stakeholders. Ability to influence engineering teams and platform stakeholders through advisory leadership and practical guidance. Experience with data stored and processed in cloud-based platforms, preferably in AWS (e.g., Redshift, S3, AWS Glue). Knowledge of designing and implementing RBAC and ABAC in modern data platforms. DESIRABLE BUT NOT REQUIRED: Management and stewardship of Data Products, ideally with a More ❯
stakeholders. Ability to influence engineering teams and platform stakeholders through advisory leadership and practical guidance. Experience with data stored and processed in cloud-based platforms, preferably in AWS (e.g., Redshift, S3, AWS Glue). Knowledge of designing and implementing RBAC and ABAC in modern data platforms. DESIRABLE BUT NOT REQUIRED: Management and stewardship of Data Products, ideally with a More ❯
stakeholders. Ability to influence engineering teams and platform stakeholders through advisory leadership and practical guidance. Experience with data stored and processed in cloud-based platforms, preferably in AWS (e.g., Redshift, S3, AWS Glue). Knowledge of designing and implementing RBAC and ABAC in modern data platforms. DESIRABLE BUT NOT REQUIRED: Management and stewardship of Data Products, ideally with a More ❯
versioning, patching, and platform upgrades-ensuring minimal downtime and business disruption. Provide architectural input into migration initiatives (e.g., incumbent to Oracle, or Oracle to alternative database offering, e.g. AWS Redshift). Implement and enforce database security policies and compliance standards. Collaborate with application architects, platform engineers, developers and business analysts to deliver consistent and resilient data services. Correct budgeting More ❯
Culture Amps customer needs. You have: Experience designing and building LLM powered conversational systems in a software product setting. Comfortable with SQL, preferably with an enterprise database system like Redshift, Postgres. Ideally experience with data processing tools like DBT and Dask. Experience in Python data science space - LangChain, LangSmith, pandas, numpy, sci kit learn, scipy, hugging face etc. Understanding More ❯
clear and timely decisions in the face of many nuanced trade offs and varied opinions. Experience in a range of tools sets comparable with our own: Database technologies: SQL, Redshift, Postgres, DBT, Dask, airflow etc. AI Feature Development: LangChain, LangSmith, pandas, numpy, sci kit learn, scipy, hugging face, etc. Data visualization tools such as plotly, seaborn, streamlit etc You More ❯
8+1 hours). Responsibilities: Design, develop, and maintain data pipelines using Apache Airflow . Create and support data storage systems (Data Lakes/Data Warehouses) based on AWS (S3, Redshift, Glue, Athena, etc.). Integrate data from various sources, including mobile apps , third-party APIs , and internal services . Ensure data quality, consistency, and availability . Support analysts: build … including 1+ year at a Senior level. Deep knowledge of Airflow : DAGs, custom operators, and monitoring. Strong command of PostgreSQL databases; familiarity with the AWS stack (S3, Glue or Redshift, Lambda, CloudWatch) is a significant plus. Excellent SQL skills and confident Python programming. Knowledge of Kotlin and Golang , and the ability to work with unfamiliar codebases. Experience building robust More ❯
Business Intelligence Engineer - 12 month FTC, Fleet planning & Capacity Job ID: Amazon Business EU SARL (UK) - H91 12 Month, Fixed Term Contract Have you ever ordered a product on Amazon and wondered how that package got to you so fast? Have you ever wondered where it came from and what series of events helped make that delivery possible … If so, the EU - Global Fleet and Products (GFP) - Fleet planning and Capacity team (FPAC) is for you! Behind every Amazon delivery is a complex network of planning and execution. As part of the European Global Fleet and Products (GFP) - Fleet Planning and Capacity team (FPAC), you'll help optimize this journey We work with large amounts of novel … analytics teams to support the development of tools and dashboards - Communicate with and support various internal stakeholders and external audiences - Learn, explore, apply, and gain expertise in many internal Amazon data and public AWS products including Glue, Redshift, Quicksight, and Lambda BASIC QUALIFICATIONS - Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. - Experience with data More ❯
Data Engineering Manager, Amazon Music Technology We are seeking an ambitious Data Engineering Manager to join our Metrics and Data Platform team. The Metrics and Data Platform team plays a critical role in enabling Amazon Music's business decisions and data-driven software development by collecting and providing behavioral and operational metrics to our internal teams. We maintain … a scalable and robust data platform to support Amazon Music's rapid growth, and collaborate closely with data producers and data consumers to accelerate innovation using data. As a Data Engineering Manager, you will manage a team of talented Data Engineers. Your team collects billions of events a day, manages petabyte-scale datasets on Redshift and S3, and … pipelines with Spark, SQL, EMR, and Airflow. You will collaborate with product and technical stakeholders to solve challenging data modeling, data availability, data quality, and data governance problems. At Amazon Music, engineering managers are the primary drivers of their team's roadmap, priorities, and goals. You will be deeply involved in your team's execution, helping to remove obstacles More ❯
Would you like to work on one of the world's largest transactional distributed systems? How about working with customers and peers from the entire range of Amazon's business on cool new features? Whether you're passionate about building highly scalable and reliable systems or a software developer who likes to solve business problems, Selling Partner Services (SPS … responsibilities 1. Design/implement automation and manage our massive data infrastructure to scale for the analytics needs of case management. 2. Build solutions to achieve BAA(Best At Amazon) standards for system efficiency, IMR efficiency, data availability, consistency & compliance. 3. Enable efficient data exploration, experimentation of large datasets on our data platform and implement data access control mechanisms … and WW) use cases on our data platform 5. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, Amazon and AWS big data technologies 6. Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment. 7. Drive More ❯
Python coupled with strong SQL skills. In addition, you will also have a strong desire to work with Docker, Kubernetes, Airflow and the AWS data technologies such as Athena, Redshift, EMR and various other tools in the AWS ecosystem. You would be joining a team of 25+ engineers across mobile, web, data and platform. We look for engineers who … you: At least 3 years of relevant data engineering experience Strong Python and SQL skills Experience with dbt Experience with AWS Experience working with a columnar database such as Redshift Strong Experience with ETL/ELT and the management of data pipelines Familiarity with snowplow Experience with Data Integration from a variety of sources Good cross-team communication skills More ❯
Manchester, Lancashire, England, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
AWS Data Engineer - Manchester - Hybrid - £75,000 We're working with a global insurance company that's redefining the industry through technology. As a key end user of AWS, they're leveraging cloud-native solutions and advanced analytics to transform More ❯
AWS Data Engineer - Manchester - Hybrid - £75,000 We're working with a global insurance company that's redefining the industry through technology. As a key end user of AWS, they're leveraging cloud-native solutions and advanced analytics to transform More ❯
challenges as we continue to scale out our platform with a fast growing list of customers. Our technologies include Ruby on Rails, React, AWS SES, Go, GraphQL, Redis, Elasticsearch, AmazonRedshift, and others. Engineering at StackAdapt: At StackAdapt, you will be directly involved in leading your team to deliver production level code that will have a direct impact … more full-service marketing technology company. StackAdapt is a Remote First company, we are open to candidates located anywhere in North America for this position. Watch our talk at Amazon Tech Talks: What You'll Be Doing Leading a team that builds solutions to help customers create and manage marketing automation campaigns Hire and mentor a new team of More ❯
broad range of business and customer data? Join our Pricing & Promotions Science, Data and Insights team, where you'll have the opportunity to continuously improve the systems that enable Amazon's annual worldwide revenue of billions of dollars. Key job responsibilities - Design, build, and operate highly scalable, fault-tolerant data processing systems using modern AWS services like Redshift … efficiency of operations in terms of cost, effort and reliability About the team The Pricing and Promotions Science Data and Insights Org strives to accelerate Customer, Seller, and overall Amazon success through the proactive development of automated intelligent pricing and promotions science and analytics systems. We facilitate making trustworthy data-driven decision making at scale. We look around corners … ingestion, and processing of large data sets - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with SQL - Experience with data audit and reconciliation strategies. - Experience with data pipeline orchestration frameworks, such More ❯
Market Harborough, Leicestershire, East Midlands, United Kingdom
CDS Global
Athena and MSSQL A good understanding of methods for data manipulation, analysis, and automation tasks. Experience with Microsoft SSIS ETL pipelines. Experience with AWS tools such as S3, Glue, Redshift, Lambda, and Athena for building scalable data pipelines and architectures. Experience in developing dashboards and reports using MicroStrategy and\or Amazon QuickSight or similar. Strong analytical skills to More ❯
Salford, Manchester, United Kingdom Hybrid / WFH Options
BBC Group and Public Services
mentored by a friendly development team, and the BBC will provide many opportunities for learning as you progress. We create and support reliable and scalable cloud-based services on Amazon Web Services, use GitHub for version control and practice pair programming and Test-Driven Development where possible. Hands-on experience with Python development and an understanding of software engineering … best practices (e.g., TDD, clean code principles). Experience of AWS services such as SageMaker, S3, EC2, VPC, Lambda, Redshift Experience of DevOps practices, including containerisation with Docker and CI/CD pipelines. Exposure to MLOps tools (e.g., MLFlow) and practices, with a willingness to learn more. Exposure to infrastructure-as-code tools (CDK, CloudFormation) Knowledge of feature engineering More ❯
Aker Systems was founded in 2017 by a team of experienced technology professionals who recognised an opportunity to provide highly secure enterprise data platforms to large organisations. We build and operate ground-breaking, ultra-secure, high performance, cloud-based data 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 ❯
Amazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon continues to grow and evolve as a world-class e-commerce platform. Do you have solid analytical thinking, metrics-driven … comfortable thinking big while also diving deep. Are you a smart, hungry, flexible, and world-class data engineer excited by the challenge of launching a new business initiative for Amazon? SmartCommerce team is looking for Data Engineers to be part of a new team being built from the ground up. They will be primarily working on our product SmartBiz. … SmartBiz by Amazon is a one-stop shop for Indian sellers to fulfill their online selling needs. Whether a small business, an entrepreneur, or a neighborhood store, a seller can now create their own e-commerce store within minutes and start showcasing and selling their products online. Key job responsibilities 1. Responsible for designing, building and maintaining complex data More ❯
Lead Analytics, ROW Supply Chain Analytics Amazon's Rest of the World (ROW) Supply Chain Analytics team is seeking an exceptional BIE to join our Delivery Speed Analytics function. In this role, you will be at the forefront of developing solutions that directly impact Amazon's delivery promise capabilities. You will collaborate with Supply Chain and Delivery Experience … collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, extract and manipulate data across various data marts, and align research focuses on Amazon's strategic needs. Key job responsibilities 1.Converting data into digestible business intelligence and actionable information 2.Writing high quality SQL codes to retrieve and analyze data 3.Working with large data … You will engage with senior leadership on drafting proposals for new concepts, improvement plans, 3-year strategy and outlook. BASIC QUALIFICATIONS - 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such More ❯
mapping, exception handling) 2+ years of hands-on experience with Databricks 2+ years in a technical leadership role Strong knowledge of Python Practical experience with AWS services (e.g. S3, Redshift, Athena, Glue, Lambda) Upper-Intermediate or higher level of English Experience in energy-related domains (e.g. energy trading, utilities, power systems) - a strong advantage Experience with geospatial data will … stream: architecture, coding standards, and mentoring Collaborate with analysts, stakeholders, and cross-functional teams to align data solutions with business needs Build and optimize data infrastructure in AWS (S3, Redshift, Glue, Lambda, etc.) Use Databricks + Python to transform and orchestrate data workflows Ensure compliance with enterprise security, governance, and SDLC best practices Communicate proactively and clearly across teams More ❯
our in-house GPU cluster. Orchestrate Workflows with Apache Airflow: schedule, monitor, and maintain complex data and model pipelines. Engineer Cloud Services on AWS (Lambda, ECS/EKS, S3, Redshift, etc.) and automate deployments using GitHub Actions & Pulumi. Collaborate & Brainstorm with our engineering team we frequently communicate ideas to innovate, plan strategy and decide on next steps. Own Your … proactive, resourceful, ambitious, driven to innovate, eager to learn, and comfortable wearing multiple hats in a fast-moving environment. Desirable: hands-on experience with Apache Airflow, AWS services (especially Redshift, S3, ECS/EKS), and IaC tools like Pulumi. Why Permutable AI? Hybrid Flexibility: Spend 2+ days/week in our Vauxhall hub. Real Responsibility: From day one, your More ❯
the data platform, including data pipelines, orchestration and modelling. Lead the team in building and maintaining robust data pipelines, data models, and infrastructure using tools such as Airflow, AWS Redshift, DBT and Looker.Ensuring the team follows agile methodologies to improve delivery cadence and responsiveness. Contribute to hands-on coding, particularly in areas requiring architectural input, prototyping, or critical delivery … Strong mentoring skills and ability to foster team growth and development Strong understanding of the data engineering lifecycle, from ingestion to consumption Hands-on experience with our data stack (Redshift, Airflow, Python, DVT, MongoDB, AWS, Looker, Docker) Understanding of data modelling, transformation, and orchestration best practices Experience delivering both internal analytics platforms and external data-facing products Knowledge of More ❯
the data platform, including data pipelines, orchestration and modelling. Lead the team in building and maintaining robust data pipelines, data models, and infrastructure using tools such as Airflow, AWS Redshift, DBT and Looker.Ensuring the team follows agile methodologies to improve delivery cadence and responsiveness. Contribute to hands-on coding, particularly in areas requiring architectural input, prototyping, or critical delivery … Strong mentoring skills and ability to foster team growth and development Strong understanding of the data engineering lifecycle, from ingestion to consumption Hands-on experience with our data stack (Redshift, Airflow, Python, DVT, MongoDB, AWS, Looker, Docker) Understanding of data modelling, transformation, and orchestration best practices Experience delivering both internal analytics platforms and external data-facing products Knowledge of More ❯