and develop data-driven solutions to support business growth. Responsibilities: Work with teams to understand objectives and define analytics goals. Develop data analysis strategies using AWS services like Redshift, Athena, EMR, and QuickSight. Create data pipelines and ETL processes for data extraction and transformation. Apply statistical and machine learning techniques for predictive and segmentation analyses. Develop KPIs and dashboards … for decision-making using Amazon QuickSight. Perform exploratory data analysis to identify trends and insights. Collaborate with data engineers to optimize data architecture and governance. Requirements: Bachelor's or master's in Computer Science, Statistics, Mathematics, or related fields. Experience as a Data Scientist, especially with AWS analytics. Proficiency in AWS services like Redshift, Athena, EMR, QuickSight. Knowledge More ❯
influence our data strategy to support business growth. Responsibilities: Understand business objectives, data requirements, and analytics goals with cross-functional teams. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes for data extraction, transformation, and loading. Apply statistical and machine learning techniques for predictive and … or master's degree in Computer Science, Statistics, Mathematics, or related field. Proven experience as a Data Scientist, especially with AWS analytics services. Strong proficiency in AWS tools: Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, and data warehousing concepts. Skills in statistical analysis, data mining, and machine learning. Proficiency in Python, R, or Scala for data analysis More ❯
Delivery Consultant - Data Analytics & GenAI, AWS Professional Services Public Sector Job ID: Amazon Web Services Australia Pty Ltd Are you a Data Analytics and GenAI specialist? Do you have real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake, Data Engineering and GenAI experience? Do you like to solve the most complex and high scale (billions+ … decisions and desired customer outcomes. Key job responsibilities: Expertise: Collaborate with pre-sales and delivery teams to help partners and customers learn and use services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, AmazonAthena, AWS Lake Formation … Amazon DataZone, Amazon SageMaker, Amazon Quicksight and Amazon Bedrock. Solutions: Deliver technical engagements with partners and customers. This includes participating in pre-sales visits, understanding customer requirements, creating consulting proposals and creating packaged data analytics service offerings. Delivery: Engagements include projects proving the use of AWS services to support new distributed computing solutions that often span More ❯
and recommendations, shaping our data strategy and driving growth. Responsibilities: Understand business objectives, define data requirements, and set analytics goals. Develop data analysis strategies using AWS services like Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes from diverse sources into AWS. Apply statistical and machine learning techniques for predictive and segmentation analyses. Develop KPIs … and dashboards using Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Work with data engineers to optimize data architecture, quality, and governance. Requirements: Bachelor's or master's in Computer Science, Statistics, Mathematics, or related fields. Experience as a Data Scientist, preferably with AWS analytics. Proficiency in AWS services like Redshift, AthenaMore ❯
analysis strategies, building data pipelines, applying machine learning techniques, creating dashboards, and optimizing data architecture. Responsibilities: Understand business objectives and define analytics goals. Develop strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes. Apply statistical and machine learning techniques for analysis. Create dashboards and KPIs for decision-making. Conduct exploratory More ❯
you looking for real world Supply Chain challenges? Do you have a desire to make a major contribution to the future, in the rapid growth environment of Cloud Computing? Amazon Web Services is looking for a highly motivated Data Scientist to help build scalable, predictive and prescriptive business analytics solutions that supports AWS Supply Chain and Procurement organization. You … that answer those questions. Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers. About the team Diverse Experiences: Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career … is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies More ❯
driven solutions and shape our data strategy to support business growth. Responsibilities Work with teams to understand objectives, data needs, and analytics goals. Develop strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for diverse data sources. Apply statistical and machine learning techniques for analysis and pattern recognition. Create KPIs More ❯
data strategies and support business growth. Responsibilities Collaborate with teams to understand objectives, define data requirements, and set analytics goals. Develop and implement analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for diverse data sources. Apply statistical and machine learning techniques for predictive and pattern analyses. Identify key More ❯
Arlington, Virginia, United States Hybrid / WFH Options
Agile Defense, Inc
FBI CJIS, and ISO. Knowledge of SQL Server 2016 Master Data Services (MDS). Knowledge of database and programming tools such as SQL Server and Visual Studio. Knowledge of Amazon S3 and AWS Athena query tool. Understanding of Master Data Repository concept. Understanding of Data Warehouse concept. Familiarity with Microsoft Visual Studio. Experience Requirements: 5+ years of data More ❯
London, England, United Kingdom Hybrid / WFH Options
ZipRecruiter
Engineer , you will play a key role in designing and implementing AI-driven solutions, leveraging Large 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. Key Responsibilities Develop and optimise … AI 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-driven capabilities into business applications. Conduct performance optimisation and …/ML frameworks such as TensorFlow, PyTorch, and Hugging Face. Extensive experience in NLP and Generative AI , including working with large-scale 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 ability to solve complex AI More ❯
clean, reliable, query-ready assets that drive decisions across pharmacy operations, commercial, and digital teams. You'll design and build robust, automated data pipelines using AWS services like Glue, Athena, Lambda, and S3. You’ll enforce data quality SLA's, improve observability, utilise best practices in data engineering, and collaborate with analysts and stakeholders. Responsibilities Data Architecture: Design and … automated data validation, anomaly detection, lineage, and auditability; enforce consistent naming, access controls, and compliance with GDPR and healthcare standards. Performance & Cost Optimisation: Tune pipelines and query layers (Glue, Athena) for performance and cost efficiency; advise on modelling strategies and decommission underutilised resources. DevOps & Automation: Manage infrastructure as code; automate CI/CD workflows for deployments and schema changes … or equivalent experience). 5+ years of experience in data engineering, with a focus on analytics and platform scalability. Strong hands-on experience with AWS data services - particularly Glue, Athena, S3, Lambda, and Step Functions. Solid understanding of data modelling principles for analytics - including partitioning, denormalisation, and file formats (e.g., Parquet, ORC). Experience building and maintaining production-grade More ❯
recommendations, shaping our data strategy and supporting business growth. Responsibilities: Collaborate with teams to understand objectives and define analytics goals. Develop data analysis strategies using AWS services like Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction, transformation, and loading. Apply statistical and machine learning techniques for predictive and segmentation analyses. Develop KPIs and … AWS. Requirements: Bachelor's or master's in Computer Science, Statistics, Mathematics, or related. Experience as a Data Scientist, especially with AWS analytics. Proficiency in AWS services like Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, data warehousing. Skills in statistical analysis, data mining, machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, visualization More ❯
chance to shape the foundation of a modern, analytics-driven company. 🧩 What You'll Be Doing Designing and maintaining automated data pipelines using AWS (Glue, S3, Lambda, Step Functions, Athena). Turning raw, messy data into clean, reliable, query-ready datasets used by commercial, operational, and marketing teams. Defining and evolving the data architecture to support scale, cost-efficiency … product, tech, and operations. 🔧 What You’ll Bring 5+ years in data engineering or backend development focused on data platforms. Strong hands-on experience with AWS services, especially Glue, Athena, Lambda, and S3 . Proficient in Python (ideally PySpark) and modular SQL for transformations and orchestration. Solid grasp of data modeling (partitioning, file formats like Parquet, etc.). Comfort More ❯
data-driven solutions and strategies to drive growth. Responsibilities: Collaborate with teams to understand objectives, data needs, and analytics goals. Develop data analysis strategies using AWS services like Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction, transformation, and loading. Apply statistical and machine learning techniques for predictive analysis, clustering, segmentation, and pattern recognition. … or master's degree in Computer Science, Statistics, Mathematics, or related fields. Proven experience as a Data Scientist, especially with AWS analytics services. Strong proficiency in AWS tools: Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL More ❯
Belfast, Northern Ireland, United Kingdom Hybrid / WFH Options
Reward
Develop and optimise SQL queries, ensuring performance and efficiency. Work closely with stakeholders to translate business needs into technical solutions. Manage cloud-based data infrastructure, preferably in AWS (S3, Athena, Lambda). Maintain and enhance Microsoft SQL Server technologies (SSRS, SSIS, SSAS). Document processes, data pipelines, and best practices to ensure clarity and maintainability. Mentor junior data engineers … data types, joins, sub-queries, primary/foreign keys, indexing, normalisation). Experience with Microsoft SQL Server technologies (SSRS, SSIS, SSAS). Proficiency in cloud technologies, preferably AWS (S3, Athena, Lambda). Ability to translate non-technical business requirements into effective technical specifications. Proven ability to produce clear and structured documentation for data processes. Benefits Annual Leave: 25 days More ❯
Associates, Mid-level Engineers, and Senior/Principal engineers. What You'll Do: Design, build, and scale data pipelines and services using AWS Glue, Lambda, Step Functions, S3, EMR, Athena, and more. Lead projects involving serverless, event-driven architectures and CI/CD workflows (GitLab CI). Write clean, production-grade code in Python (Scala is a bonus). … using Datadog or CloudWatch. Actively mentor Data Engineers and Associates, and lead technical discussions and design sessions. Key requirements: Must-Have: Strong experience with AWS services: Glue, Lambda, S3, Athena, Step Functions, EventBridge, EMR, EKS, RDS, Redshift, DynamoDB. Strong Python development skills. Proficient with Docker , containerization, and virtualization. Hands-on experience with CI/CD , especially GitLab CI. Solid More ❯
IaC: Terraform Configuring and updating terraform modules to deploy various applications and infrastructure into AWS environments Creating, deploying, monitoring, and diagnosing issues in services such as ECS, S3, IAM, Athena, VPC If this is something of interest, please apply. More ❯
London, England, United Kingdom Hybrid / WFH Options
Space Executive
of experience as a data analyst Strong analytical and problem-solving skills Experience with SQL, Excel, and/or Python Experience with AWS data related solutions including: Redshift, Glue, Athena, Aurora 2 days WFH/3 days in the office - Central London Office #J-18808-Ljbffr More ❯
the strategy and delivery of TPS with cross-functional teams Set clear strategies and ensure data-driven execution Our tech stack includes: SQL, Python, R, Tableau, Power BI, AWS Athena, and more. Qualifications: Experience leading data-driven decision-making for a tech product, ideally in B2B Experience managing a data-driven team and maintaining high analysis standards Proven success More ❯
such as Informatica PowerCenter and BDM, AutoSys, Airflow, and SQL Server Agent. Experience with cloud platforms preferably AWS. Strong knowledge of AWS cloud services, including EMR, RDS Postgres, Redshift Athena, S3, and IAM. Solid understanding of data warehousing principles and best practices. Strong proficiency in SQL for data manipulation, reporting, and optimization. Knowledge of data modeling and schema design. More ❯
IBM MQ client to AWS ECS. • Manage the migration of RDS PostgreSQL databases and S3 data. • Supervise the migration of GitLab to GitHub and container images to AWS. • Implement Athena on S3 for data querying and analysis. • Provide technical leadership and mentorship to the engineering team. • Ensure best practices in cloud architecture and security are followed. Requirements: • Extensive experience More ❯
communication skills for technical and non-technical audiences. Preferred additional skills include experience with Perl or other scripting languages, large tech company roles, and AWS services like S3, Glue, Athena, Sagemaker, Lambda, EC2, Batch, and Step Functions. Ability to create compelling data visualizations is also valued. We encourage candidates from diverse backgrounds to apply, even if they do not More ❯
Proven experience as a Data Engineer, with significant exposure to AWS environments Extensive knowledge of AWS services related to data and analytics such as AWS Glue, AWS Redshift, S3, Athena, Kinesis, and DynamoDB Extensive experience with data pipeline and workflow management tools High levels of proficiency in SWL and scripting languages such as Python Excellent problem-solving skills, attention More ❯
can't wait. You Have: 5+ years of experience using AWS 3+ years of experience in Tableau administration management Experience with Terraform and Ansible Experience in AWS, including EC2, Athena, or S3 Experience with Linux scripting Experience with Jira or Confluence Knowledge of Tableau application features Secret clearance Bachelor's degree Security+ Certification Nice If You Have: Possession of More ❯
