1 to 25 of 28 Remote Amazon Athena Jobs in the UK

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 ❯

React or Angular good but not necessary) Agile The following is DESIRABLE, not essential: AWS or GCP Buy-side Data tools such as Glue, Athena, Airflow, Ignite, DBT, Arrow, Iceberg, Dremio Fixed Income performance, risk or attribution TypeScript and Node Role: Python Developer (Software Engineer Programmer Developer Python Fixed … in the office 1-2 times a week. The tech environment is very new and will soon likely include exposure to the following: Glue, Athena, Airflow, Ignite, DBT, Arrow, Iceberg, Dremio This is an environment that has been described as the only corporate environment with a start-up/ 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 ❯

and external data delivery. Familiarity with one or more of the following would also be beneficial: Scala AWS services like Kinesis, RDS, Elasticache, S3, Athena, Data pipeline, Glue, Lambda, EMR, Spark, EC2, ECS, CloudWatch or Elastic Beanstalk Jenkins or similar tools would also be a plus. A team player More ❯

internal and external data delivery. Familiarity one or more of the following would also be beneficial : Scala AWS services like Kinesis, RDS, Elasticache, S3, Athena, Data pipeline, Glue, Lambda, EMR, Spark, EC2, ECS, CloudWatch or Elastic Beanstalk Jenkins or similar tools would also be a plus A team player 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 ❯

in cyber insurance or cyber security. Prior experience or willingness to learn how to work with large datasets and big data technologies (Snowflake, AWS Athena) 100% medical coverage, including out-patient care Life insurance 25+ paid holidays Annual home office stipend Mental and physical health wellness programs like Headspace More ❯

in cyber insurance or cyber security. Prior experience or willingness to learn how to work with large datasets and big data technologies (Snowflake, AWS Athena) 100% medical coverage, including out-patient care Life insurance 25+ paid holidays Annual home office stipend Mental and physical health wellness programs like Headspace 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 ❯

work US East Coast hours from the UK is essential for this position In-depth AWS knowledge – CloudWatch (ESSENTIAL), EC2, ECS, S3, RDS, Lambda, Athena and Systems Manager. Expertise in Linux, ideally RHEL (Rocky) – ESSENTIAL AWS SysOps certification is desirable Bash Scripting, Python, Terraform, Ansible CI/CD and 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 ❯

/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 ❯

a significant advantage. Solid proficiency in SQL for data querying, transformation, and optimisation. Hands-on experience with AWS services such as Redshift, S3, and Athena is highly desirable. Proven ability to work autonomously, take ownership of projects, and proactively identify solutions. Strong analytical and problem-solving skills, with the 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 ❯

SnapLogic for streamlined pipeline development. Strong experience working with cloud-based data services, especially within AWS environments, utilizing tools like Lambda, S3, Redshift, Glue, Athena and Secrets Manager. Skilled in building modern data warehouses on platforms like Amazon Redshift, Snowflake, or Databricks. If you are interested in this 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 ❯

Senior Data Engineer - Data Infrastructure and Architecture: C-4 Analytics C-4 Analytics is a fast-growing, private, full-service digital marketing company that excels at helping automotive dealerships increase sales, increase market share, and lower cost per acquisition. We More ❯

Summary Yelp engineering culture is driven by our values : we're a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first week, and we strive to broaden individual impact 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 ❯