101 to 110 of 110 Amazon Athena Jobs in the UK excluding London

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 ❯

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 ❯

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 ❯

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 ❯

value A degree in STEM, Data Science, Operational Research, or a related field Nice to have Power BI advanced features or Excel (charts, pivots, modelling) Familiarity with AWS tools: Athena, S3, Glue, Lambda The Benefits We take care of our people with a benefits package that’s designed for long-term balance, wellbeing, and opportunity: 25 days annual leave More ❯

AWS certified as SysOps Administrator/Solutions Architect/DevOps Engineer. - Understanding of SEIM setup and administration, e.g. Arctic Wolf - Database architectures, both relational and NoSQL, e.g., RDS, DynamoDB, Athena, Cassandra - Experience with virtualisation platforms such as VMWare, Hyper V - Storage and Data availability systems, e.g., HP Nimble, NetApp. - Networking and Domain Communication, e.g., LDAP, DNS , VPN, Firewalls. - Configuration More ❯

for: Strong experience with BI tools, ideally AWS QuickSight. Proficiency in SQL for data querying, transformation, and optimisation. Hands-on experience with AWS services such as Redshift, S3, and Athena is highly desirable. Ability to work autonomously, take ownership of projects, and proactively find solutions. Strong analytical and problem-solving skills, with an ability to translate business needs into More ❯