18 of 18 Amazon Athena Jobs in London

various businesses and gaining an overview of many different sectors. What We’re Looking For 5 + years, hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Strong experience engineering in a front-office/capital markets environment. Previous experience in implementing best practices for data More ❯

various businesses and gaining an overview of many different sectors. What We’re Looking For 5 + years, hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Strong experience engineering in a front-office/capital markets environment. Previous experience in implementing best practices for data More ❯

various businesses and gaining an overview of many different sectors. What We’re Looking For 10 + years, hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Strong experience engineering in a front-office/capital markets environment. Previous experience in implementing best practices for data More ❯

various businesses and gaining an overview of many different sectors. What We’re Looking For 10 + years, hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Strong experience engineering in a front-office/capital markets environment. Previous experience in implementing best practices for data More ❯

of innovation and technical excellence. Your Profile Essential skills/knowledge/experience: Deep hands-on experience with AWS Cloud-native data platforms, including: AWS Glue, Lambda, Step Functions, Athena, Redshift, S3, CloudWatch AWS SDKs, Boto3, and serverless architecture patterns Strong programming skills in Python and Apache Spark Proven experience in Snowflake data engineering, including: Snowflake SQL, Snowpipe, Streams More ❯

of innovation and technical excellence. Your Profile Essential skills/knowledge/experience: Deep hands-on experience with AWS Cloud-native data platforms, including: AWS Glue, Lambda, Step Functions, Athena, Redshift, S3, CloudWatch AWS SDKs, Boto3, and serverless architecture patterns Strong programming skills in Python and Apache Spark Proven experience in Snowflake data engineering, including: Snowflake SQL, Snowpipe, Streams More ❯

engage with clients, learn domain knowledge, be proactive and curious in addition to standard tech would be ideal for the role. Tech Stack: AWS - S3 for storage, Lambda functions, Athena (thus strong SQL), Glue, Glue Data Catalog Python Current frontend is Tableau but experience with any of them will be interchangeable DevOps experience a bonus e.g. Terraform, Drone, Kubernetes More ❯

and innovating with cutting-edge innovation and leadership? We're on the look out for a Senior Data Engineer who has experience in: AWS - S3 for storage, Lambda functions, Athena (thus strong SQL). Open to interchangable Azure experience. Databricks Python Devops experience a bonus e.g. Terraform, Drone, Kubernetes cluster management for microservice style API data consumption Consultative behaviour More ❯

and innovating with cutting-edge innovation and leadership? We're on the look out for a Senior Data Engineer who has experience in: AWS - S3 for storage, Lambda functions, Athena (thus strong SQL). Open to interchangable Azure experience. Databricks Python Devops experience a bonus e.g. Terraform, Drone, Kubernetes cluster management for microservice style API data consumption Consultative behaviour More ❯

slow data pipelines and queries. Systems integration experience: networking, data migrations, API integration and design. Enthusiasm for clean systems, including documentation, logging, and reproducibility. Experience working with AWS S3, Athena, ECS, Cloud Formation, Lambdas & Cloudwatch. Familiar with analytics tools such as Power BI, Plotly/Dash, or similar for building interactive and impactful visualizations. Passion for TDD. More ❯

slow data pipelines and queries. Systems integration experience: networking, data migrations, API integration and design. Enthusiasm for clean systems, including documentation, logging, and reproducibility. Experience working with AWS S3, Athena, ECS, Cloud Formation, Lambdas & Cloudwatch. Familiar with analytics tools such as Power BI, Plotly/Dash, or similar for building interactive and impactful visualizations. Passion for TDD. More ❯

or similar Cloud data ecosystem (AWS) : hands-on experience with core AWS data services. Key services include: S3 for data lake storage AWS Glue for ETL and data cataloging Amazon Redshift or Athena for data warehousing and analytics Lambda for event-driven data processing. ETL/ELT pipeline development : experience in designing, building, and maintaining robust, automated data More ❯

Data Analyst (Athena) - Active SC essential Westminster or Croydon - approx 2 days per month on site Initial contract until the end of the financial year - extension possible We are looking for an experienced AWS/Athena Data Analyst to support a high-profile government project. The role involves designing, developing, and optimising data queries and analytics solutions using … AWS services, with a strong focus on Athena and S3-based data lakes. Key responsibilities: Develop and maintain SQL queries in AWS Athena for large-scale datasets Optimise data retrieval and ensure efficient performance across AWS environments Collaborate with stakeholders to translate business requirements into actionable insights Work with AWS services such as Glue, Lambda, and S3 for … ETL and data processing Ensure compliance with government data security and governance standards Essential skills: Strong proficiency in SQL and AWS Athena Hands-on experience with AWS data services (Glue, S3, Lambda) Knowledge of data modelling and performance tuning Excellent analytical and problem-solving skills Ability to work within secure government environments Desirable: Experience with Python for data manipulation More ❯

and maintain reliable, observable ETL/ELT workflows using Airflow and managed cloud services. Focus on Python-first implementations, high-quality SQL, Airflow orchestration, and query engines such as Athena, Trino, or ClickHouse. Required Skills: Hands-on software development and data engineering experience. Must have strong financial or trading background. Strong Python & SQL skills: writing clean, testable code following … SOLID principles. Hands-on experience using Athena, Trino, ClickHouse, or other distributed SQL engines and knowledge of cost/scan optimization. Experience with cloud platforms (AWS/Azure/GCP): working with object storage, managed query services, and data catalogs. More ❯

and maintain reliable, observable ETL/ELT workflows using Airflow and managed cloud services. Focus on Python-first implementations, high-quality SQL, Airflow orchestration, and query engines such as Athena, Trino, or ClickHouse. Required Skills: Hands-on software development and data engineering experience. Must have strong financial or trading background. Strong Python & SQL skills: writing clean, testable code following … SOLID principles. Hands-on experience using Athena, Trino, ClickHouse, or other distributed SQL engines and knowledge of cost/scan optimization. Experience with cloud platforms (AWS/Azure/GCP): working with object storage, managed query services, and data catalogs. More ❯

impact on both the product and the business. Primary Responsibilities Design and implement the core data stack end-to-end, working across ingestion, processing, and delivery systems (S3/Athena, Neon Postgres, Tinybird, Modal, Dagster). Define the strategy for integrating AI/ML models and LLMs into data workflows for automated enrichment and agentic features. Develop entity-matching … Are a hands-on leader who can both build and scale a data function over time. Take ownership, empower others, and drive meaningful change Tech Stack: Cloud & storage: S3, Athena, Glue Databases: Neon Postrgres, Tinybird Compute & Orchestration: Modal, Dagster Languages: Python, SQL AI/ML: LLMs, agentic workflows Benefits Currently Offered: £130K–£150K base salary + meaningful equity as More ❯

impact on both the product and the business. Primary Responsibilities Design and implement the core data stack end-to-end, working across ingestion, processing, and delivery systems (S3/Athena, Neon Postgres, Tinybird, Modal, Dagster). Define the strategy for integrating AI/ML models and LLMs into data workflows for automated enrichment and agentic features. Develop entity-matching … Are a hands-on leader who can both build and scale a data function over time. Take ownership, empower others, and drive meaningful change Tech Stack: Cloud & storage: S3, Athena, Glue Databases: Neon Postrgres, Tinybird Compute & Orchestration: Modal, Dagster Languages: Python, SQL AI/ML: LLMs, agentic workflows Benefits Currently Offered: £130K–£150K base salary + meaningful equity as More ❯

Level 4) to join a high-profile government data transformation programme. The role will support an existing team, working across data modelling, analytics, and performance optimisation within the AWS Athena environment.This is not a data engineering or build role; it’s focused on understanding, analysing, and optimising existing data models and SQL scripts to improve efficiency, structure, and insight … of the role, active SC clearance is required.Key Responsibilities Analyse and interpret existing SQL/NoSQL scripts, optimising performance and accuracy. Review, document, and enhance data models in AWS Athena and related warehousing environments. Provide insight and recommendations on data modelling standards, table structures, and query logic. Support the wider MIDAS analytical and engineering team on data validation and … Skills & Experience Proven experience as a Data Analyst or Data Modeller within large, data-driven organisations. Strong proficiency in SQL (writing, debugging, and optimising scripts). Experience with AWS Athena and related data warehousing/analytics tools (e.g. Redshift). Understanding of data modelling principles — normalisation, star/snowflake schemas, and metadata management. Knowledge of both SQL and NoSQL More ❯