18 of 18 Amazon Athena Jobs in the North West

will be working on complex data problems in a challenging and fun environment, using some of the latest Big Data open-source technologies like Apache Spark, as well as Amazon Web Service technologies including Elastic MapReduce, Athena and Lambda to develop scalable data solutions. Key Responsibilities: Adhering to Company Policies and Procedures with respect to Security, Quality and More ❯

complex data pipelines. These pipelines ingest and transform data from diverse sources (e.g., email, CSV, ODBC/JDBC, JSON, XML, Excel, Avro, Parquet) using AWS technologies such as S3, Athena, Redshift, Glue, and programming languages like Python and Java (Docker/Spring) . What You’ll Do Lead the design and development of scalable data pipelines and ETL processes … for at least 5 years. What We’re Looking for Proven experience leading data engineering teams and delivering technical solutions Strong background in cloud data platforms, especially AWS (Redshift, Athena, EC2, IAM, Lambda, CloudWatch) Proficiency in automation tools and languages (e.g., GitHub/GitLab, Python, Java). Skilled in stakeholder engagement and translating requirements into actionable insights. Ability to More ❯

of consolidating data sources, creating pipelines, and ideally a software engineering mindset. Excellent experience with Containers. Strong knowledge of Python, Airflow, SQL, and Linux. Proficient in AWS Lambda, ECS, Athena, S3, Kinesis, Glue, CloudWatch/Terraform/CDK, Tableau Online. They are particularly keen on Senior Data Engineers who utilize good AI-based tooling for productivity, such as Co More ❯

TrustedAdvisor, Inspector and Systems Manager. Serverless platforms such as Lambda, SQS, Fargate, and API Gateway. RDS experience and exposure to DataLake/LakeHouse platforms such as RedShift, Glue, and Athena and IAM roles and policies. Deep experience and strong skills with Terraform and Git. Experience troubleshooting server and software configuration issues on both Windows and Linux, including Red Hat More ❯

/scrum development environment Experience using JIRA and Bitbucket or GitHub Other Useful Experience: Experience with Apache Kafka (or any other data streaming technologies) Experience with AWS products (S3, Athena, etc) Experience with SQL Server data warehousing (SQL Server, SSIS and SSAS). Forge Holiday Groups Company Benefits Annual STIP Company-wide Bonus Scheme offering up to an additional More ❯

Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse … advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and engagement strategies. Collaborate with data … Mathematics, or a related field. 2.Proven experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining More ❯

Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse … advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and engagement strategies. Collaborate with data … Mathematics, or a related field. 2.Proven experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining More ❯

Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse … advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and engagement strategies. Collaborate with data … Mathematics, or a related field. 2.Proven experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining 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 ❯

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 tools such as 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 insights. Create dashboards and … KPIs using Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Collaborate with data engineers on data architecture and governance. Requirements: Bachelor's or master's degree in a related field. Experience as a Data Scientist, preferably with AWS analytics services. Proficiency in AWS tools like Redshift, Athena, EMR, QuickSight. Understanding of data More ❯

solutions and shape our data strategy to support business growth. Responsibilities Collaborate with teams to understand objectives and define analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes for analysis. Apply statistical and machine learning techniques for predictive and pattern analyses. Create dashboards … and KPIs using Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Work with data engineers on data architecture, quality, and governance. Requirements Bachelor's or master's in CS, Statistics, Mathematics, or related. Experience as a Data Scientist, preferably with AWS analytics. Proficiency in AWS services like Redshift, Athena, EMR, QuickSight. Knowledge More ❯

our data strategy and support business growth. Responsibilities: Collaborate with teams to understand objectives, identify data needs, and set analytics goals. Develop data analysis strategies using AWS services like Amazon 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 pattern … analyses. Identify key metrics, develop KPIs, and create dashboards using Amazon QuickSight. Perform exploratory data analysis to uncover 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 field. Proven experience as a Data Scientist, especially with AWS analytics. Strong proficiency in … AWS services like Redshift, Athena, EMR, and QuickSight. Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, visualization tools, and statistical packages. Analytical, problem-solving, and critical thinking skills. Experience with social media analytics and user behavior. Familiarity with big More ❯

will shape our data strategy and support business growth. Responsibilities: Collaborate with teams to understand objectives, data needs, and analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes for diverse data sources. Apply statistical and machine learning techniques for predictive and segmentation analyses. … Identify key metrics, develop KPIs, and create dashboards with Amazon QuickSight. Perform exploratory data analysis to uncover trends and insights. Work with data engineers to optimize data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, preferably with AWS analytics. Proficiency in … AWS analytics services (Redshift, Athena, EMR, QuickSight). Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, and data visualization tools. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior. Knowledge of big data technologies 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 ❯

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 ❯

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 ❯

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 ❯