experience with big data platforms and technologies such as EMR, Databricks, Kafka, Spark ● Exposure to AI/ML concepts and collaboration with data science or AI teams. ● Experience integrating data solutions with AI/ML platforms or supporting AI More ❯

Proven experience as a Data Architect or Lead Data Engineer in AWS environments* Deep understanding of cloud-native data services: S3, Redshift, Glue, Athena, EMR, Kinesis, Lambda* Strong hands-on expertise in data modelling, distributed systems, and pipeline orchestration (Airflow, Step Functions)* Background in energy, trading, or financial markets is a strong plus* Excellent knowledge of Python, SQL, and More ❯

sessions, whiteboarding, and asynchronous collaboration to deliver high-quality solutions. Contribute to the technical growth of the team through knowledge sharing, mentoring, and innovation. Technologies & Tools: AWS Cloud Services : EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB Programming & Scripting : Java, Python, Scala, Spark, SQL API integrations, data extraction, and transformation workflows Experience with big data processing, analytics, and scalable architectures Qualifications More ❯

sessions, whiteboarding, and asynchronous collaboration to deliver high-quality solutions. Contribute to the technical growth of the team through knowledge sharing, mentoring, and innovation. Technologies & Tools: AWS Cloud Services : EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB Programming & Scripting : Java, Python, Scala, Spark, SQL API integrations, data extraction, and transformation workflows Experience with big data processing, analytics, and scalable architectures Qualifications More ❯

sessions, whiteboarding, and asynchronous collaboration to deliver high-quality solutions. Contribute to the technical growth of the team through knowledge sharing, mentoring, and innovation. Technologies & Tools: AWS Cloud Services : EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB Programming & Scripting : Java, Python, Scala, Spark, SQL API integrations, data extraction, and transformation workflows Experience with big data processing, analytics, and scalable architectures Qualifications More ❯

automation. Strong Terraform knowledge for environment provisioning and infrastructure-as-code. Hands-on Power BI skills (deployment pipelines, DAX optimisation, refresh scheduling). Proficiency with AWS (Redshift, S3, Lambda, EMR). Python scripting for automation, logging and integrations. Strong SQL for large-scale data processing. Familiarity with Docker/Kubernetes a plus. WHY APPLY? Own the GitHub Actions–Terraform More ❯

automation. Strong Terraform knowledge for environment provisioning and infrastructure-as-code. Hands-on Power BI skills (deployment pipelines, DAX optimisation, refresh scheduling). Proficiency with AWS (Redshift, S3, Lambda, EMR). Python scripting for automation, logging and integrations. Strong SQL for large-scale data processing. Familiarity with Docker/Kubernetes a plus. WHY APPLY? Own the GitHub Actions–Terraform More ❯

automation. Strong Terraform knowledge for environment provisioning and infrastructure-as-code. Hands-on Power BI skills (deployment pipelines, DAX optimisation, refresh scheduling). Proficiency with AWS (Redshift, S3, Lambda, EMR). Python scripting for automation, logging and integrations. Strong SQL for large-scale data processing. Familiarity with Docker/Kubernetes a plus. WHY APPLY? Own the GitHub Actions–Terraform More ❯

automation. Strong Terraform knowledge for environment provisioning and infrastructure-as-code. Hands-on Power BI skills (deployment pipelines, DAX optimisation, refresh scheduling). Proficiency with AWS (Redshift, S3, Lambda, EMR). Python scripting for automation, logging and integrations. Strong SQL for large-scale data processing. Familiarity with Docker/Kubernetes a plus. WHY APPLY? Own the GitHub Actions–Terraform More ❯

for data and BI assets. Proven Terraform expertise for infrastructure-as-code. Strong Power BI skills including deployment pipelines, DAX and data model optimisation. AWS experience (Redshift, S3, Lambda, EMR). Python scripting for automation and monitoring. Advanced SQL for data transformation. Jira-to-code integration knowledge desirable. WHY APPLY? Be the go-to person for GitHub Actions , Terraform More ❯

for data and BI assets. Proven Terraform expertise for infrastructure-as-code. Strong Power BI skills including deployment pipelines, DAX and data model optimisation. AWS experience (Redshift, S3, Lambda, EMR). Python scripting for automation and monitoring. Advanced SQL for data transformation. Jira-to-code integration knowledge desirable. WHY APPLY? Be the go-to person for GitHub Actions , Terraform More ❯

for data and BI assets. Proven Terraform expertise for infrastructure-as-code. Strong Power BI skills including deployment pipelines, DAX and data model optimisation. AWS experience (Redshift, S3, Lambda, EMR). Python scripting for automation and monitoring. Advanced SQL for data transformation. Jira-to-code integration knowledge desirable. WHY APPLY? Be the go-to person for GitHub Actions , Terraform More ❯

for data and BI assets. Proven Terraform expertise for infrastructure-as-code. Strong Power BI skills including deployment pipelines, DAX and data model optimisation. AWS experience (Redshift, S3, Lambda, EMR). Python scripting for automation and monitoring. Advanced SQL for data transformation. Jira-to-code integration knowledge desirable. WHY APPLY? Be the go-to person for GitHub Actions , Terraform More ❯

junior engineers and sharing best practices Staying ahead of the curve with emerging data technologies What You'll Bring: Solid hands-on experience with AWS (Glue, Lambda, S3, Redshift, EMR) Strong Python, SQL, and PySpark skills Deep understanding of data warehousing and lakehouse concepts Problem-solving mindset with a focus on performance and scalability Excellent communication skills across technical More ❯

Overview The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in … and scalable AI solutions for business problems Interact with customers directly to understand the business problem, assist in the implementation of their ML ecosystem Leverage Foundation Models on Amazon Bedrock and Amazon SageMaker to meet performance needs Analyze large historical data to automate and optimize key processes Communicate clearly with attention to detail, translating rigorous mathematical … compelling customer proposals and present to executives; proficient English communication in technical and business settings Preferred Qualifications Experience with AWS services (Amazon SageMaker, Amazon Bedrock, EMR, S3, EC2); AWS Certification (Solutions Architect Associate, ML Engineer Associate) preferred Knowledge of AI/ML, generative AI; hands-on prompt engineering and deploying hosting Large Foundational Models Experience More ❯

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: As a Data More ❯

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: As a Data More ❯

alongside Associates, Mid-level Engineers, and Senior/Principal engineers. What You'll Do: Design, build, and scale data pipelines and services using AWS Glue, Lambda, Step Functions, S3, EMR, Athena, and more. Lead projects involving serverless, event-driven architectures and CI/CD workflows (GitLab CI). Write clean, production-grade code in Python (Scala is a bonus … Actively mentor Data Engineers and Associates, and lead technical discussions and design sessions. Key requirements: Must-Have: Strong experience with AWS services: Glue, Lambda, S3, Athena, Step Functions, EventBridge, EMR, EKS, RDS, Redshift, DynamoDB. Strong Python development skills. Proficient with Docker , containerization, and virtualization. Hands-on experience with CI/CD , especially GitLab CI. Solid experience with Infrastructure as 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 ❯

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 ❯

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 ❯

of event-driven architecture and CQRS Experience working on high availability , high throughput platforms (ideally OLTP) Strong working knowledge of AWS services such as Aurora, MSK Kafka, ECS, and EMR A track record of building efficient, scalable database queries in MySQL and working with multiple data paradigms (RDBMS, Document, KV Stores) Proficiency with DevOps tools , Docker , CI/CD More ❯