25 of 25 Remote Amazon Athena Jobs in London

that address complex business requirements and drive decision-making. Your skills and experience Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions. Programming Skills: Strong More ❯

and automated deployments. Have excellent knowledge of AWS services (ECS, IAM, EC2, S3, DynamoDB, MSK). Our Technology Stack: Python and Scala Starburst and Athena Kafka and Kinesis DataHub ML Flow and Airflow Docker and Terraform Kafka, Spark, Kafka Streams and KSQL DBT AWS, S3, Iceberg, Parquet, Glue and More ❯

optimizing data delivery, re-designing infrastructure for greater scalability and performance. Essential Skills and Experience: Hands-on experience with AWS services, including Lambda, Glue, Athena, RDS, and S3. Strong SQL skills for data transformation, cleaning, and loading. Strong coding experience with Python and Pandas. Experience of data pipeline and More ❯

optimizing data delivery, re-designing infrastructure for greater scalability and performance. Essential Skills and Experience: ·Hands-on experience with AWS services, including Lambda, Glue, Athena, RDS, and S3. ·Strong SQL skills for data transformation, cleaning, and loading. ·Strong coding experience with Python and Pandas. ·Experience with any flavour of More ❯

with DBT, building and maintaining modular, scalable data models that follow best practices Strong understanding of dimensional modelling Familiarity with AWS data services (S3, Athena, Glue) Experience with Airflow for scheduling and orchestrating workflows Experience working with data lakes or modern data warehouses (Snowflake, Redshift, BigQuery) A pragmatic problem More ❯

warehouse and lakehouse solutions for analytics, reporting, and machine learning. Implement ETL/ELT processes using tools such as Apache Airflow, AWS Glue, and Amazon Athena . Work with cloud-native technologies to support scalable, serverless architectures. Collaborate with data science teams to streamline feature engineering and model … Expertise in Snowflake and modern data architectures. Experience designing and managing data pipelines, ETL, and ELT workflows . Knowledge of AWS services such as Athena, Glue, and EMR. Experience working closely with data scientists and ML engineers . Strong problem-solving skills and ability to work independently. Whats on More ❯

Engineering colleagues. What you'll need Required: Experience designing and building high throughput, scalable, resilient, and secure data pipelines. Experience with AWS technologies: Glue, Athena, S3, Step Functions, Lambda, RDS (Aurora Postgres), DMS, Redshift, QuickSight, Kinesis Firehose. Expert knowledge of SQL. Hands-on experience with Kafka. Hands-on experience More ❯

integrating and automating business workflows, including data-driven processes and system integrations. Familiarity with analytics platforms and tools such as GCP (BigQuery), AWS (Glue, Athena), or Azure Databricks. Proficiency in Python or .NET, with experience in both or the ability to quickly learn new technologies. Experience with front-end More ❯

data engineering, preferably in financial services or similar regulated industries.//Proven experience with AWS services (e.g. S3, Redshift, Lambda, ECS, Eventbridge, CloudWatch, Athena etc.) for building and maintaining scalable data solutions in the cloud.//Proficient programming skills in Python.//Advanced knowledge in SQL. More ❯

data engineering, preferably in financial services or similar regulated industries.//Proven experience with AWS services (e.g. S3, Redshift, Lambda, ECS, Eventbridge, CloudWatch, Athena etc.) for building and maintaining scalable data solutions in the cloud.//Proficient programming skills in Python.//Advanced knowledge in SQL. More ❯

deliver scalable AWS data solutions while mentoring junior engineers. Key Responsibilities: Lead the development and implementation of AWS data components, including Firehose, Glue, Lambda, Athena, Redshift, and Quicksight. Support junior engineers through technical guidance, mentoring, and task leadership. Collaborate with cloud architects to evolve our MVP data platform toward More ❯

deliver scalable AWS data solutions while mentoring junior engineers. Key Responsibilities: Lead the development and implementation of AWS data components, including Firehose, Glue, Lambda, Athena, Redshift, and Quicksight. Support junior engineers through technical guidance, mentoring, and task leadership. Collaborate with cloud architects to evolve our MVP data platform toward More ❯

digital performance optimisation Familiarity with BI tools (e.g. Looker, Tableau) for storytelling and dashboard creation Understanding of cloud-based data platforms (e.g. AWS, Redshift, Athena) or similar A proactive, ownership-driven attitude with a passion for data quality assurance Background in adtech, telecoms, retail, or digital services is a More ❯

digital performance optimisation Familiarity with BI tools (e.g. Looker, Tableau) for storytelling and dashboard creation Understanding of cloud-based data platforms (e.g. AWS, Redshift, Athena) or similar A proactive, ownership-driven attitude with a passion for data quality assurance Background in adtech, telecoms, retail, or digital services is a More ❯

/EKS experience. Implementing pipeline security controls, such as SAST, vulnerability scanning, and code linting. Monitoring and securing infrastructure using AWS services like CloudWatch, Athena, Config, and CloudTrail. Why join us - This is an opportunity to use your technical capabilities to support one of the most important challenges of More ❯

/EKS experience. Implementing pipeline security controls, such as SAST, vulnerability scanning, and code linting. Monitoring and securing infrastructure using AWS services like CloudWatch, Athena, Config, and CloudTrail. Why join us - This is an opportunity to use your technical capabilities to support one of the most important challenges of More ❯

time, and to continue our growth, we are recruiting a Senior Software Engineer focusing on Python for our Software Team. Our Tech Stack: AWS, Athena SQL, Athena Spark, ECS, Azure, Azure Synapse SQL & Spark, Python, Flask, Fast API, Redis, Postgres, React, Plotly, Docker. We will potentially add GCP More ❯

robust data pipelines using AWS native services (Glue, Lambda, Step Functions, S3, etc.) Develop and optimize data lake and data warehouse solutions using Redshift, Athena, and related technologies Collaborate with data scientists, analysts, and business stakeholders to understand data requirements Ensure data quality, governance, and compliance with financial regulations … in cloud-native environments (AWS preferred) Strong proficiency with Python and SQL Extensive hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Familiarity with DevOps practices and infrastructure-as-code (e.g., Terraform, CloudFormation) Solid understanding of More ❯

robust data pipelines using AWS native services (Glue, Lambda, Step Functions, S3, etc.) Develop and optimize data lake and data warehouse solutions using Redshift, Athena, and related technologies Collaborate with data scientists, analysts, and business stakeholders to understand data requirements Ensure data quality, governance, and compliance with financial regulations … in cloud-native environments (AWS preferred) Strong proficiency with Python and SQL Extensive hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Familiarity with DevOps practices and infrastructure-as-code (e.g., Terraform, CloudFormation) Solid understanding of More ❯

and deploy ML models (including Hugging Face Transformers) as microservices on AWS. Build, train, and evaluate models using AWS tools like SageMaker, Bedrock, Glue, Athena, and Redshift. Develop secure APIs with Apigee and build automation pipelines using Jenkins, Maven, and more. Support the full ML lifecycle including monitoring, governance … a dynamic environment Tech Stack Languages & Frameworks: Python, R, SQL, Flask, FastAPI Tools: Hugging Face, Apigee, Jenkins, Git, RStudio, Jupyter Cloud: AWS (SageMaker, Glue, Athena, Redshift, Bedrock, ECS Fargate, Lambda) Please apply online for consideration. More ❯

and deploy ML models (including Hugging Face Transformers) as microservices on AWS. Build, train, and evaluate models using AWS tools like SageMaker, Bedrock, Glue, Athena, and Redshift. Develop secure APIs with Apigee and build automation pipelines using Jenkins, Maven, and more. Support the full ML lifecycle including monitoring, governance … a dynamic environment Tech Stack Languages & Frameworks: Python, R, SQL, Flask, FastAPI Tools: Hugging Face, Apigee, Jenkins, Git, RStudio, Jupyter Cloud: AWS (SageMaker, Glue, Athena, Redshift, Bedrock, ECS Fargate, Lambda) Please apply online for consideration. More ❯

culture of innovation, collaboration, and continuous development. Key Responsibilities: Design, develop, test, and deploy data integration pipelines in AWS using services like Redshift, Glue, Athena, Lambda, and S3. Lead a team of data engineers, guiding their technical work and fostering professional development. Create technical documentation, including architecture diagrams, test … consistent and scalable reporting experience. Essential Qualifications & Experience: 10+ years of experience in data engineering or data integration roles using AWS (e.g. Redshift, Glue, Athena, Lambda, S3). 5–8 years of management or team leadership experience. 5–8 years in a consulting or client-facing delivery role (preferred More ❯

culture of innovation, collaboration, and continuous development. Key Responsibilities: Design, develop, test, and deploy data integration pipelines in AWS using services like Redshift, Glue, Athena, Lambda, and S3. Lead a team of data engineers, guiding their technical work and fostering professional development. Create technical documentation, including architecture diagrams, test … consistent and scalable reporting experience. Essential Qualifications & Experience: 10+ years of experience in data engineering or data integration roles using AWS (e.g. Redshift, Glue, Athena, Lambda, S3). 5–8 years of management or team leadership experience. 5–8 years in a consulting or client-facing delivery role (preferred More ❯

role in designing and implementing AI-driven solutions, leveraging Large Language Models (LLMs), Generative AI, Open-Source AI tools, and AWS technologies such as Athena and SageMaker . This position requires strong technical expertise, problem-solving skills, and the ability to work collaboratively within a global AI-focused team. … and machine learning models, with a focus on NLP and Generative AI . Design, implement, and deploy scalable AI solutions using AWS services , including Athena, SageMaker, and Lambda. Work with LLMs and Open-Source AI frameworks , ensuring model efficiency and accuracy. Collaborate with cross-functional teams to integrate AI … PyTorch, and Hugging Face. Extensive experience in NLP and Generative AI , including working with large-scale language models. Proficiency in AWS cloud computing , including Athena, SageMaker, and related AI/ML services. Experience in AI model optimisation, fine-tuning, and deployment in production environments. Strong analytical skills with the More ❯

ownership of data pipelines and support the growing use of AI and LLMs. You’ll be hands-on with AWS services (S3, Glue, Redshift, Athena etc..) and play a key role in managing and evolving our data infrastructure. Job Title: Data Engineer – AWS & LLM (Hybrid, London) Salary … RAG architecture integration Write clean code and conduct peer reviews Collaborate across teams to drive business value through data Requirements: AWS: S3, Glue, Redshift, Athena Solid coding skills Exposure to LLMs, RAG, AI agents Commercial awareness—understand business impact Comfortable in a fast-paced, high-responsibility environment Why Join More ❯