1 to 25 of 30 Amazon Athena Jobs in England

build, and own batch-oriented data pipelines and ETL workflows using: AWS Glue for distributed processing AWS Lambda and AWS Step Functions for orchestration Amazon S3 as the central data lake Develop and optimize ingestion pipelines using AWS-native services such as AppFlow, DMS, and limited use of Kinesis …/Firehose for ingestion Build and maintain analytical data models and query layers using: Amazon Athena Amazon Redshift ClickHouse Design and integrate data workflows with backend microservices running on Amazon ECS Collaborate with backend engineers to build and extend microservices that expose data capabilities via APIs ...

that fuel analytics, AI/ML, and data-driven operations.* Design and build high-performance data integration solutions: Use AWS Glue, AWS Step Functions, Amazon EventBridge, and AWS Database Migration Service (DMS) to orchestrate ingestion, transformation, and movement of data across on-premises and cloud sources into Amazon … Design and oversee the delivery of secure lakehouse and warehouse architectures: Implement logical and physical data models, data quality controls, and governance practices using Amazon S3 (data lake), AWS Lake Formation, Amazon Redshift, and Amazon Athena to ensure trusted data.* Ability to design AI/ ...

query optimization. Data warehousing and dimensional modelling concepts. AWS Skills Expected Candidate should have experience with one or more of the following AWS services: Amazon S3 AWS Glue Amazon EMR AWS Lambda AWS Step Functions Amazon Redshift Amazon Athena Amazon RDS/Aurora … Amazon CloudWatch AWS Secrets Manager Data Modelling Skills Star Schema Snowflake Schema Dimensional Modeling Data Vault Data Warehouse Design Data Lake Architecture Data Formats Experience working with: Parquet Avro JSON CSV ORC CI/CD & DevOps Git GitHub GitLab Bitbucket Jenkins GitHub Actions GitLab CI/CD AWS DevOps ...

quality assurance and testing activities within a large-scale cloud data engineering programme operating across a modern AWS-native technology ecosystem, including Apache Airflow, Amazon Athena, AWS Glue, S3, EMR, DynamoDB, and related cloud services. This role combines hands-on technical leadership with test strategy ownership . … Support infrastructure testing and validation within Terraform-managed cloud environments Contribute to continuous improvement initiatives across testing and delivery processes Technology Stack Apache Airflow, Amazon Athena, AWS S3, AWS Glue, AWS EMR, AWS EC2, AWS ECR, AWS DynamoDB, AWS CloudWatch, AWS IAM, Python, SQL, Java, Bash, GitLab ...

solutions that meet complex business needs and support informed decision-making. Experience Required: Strong AWS expertise, including tools such as Glue, Lambda, Kinesis, EMR, Athena, DynamoDB, CloudWatch, SNS and Step Functions. Skilled in modern programming, particularly Python, Java, Scala and PySpark. Solid knowledge of data storage and big data ...

cloud. Proven experience in on-prem to AWS data migration using AWS-native tools such as DMS, Glue, DataSync, Step Functions, Redshift, Athena, Lambda, RDS, EC2, S3 Data Lake, and CloudWatch. Strong knowledge of data extraction, transformation, and loading (ETL) processes, leveraging tools such as Talend, Informatica, Matillion, Pentaho ...

drive business insights.Be a Databricks champion or have some Databricks certificationsAWSWork hands-on with AWS services such as Redshift, Glue, Lake Formation, SageMaker, Athena, and moreStrong hands-on expertise with AWS services (e.g. Redshift, Glue, Lake Formation, SageMaker).AWS Certified ArchitectAdditional InfoSecurity Clearance: To be successfully appointed to this ...

Schema OBT Knowledge of modern architectures: Medallion Lambda Kappa Experience building or contributing to cloud-based data platforms AWS preferred Familiarity with: S3 Glue Athena Data Science & MLOps Exposure to: data analysis MLOps feature engineering Curiosity and willingness to go deeper in these areas Why you’ll love ...

years of hands‐on experience working with AWS cloud services. Strong expertise in AWS data and analytics services, including: AWS Lambda AWS Glue Amazon S3 AWS Lake Formation Amazon Athena Experience building Lakehouse architectures and modern data platforms. Experience working with data formats such as Parquet ...

Essential Experience building data pipelines Understanding of data modelling and data structures Familiarity with Agile delivery methods Experience with AWS (e.g. EC2, RDS, Lambda, Athena, Glue) Knowledge of relational and NoSQL databases Python or similar scripting language Experience with test-driven development Preferred CI tools (e.g. Jenkins, Drone) Infrastructure ...

support data engineers at all levels, influencing how data engineering evolves within GBR. The technologies in use include Redshift, EC2, Glue, Lambda, Kinesis Firehose, Athena, and S3. Proficiency in Python, SQL, and Bash is essential. You’ll encounter a wide range of source systems, from legacy technology patterns ...

prescriptive insigh ts.ETL & Data Engineering: Experience designing scalable ETL/ELT pipelines using modern tools and framewor ks.Cloud Platforms: Familiarity with AWS (Redshift, Athena, S3) or Azure (Synapse, Data Lake, AD F).Data Governance: Understanding of GDPR, PII, and secure data management principl es.Communication: Strong data storytelling skills ...

robust + secure Java software solutions using Core Java and Spring Boot . AWS Cloud Services including: AWS S3, AWS Lambda, AWS Step Functions, Athena, Glue, DynamoDB, OpenSearch, CloudFormation, API Gateway, ECS, CloudWatch. Technical Environment: Core Java, Spring Boot, AWS Cloud Services, AngularJS , Jenkins, NodeJS, SQL/NoSQL databases ...

from data lakes and lakehouses to real-time streaming pipelines, business intelligence, and advanced analytics leveraging the breadth of AWS’s analytics portfolio, including Amazon Redshift, Athena, EMR, Glue, Kinesis, QuickSight, and OpenSearch. You’ll serve as a trusted technical advisor to enterprise customers navigating complex analytics modernisation … leadership, workshops, and reference architectures. Key job responsibilities Architect analytics solutions — design data lake, lakehouse, warehouse, and streaming architectures using AWS analytics services (Redshift, Athena, EMR, Glue, Kinesis, QuickSight, OpenSearch). Lead analytics modernisation — guide customers migrating from legacy platforms (Teradata, Oracle, Netezza, Hadoop) to cloud‐native analytics, including ...

technologies Practical experience developing production‐scale Cloud‐native data engineering solutions in commercial environments Familiarity with Cloud Data engineering services (e.g., ETL, Glue, S3, Athena) and MLOps stack Demonstrated experience leading effective use of enterprise‐authorized AI‐assisted software development tools within the work environment (e.g., for coding, code ...

measured Desireable: Experience writing complex validation logic using tools like Great Expectations, dbt tests, Elementary, Soda, or Deequ. Familiarity with AWS data services ( S3, Athena, Glue ) Experience working with data lakes or modern data warehouses ( Snowflake, Redshift, BigQuery ) A pragmatic problem solver who can balance technical excellence with business ...

Establishing architectural frameworks (e.g. data vault, dimensional modelling, medallion architecture) Leading the design of cloud data platforms (AWS) – including services like Redshift, S3, Glue, Athena Evaluating and introducing new technologies (e.g. Iceberg, Delta Lake, observability tools) Driving data governance, standards, and best practice Acting as a trusted advisor ...

applications using Python , Node.js , and modern development frameworks. Design, develop, and support cloud-based solutions across AWS , including services such as EC2, Lambda, Amplify, Athena, Cognito, S3, Redshift , & related technologies. Host, manage, & maintain custom applications across AWS and Zoho Catalyst . Develop and maintain secure, reliable API integrations between ...

compliance reporting pipelines that meet the requirements of the UK Gambling Commission and international licensing bodies Working with AWS services including S3, Glue, Lambda, Athena, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, and MWAA – selecting the right tool for each problem rather than defaulting to a stack Practice … just present options You've grown engineering talent around you and take it seriously as a leadership responsibility Primary cloud AWS – Glue, Lambda, Athena, S3, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, MWAA Streaming Languages Python, SQL, Spark dbt, Airflow/AWS MWAA, AWS Glue Platforms Databricks, Snowflake ...

compliance reporting pipelines that meet the requirements of the UK Gambling Commission and international licensing bodies Working with AWS services including S3, Glue, Lambda, Athena, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, and MWAA – selecting the right tool for each problem rather than defaulting to a stack Practice … just present options You've grown engineering talent around you and take it seriously as a leadership responsibility Primary cloud AWS – Glue, Lambda, Athena, S3, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, MWAA Streaming Languages Python, SQL, Spark dbt, Airflow/AWS MWAA, AWS Glue Platforms Databricks, Snowflake ...

based programming languages & good working knowledge of python. Experience building and operating data pipelines and analytical systems using technologies such as Google BigQuery, Amazon Athena, or ClickHouse. Experience with distributed data processing frameworks such as Apache Spark and/or Apache Flink. Experience with messaging and streaming systems … Exposure to agent-based architectures and emerging protocols such as the Model Context Protocol (MCP). Experience with MLOps tools and platforms (e.g., MLflow, Amazon SageMaker, Google VertexAI, Databricks, BentoML, KServe, Kubeflow) #ICBCareer #ICBEngineering ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice ...

infrastructure engineering concepts and advanced applied experience in Cloud technologies including Kubernetes, Terraform and AWS Data Lake technologies (e.g. Snowflake, Databricks, AWS Glue/Athena, Lake Formation) Demonstrated experience using enterprise‐authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness ...

infrastructure engineering concepts and advanced applied experience in cloud technologies including Kubernetes, Terraform and AWS. Data Lake technologies (e.g. Snowflake, Databricks, AWS Glue/Athena, Lake Formation). Demonstrated experience using enterprise‐authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits ...

within a broadly evolving and heterogeneous technology landscape, notably encompassing:Compute & Services: Java, .NET, Python, Cloud-native microservicesData & Analytics: Databricks, Microsoft Fabric, AWS Glue, Athena, Event Streaming (e.g., Kafka)AI & ML: Azure OpenAI, LLM Integration patterns, Vector DatabasesIntegration & Storage: Azure Data Factory (ADF), SQL Server, Enterprise relational platformsInfrastructure: Azure ...

within a collaborative delivery team, providing data analysis expertise and acting as the bridge between business and technical stakeholders. Key Responsibilities Use SQL and Athena to query, analyse and test data across multiple data sources. Validate and test business rules and logic using SQL/Athena. Identify and document … through show-and-tell sessions and stakeholder presentations. Skills & Experience Active SC Clearance (live clearance is essential). Strong SQL skills with experience using Amazon Athena . Proven experience analysing and validating complex datasets. Experience defining, documenting and testing business logic and rules. Knowledge of CDLZ or POLEv2 ...