1 to 25 of 26 Amazon Athena Jobs in the UK excluding London

deployment strategies. Solid knowledge of infrastructure as code using AWS CloudFormation and Terraform to automate and manage cloud resources. Experience developing ETL workflows using AWS Glue, querying data with Athena, and managing access and governance with Lake Formation. Strong command of AWS Lambda for serverless data processing and Boto3 for programmatic interaction with AWS services. Demonstrated experience working with More ❯

deployment strategies. Solid knowledge of infrastructure as code using AWS CloudFormation and Terraform to automate and manage cloud resources. Experience developing ETL workflows using AWS Glue, querying data with Athena, and managing access and governance with Lake Formation. Strong command of AWS Lambda for serverless data processing and Boto3 for programmatic interaction with AWS services. Demonstrated experience working with More ❯

deployment strategies. Solid knowledge of infrastructure as code using AWS CloudFormation and Terraform to automate and manage cloud resources. Experience developing ETL workflows using AWS Glue, querying data with Athena, and managing access and governance with Lake Formation. Strong command of AWS Lambda for serverless data processing and Boto3 for programmatic interaction with AWS services. Demonstrated experience working with More ❯

Overview The team currently uses Kubernetes (EKS) and AWS. AWS technologies include: CloudFormation using Python Lambda DynamoDB Kinesis Data Streams S3 CloudFront CloudTrail CloudWatch Athena Grafana Prometheus CI/CD Processes GitLab is used for CI/CD processes with a strong emphasis on security. Supported Development Technologies The platform team will be initially supporting teams that develop applications More ❯

data strategy, risk mitigation, and platform evolution. Mentor and develop data engineering talent, fostering a high-performance culture. Requirements: Extensive hands-on experience with AWS data tools: Glue, PySpark, Athena, Iceberg, Lake Formation. Strong proficiency in Python and SQL. Proven leadership in data engineering strategy and execution. Deep understanding of market data and its business applications. Experience with Databricks More ❯

and maintaining data pipelines in a live environment. Data Storage Solutions: Familiarity with data lakes, warehousing, and other data storage patterns. Advanced Tools: Experience with tools like Kafka, Jenkins, Athena, or Spark. This role will require 4 days per week onsite in the office in Camden , this is not optional and you must be open to this in order More ❯

Act as a subject matter expert, guiding technical direction and mentoring junior engineers. What We're Looking For: Strong hands-on experience with AWS data engineering tools: Glue, PySpark, Athena, Iceberg, Lake Formation , etc. Proficiency in Python and SQL for data processing and analysis. Deep understanding of data governance, quality, and security best practices. Experience working with market data More ❯

Act as a subject matter expert, guiding technical direction and mentoring junior engineers. What We're Looking For: Strong hands-on experience with AWS data engineering tools: Glue, PySpark, Athena, Iceberg, Lake Formation , etc. Proficiency in Python and SQL for data processing and analysis. Deep understanding of data governance, quality, and security best practices. Experience working with market data More ❯

ecosystem. Key Skills & Experience: Proven experience as a Senior/Lead Data Engineer in a large-scale environment. Strong expertise with AWS data services (e.g., S3, Glue, Lambda, Redshift, Athena, EMR). Experience designing and building data lakes and modern data platforms. Proficiency with Python, SQL, and data pipeline orchestration tools (e.g., Airflow, dbt). Strong understanding of data More ❯

impact, get in touch ASAP as interviews are already taking place. Don't miss out! Key Skills: AWS, Data, Architecture, Data Engineering, Data Warehousing, Data Lakes, Databricks, Glue, Pyspark, Athena, Python, SQL, Machine Learning, London More ❯

development workflows. Good written and verbal communication; able to contribute to cross-functional discussions. Proven problem-solving and time management skills. Desirable: Familiarity with cloud services (e.g. AWS S3, Athena, Lambda). Basic understanding of data engineering or ML pipelines. Knowledge of distributed systems (e.g. Kafka). Interest in American sports or the betting industry. Some exposure to .NET More ❯

development workflows. Good written and verbal communication; able to contribute to cross-functional discussions. Proven problem-solving and time management skills. Desirable: Familiarity with cloud services (e.g. AWS S3, Athena, Lambda). Basic understanding of data engineering or ML pipelines. Knowledge of distributed systems (e.g. Kafka). Interest in American sports or the betting industry. Some exposure to .NET More ❯

development workflows. Good written and verbal communication; able to contribute to cross-functional discussions. Proven problem-solving and time management skills. Desirable: Familiarity with cloud services (e.g. AWS S3, Athena, Lambda). Basic understanding of data engineering or ML pipelines. Knowledge of distributed systems (e.g. Kafka). Interest in American sports or the betting industry. Some exposure to .NET More ❯

and encouraged. We have an excellent international reputation with staff from over 60 different nations and have made a positive commitment towards gender equality and intersectionality, receiving a Silver Athena SWAN award. We truly believe that diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and students, so we encourage applications from all More ❯

on scenario training into our cyber security apprenticeships. The Project Ares platform offers a totally immersive experience, using automated features to support skills adoption with an in-game advisor, Athena, who advises our players through scenario-based challenges. The platform scenarios replicate the unpredictability and escalating levels of complexity that cyberattacks can present. It drives high levels of engagement More ❯

on scenario training into our cyber security apprenticeships. The Project Ares platform offers a totally immersive experience, using automated features to support skills adoption with an in-game advisor, Athena, who advises our players through scenario-based challenges. The platform scenarios replicate the unpredictability and escalating levels of complexity that cyberattacks can present. It drives high levels of engagement More ❯

consultants Build strong customer relationships Support managed services as required Essential Requirements 3+ years consulting/managed services experience Solid Data Lake experience with AWS data solutions (Redshift, Glue, Athena, Lake Formation) Advanced AWS skills (EC2, S3, VPC, IAM, Lambda) Infrastructure as Code experience (CloudFormation/Terraform) AWS Solutions Architect Associate certification Strong communication and presentation abilities Desirable Skills More ❯

as a Lead Data Engineer/Technical Architect in complex government or regulated environments. Strong background in Power BI , data modelling, and dashboard optimisation. Hands-on expertise with AWS (Athena/Redshift advantageous). Excellent stakeholder management – able to influence, challenge, and guide non-technical colleagues. Why this role? This is a chance to own the blueprint for a More ❯

as a Lead Data Engineer/Technical Architect in complex government or regulated environments. Strong background in Power BI , data modelling, and dashboard optimisation. Hands-on expertise with AWS (Athena/Redshift advantageous). Excellent stakeholder management – able to influence, challenge, and guide non-technical colleagues. Why this role? This is a chance to own the blueprint for a More ❯

as a Lead Data Engineer/Technical Architect in complex government or regulated environments. Strong background in Power BI , data modelling, and dashboard optimisation. Hands-on expertise with AWS (Athena/Redshift advantageous). Excellent stakeholder management – able to influence, challenge, and guide non-technical colleagues. Why this role? This is a chance to own the blueprint for a More ❯

AWS Lead Data Engineer, who will build, and lead the development of scalable data pipelines and platforms on AWS. The ideal candidate will have deep expertise in PySpark, Glue, Athena, AWS LakeFormation, data modelling, DBT, Airflow, Docker and will be responsible for driving best practices in data engineering, governance, and DevOps. Key Responsibilities: • Lead the design and implementation of … or Master’s degree in Computer Science, Engineering, or related field. • 10+ years of experience in data engineering. • Strong hands-on experience with AWS services: S3, Glue, Lake Formation, Athena, Redshift, Lambda, IAM, CloudWatch. • Proficiency in PySpark, Python, DBT, Airflow, Docker and SQL. • Deep understanding of data modeling techniques and best practices. • Experience with CI/CD tools and More ❯

AWS Lead Data Engineer, who will build, and lead the development of scalable data pipelines and platforms on AWS. The ideal candidate will have deep expertise in PySpark, Glue, Athena, AWS LakeFormation, data modelling, DBT, Airflow, Docker and will be responsible for driving best practices in data engineering, governance, and DevOps. Key Responsibilities: • Lead the design and implementation of … or Master’s degree in Computer Science, Engineering, or related field. • 10+ years of experience in data engineering. • Strong hands-on experience with AWS services: S3, Glue, Lake Formation, Athena, Redshift, Lambda, IAM, CloudWatch. • Proficiency in PySpark, Python, DBT, Airflow, Docker and SQL. • Deep understanding of data modeling techniques and best practices. • Experience with CI/CD tools and More ❯

AWS Lead Data Engineer, who will build, and lead the development of scalable data pipelines and platforms on AWS. The ideal candidate will have deep expertise in PySpark, Glue, Athena, AWS LakeFormation, data modelling, DBT, Airflow, Docker and will be responsible for driving best practices in data engineering, governance, and DevOps. Key Responsibilities: • Lead the design and implementation of … or Master’s degree in Computer Science, Engineering, or related field. • 10+ years of experience in data engineering. • Strong hands-on experience with AWS services: S3, Glue, Lake Formation, Athena, Redshift, Lambda, IAM, CloudWatch. • Proficiency in PySpark, Python, DBT, Airflow, Docker and SQL. • Deep understanding of data modeling techniques and best practices. • Experience with CI/CD tools and More ❯

of real-time and batch ETL processes, ensuring accuracy, integrity, and scalability across vast datasets. You'll work with Python, SQL, Apache Spark, and AWS services such as EMR, Athena, and Lambda to deliver robust, high-performance solutions.You'll also play a key role in optimising data pipeline architecture, supporting knowledge sharing within the team, and collaborating with stakeholders … our client in conjunction with this vacancy only. KEY SKILLS:Data Engineer/Python/SQL/AWS/ETL/Data Pipelines/Apache Spark/EMR/Athena/Lambda/Big Data/Manchester/Hybrid Working More ❯

cloud experience in an operational capacity. AWS or Azure Certification is nice to have, strong experience with a desire to complete certification will be considered Hands-on experience with Amazon Web Services (AWS), including but not limited to core IaaS (IAM, VPC, EC2, S3, EBS, ELB) and native AWS PaaS Services (Lambda, AWS Config, EMR, Athena, EKS, etc. More ❯