Cambridge, England, United Kingdom Hybrid / WFH Options
Bit Bio
bit.bio is an award-winning spinout from the University of Cambridge. Our breakthrough technology combines synthetic and stem cell biology for the precise, efficient and consistent reprogramming of human cells used in research, drug discovery, and cell therapy. At bit.bio 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 AmazonRedshift, 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 ❯
and shape our data strategy to support business growth. Responsibilities: Work with teams to understand objectives, data needs, and analytics goals. Develop data analysis strategies using AWS tools like AmazonRedshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data ingestion and transformation. Apply statistical and machine learning techniques for predictive and segmentation analyses. Create … dashboards and KPIs with Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Collaborate on data architecture, quality, and governance improvements. Requirements: Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, especially with AWS analytics services. Proficiency in AWS tools like Redshift, Athena More ❯
and develop data-driven solutions to support business growth. Responsibilities Collaborate with teams to understand objectives and define analytics goals. Develop data analysis strategies using AWS tools such as AmazonRedshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction and transformation. Apply statistical and machine learning techniques for predictive and pattern analysis. Develop … KPIs and dashboards 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 in AWS. Requirements Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related fields. Experience as a Data Scientist, preferably with AWS analytics services. Proficiency in AWS tools … like Redshift, Athena, EMR, and QuickSight. Understanding of data modeling, ETL, and warehousing concepts. Skills in statistical analysis, machine learning, and programming languages such as Python, R, or Scala. Experience with SQL, NoSQL, data visualization, and statistical packages. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior analysis. Knowledge of big data technologies like More ❯
the hardest problems and build a service which customers love, Amazon.in might just be the place for you. The Business Intelligence Engineer is responsible for driving deep insights about Amazon Business and driving continuous improvement using the analysis. The person should have a detailed understanding of a business requirement or the ability to quickly get to the root cause … ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Ensure data accuracy by validating data for new and existing tools. Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use. - Work closely with category, marketing and sales stakeholders to understand and automate processes … Understand trends related to Amazon business and recommend strategies to stakeholders to help drive business growth. Respond with urgency to high priority requests from senior business leaders. - Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations that will help shape the direction of the business. - The candidate actively seeks to understand AmazonMore ❯
our data strategy and support business growth. Responsibilities: Collaborate with teams to understand objectives, define data requirements, and set analytics goals. Develop data analysis strategies using AWS services like AmazonRedshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes to load data into AWS for analysis. 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 find trends and insights for product and user engagement improvements. Work with data engineers to optimize data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's degree in related fields. Experience as a Data Scientist, especially with AWS analytics. … Proficiency in AWS services like Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, warehousing. Skills in statistical analysis, data mining, machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, visualization tools, and statistical packages. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior. Knowledge of big data tools like More ❯
months) role The Supply Chain, Transportation Planning & Operational Excellence (EU STEP) is a team responsible for the end-to-end flow of goods from our vendors and sellers to Amazon customers all over Europe, in order to ensure a speedy and reliable customer delivery in the cheapest way possible. The STEP organization is all about network design and tactical … the-art solution in transportation planning and network design, ensuring that end to end transportation strategies are streamlined and optimized. The impact of your work will be in the Amazon EU global network. Key job responsibilities • Design and develop tools to automate standardized processes and optimize trade-offs across the full decision space. • Develop relationships with internal and external … QUALIFICATIONS - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. - Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business - Experience with AWS solutions such as EC2, DynamoDB, S3 More ❯
likes to challenge Status Quo? Do you strive to excel at goals assigned to you? If yes, we have opportunities for you. Global Operations - Artificial Intelligence (GO-AI) at Amazon is looking to hire candidates who can excel in a fast-paced dynamic environment. Are you somebody that likes to use and analyze big data to drive business decisions … ensure a clear hand-off to the right owner. About the team The Global Operations - Artificial Intelligence (GO-AI) team is an initiative, which remotely handles exceptions in the Amazon Robotic Fulfillment Centers Globally. GO-AI seeks to complement automated vision based decision-making technologies by providing remote human support for the subset of tasks which require higher cognitive … processed through automated decision making with high confidence. This team provides end-to-end solutions through inbuilt competencies of Operations and strong central specialized teams to deliver programs at Amazon scale. It is operating multiple programs and other new initiatives in partnership with global technology and operations teams. BASIC QUALIFICATIONS - 5+ years of analyzing and interpreting data with RedshiftMore ❯
Social network you want to login/join with: The EU Amazon Vendor Services (AVS) and Retail Vendor Experience (VX) Program teams are seeking a Data Engineer to design and implement scalable data solutions and pipelines that can meaningfully contribute to both programs. This role is pivotal in addressing major challenges that enhance vendor success, satisfaction, and growth on … Amazon, contributing directly to our long-term strategy. Amazon’s mission is to be Earth’s most customer-centric company, where customers can discover anything they want to buy online at competitive prices, with vast selection and convenience. Core to this mission is our commitment to delighting not only customers but also vendors by inventing scalable solutions that … WW VX programme focuses on creating a globally preferred, trusted, and efficient vendor experience across all touchpoints. Both programmes are essential inputs for improving the end-customer experience and Amazon’s long-term free cash flow. Key job responsibilities This role will sit within a data and analytics team supporting two large program teams (EU AVS and VX) while More ❯
Job ID: 2962686 | Amazon (China) Holding Company Limited Amazon ATE (Analytics Technology and Engineering) team is seeking for a contractor Data Engineer of deep expertise in creation and management of datasets. The role is responsible to build data analytical solutions that will address increasingly complex business questions, as an expert at implementing and operating stable, scalable data flow … the unique challenges of space, size and speed; implementing data analytics using cutting edge analytics patterns and technologies that are inclusive of but not limited to various AWS Offerings –Redshift, S3 and RDS.; working with partner teams to create dashboards for our customers. BASIC QUALIFICATIONS - 1+ years of data engineering experience - Experience with data modeling, warehousing and building ETL … about 2 months ago) Posted: March 26, 2025 (Updated 2 months ago) Posted: October 14, 2024 (Updated 18 days ago) Posted: November 7, 2024 (Updated about 2 months ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. #J-18808-Ljbffr More ❯
Job ID: Amazon EU SARL (UK Branch) The EU Amazon Vendor Services (AVS) and Retail Vendor Experience (VX) Program teams are seeking a Data Engineer to design and implement scalable data solutions and pipelines that can meaningfully contribute to both programs. This role is pivotal in addressing major challenges that enhance vendor success, satisfaction, and growth on Amazon, contributing directly to our long-term strategy. Amazon's mission is to be Earth's most customer-centric company, where customers can discover anything they want to buy online at competitive prices, with vast selection and convenience. Core to this mission is our commitment to delighting not only customers but also vendors by inventing scalable solutions that exceed … WW VX programme focuses on creating a globally preferred, trusted, and efficient vendor experience across all touchpoints. Both programmes are essential inputs for improving the end-customer experience and Amazon's long-term free cash flow. Key job responsibilities This role will sit within a data and analytics team supporting two large program teams (EU AVS and VX) while More ❯
with cross-functional teams, and develop data-driven solutions to support business growth. Responsibilities Understand business objectives and define analytics goals. Develop data analysis strategies using AWS services like AmazonRedshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes. Apply statistical and machine learning techniques for predictive and pattern analyses. Develop KPIs, dashboards, and … governance. Requirements Bachelor's or master's in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, preferably with AWS analytics. Proficiency in AWS services like Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, and warehousing concepts. Skills in statistical analysis, data mining, machine learning. Programming skills in Python, R, or Scala. Experience with SQL More ❯
cross-functional teams, and develop data-driven solutions to support business growth. Responsibilities: Work with teams to understand objectives and define analytics goals. Develop strategies using AWS services like AmazonRedshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction and transformation. Apply statistical and machine learning techniques for analysis and pattern recognition. Develop … KPIs and dashboards using Amazon QuickSight for decision-making. Perform exploratory data analysis to uncover insights. Collaborate with data engineers on data architecture and governance in AWS. Requirements: Bachelor's or master's degree in relevant fields. Experience as a Data Scientist, preferably with AWS. Proficiency in AWS analytics tools. Understanding of data modeling, ETL, and warehousing. Skills in More ❯
Sr. Business Intelligence Engineer (BIE), UK Insights & Innovation Job ID: 2813637 | Amazon EU SARL (UK Branch) The UK Insights and Innovation (I&I) team is looking for an innovative and customer-obsessed Business Intelligence Engineer to define the BIE roadmap on projects which drive early stage thinking for the UK. Are you somebody that likes to use big data … within UK I&I. Example data solutions include 1) helping Global Store understand where growth opportunities lie and 2) supporting expansion to Ireland and defining new reporting structures for Amazon’s latest store in Europe. Recent analytical projects include an investigation of cross-border channels to reduce unnecessary long-distance shipments when the customer need could be met with … or similar tools Experience with SQL Experience working directly with business stakeholders to translate between data and business needs Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc. Experience with data modeling, warehousing and building ETL pipelines PREFERRED QUALIFICATIONS Experience managing, analyzing and communicating results to senior leadership Experience with statistical analytics and programming More ❯
Contribute to the development of data governance policies and procedures. Troubleshoot and resolve complex data-related issues in production environments. About the team We are a dynamic team within Amazon's Selling Partner Services organization, focused on building and scaling API authorization and customization systems that empower thousands of global selling partners. Our mission is to create flexible, reliable … and extensible API solutions that help businesses thrive on Amazon's platform. Our team combines the excitement of a startup with the resources and scale of Amazon. We offer an environment where you can make a significant impact while working with new technologies and talented professionals who are passionate about building world-class solutions. BASIC QUALIFICATIONS - 3+ years of … experience - Experience with data modeling, warehousing and building ETL pipelines - Knowledge of distributed systems as it pertains to data storage and computing PREFERRED QUALIFICATIONS - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases More ❯
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 AmazonRedshift, 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 ❯
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 AmazonRedshift, 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 ❯
to support decision-making, leveraging cloud data services. Ensure data accuracy, integrity, and security within cloud environments. Key Skills & Experience: Proficiency in SQL and cloud data warehousing solutions (e.g., AmazonRedshift, Google BigQuery). Experience with cloud BI tools (e.g., Power BI, Tableau, Looker). Strong analytical and problem-solving skills focused on cloud data solutions. Knowledge of More ❯
Sunderland, England, United Kingdom Hybrid / WFH Options
Client Server
Engineer with strong experience of data models, data mining and segmentation techniques You have coding skills with Python (or C#) and SQL You have experience with SQL databases (e.g. AmazonRedshift, PostgreSQL) You have experience with data tooling (e.g. Airflow, DBT, AWS Kinesis) You have strong analysis and problem solving skills You're collaborative with excellent communication skills More ❯
London, England, United Kingdom Hybrid / WFH Options
Pearson
work on critical, fast-moving projects and contribute to design decisions. Proven project delivery and data validation experience are advantageous. Key Skills & Experience: Proficiency in database systems such as Amazon Aurora MySQL, Microsoft SQL, Oracle, DynamoDB, etc. Experience designing, developing, and maintaining complex SQL queries and stored procedures. Performance tuning and optimization of data pipelines. Implementing data monitoring solutions. … Developing scripts and automation tools. Knowledge of version control systems like Git. Familiarity with AWS services: DMS, Lambda, S3, Step Functions, CloudWatch, Redshift, Glue, EventBridge. Experience with CI/CD pipelines and automated testing. Experience in large-scale data environments and data warehousing. Strong organizational skills, proactive attitude, and curiosity about data. Experience working with product management, architects, and More ❯
and ETL processes. Working proficiency in at least one scripting language (e.g., Python, JavaScript) is highly preferred. Hands-on experience with modern cloud data platforms such as Snowflake, Databricks, AmazonRedshift, Google BigQuery or similar. Familiarity with Business Intelligence and data visualization tools (e.g., ThoughtSpot, Tableau, Power BI, Looker, MicroStrategy). Exceptional ability to quickly grasp customer needs More ❯
thrives in greenfield project environments, and enjoys working both independently and collaboratively. Key Responsibilities as a Principal Data Engineer Propose and implement data solutions using AWS services including S3, Redshift, Lambda, Step Functions, DynamoDB, AWS Glue, and Matillion . Work directly with clients to define requirements, refine solutions, and ensure successful handover to internal teams. Design and implement ETL … to a collaborative, knowledge-sharing team culture. Required Qualifications & Skills Strong experience in ETL processes and cloud data warehouse patterns . Hands-on expertise with AWS services (S3, Glue, Redshift). Proficiency with Matillion for data transformation. Experience working with various relational databases . Familiarity with data visualization tools such as QuickSight, Tableau, Looker, or QlikSense . Ability to More ❯
thrives in greenfield project environments, and enjoys working both independently and collaboratively. Key Responsibilities as a Principal Data Engineer Propose and implement data solutions using AWS services including S3, Redshift, Lambda, Step Functions, DynamoDB, AWS Glue, and Matillion . Work directly with clients to define requirements, refine solutions, and ensure successful handover to internal teams. Design and implement ETL … to a collaborative, knowledge-sharing team culture. Required Qualifications & Skills Strong experience in ETL processes and cloud data warehouse patterns . Hands-on expertise with AWS services (S3, Glue, Redshift). Proficiency with Matillion for data transformation. Experience working with various relational databases . Familiarity with data visualization tools such as QuickSight, Tableau, Looker, or QlikSense . Ability to More ❯
thrives in greenfield project environments, and enjoys working both independently and collaboratively. Key Responsibilities as a Principal Data Engineer Propose and implement data solutions using AWS services including S3, Redshift, Lambda, Step Functions, DynamoDB, AWS Glue, and Matillion . Work directly with clients to define requirements, refine solutions, and ensure successful handover to internal teams. Design and implement ETL … to a collaborative, knowledge-sharing team culture. Required Qualifications & Skills Strong experience in ETL processes and cloud data warehouse patterns . Hands-on expertise with AWS services (S3, Glue, Redshift). Proficiency with Matillion for data transformation. Experience working with various relational databases . Familiarity with data visualization tools such as QuickSight, Tableau, Looker, or QlikSense . Ability to More ❯
thrives in greenfield project environments, and enjoys working both independently and collaboratively. Key Responsibilities as a Principal Data Engineer Propose and implement data solutions using AWS services including S3, Redshift, Lambda, Step Functions, DynamoDB, AWS Glue, and Matillion . Work directly with clients to define requirements, refine solutions, and ensure successful handover to internal teams. Design and implement ETL … to a collaborative, knowledge-sharing team culture. Required Qualifications & Skills Strong experience in ETL processes and cloud data warehouse patterns . Hands-on expertise with AWS services (S3, Glue, Redshift). Proficiency with Matillion for data transformation. Experience working with various relational databases . Familiarity with data visualization tools such as QuickSight, Tableau, Looker, or QlikSense . Ability to More ❯