21 of 21 Big Data Jobs in Cambridgeshire

laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Senior Principal will be responsible for leading projects related to data engineering requirements and initiatives across Jazz Research and Development. The Senior Principal will lead data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD … and Omics. Essential Functions Lead the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and … other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Own data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory More ❯

laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Senior Principal will be responsible for leading projects related to data engineering requirements and initiatives across Jazz Research and Development. The Senior Principal will lead data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD … and Omics. Essential Functions Lead the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and … other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Own data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory More ❯

for a Senior Business Intelligence Engineer (Sr. BIE) to play an instrumental role in helping Roku continue its success by providing end-to-end business intelligence solutions that democratize data across the business. You will work closely with analysts, data engineers, and business stakeholders to understand business questions, write robust pipelines to create analytical data assets, and … use visualization to create informative reports and dashboards that allow stakeholders to answer questions quickly and with confidence. You will become an expert in our data infrastructure and create/maintain pipelines that are critical to conducting robust analyses. The ideal candidate for this role loves building tools and reports that empower others to make high impact decisions and … tell stories with data. What you will be doing Work directly with analysts and engineers to understand goals, gather requirements, and guide development of new data assets by producing robust feature guides Build and support robust data pipelines to support business tools and analytical needs and meet SLAs Conduct UAT on new tables Liaise with data engineers More ❯

Social network you want to login/join with: Are you an experienced Data Engineer with a passion for coaching and mentoring others? Join our client’s growing team as a Data Engineering Coach , where you'll coach, guide & mentor junior/apprentice Data Engineer’s throughout their apprenticeship journey - from day one to completion. This is … a highly flexible, remote-working role, ideal for Data Engineering professionals seeking meaningful work, and one that could still fit around other commitments. Key Responsibilities: Deliver 1:1 and small group coaching sessions to support Data Engineer apprentices across a variety of industries Provide technical mentoring in core Data Engineering tools, techniques, and methodologies — including Python, SQL … ETL pipelines, data warehousing, cloud platforms, and version control Offer pastoral support, helping learners stay on track and fully motivated throughout their programme Support learners in building confidence and developing practical, job-ready data engineering skills Collaborate with employers to ensure learner progress and success in real-world projects Adapt coaching styles to meet diverse learner needs and More ❯

Social network you want to login/join with: Are you an experienced Data Engineer with a passion for coaching and mentoring others? Join our client’s growing team as a Data Engineering Coach , where you'll coach, guide & mentor junior/apprentice Data Engineer’s throughout their apprenticeship journey - from day one to completion. This is … a highly flexible, remote-working role, ideal for Data Engineering professionals seeking meaningful work, and one that could still fit around other commitments. Key Responsibilities: Deliver 1:1 and small group coaching sessions to support Data Engineer apprentices across a variety of industries Provide technical mentoring in core Data Engineering tools, techniques, and methodologies — including Python, SQL … ETL pipelines, data warehousing, cloud platforms, and version control Offer pastoral support, helping learners stay on track and fully motivated throughout their programme Support learners in building confidence and developing practical, job-ready data engineering skills Collaborate with employers to ensure learner progress and success in real-world projects Adapt coaching styles to meet diverse learner needs and More ❯

Are you a data-driven problem solver passionate about building scalable systems that drive customer trust and business growth? Join our innovative Amazon Marketing Cloud (AMC) team in Toronto, where we're expanding to meet increasing customer demand. At AMC, we provide a secure, privacy-safe, and cloud-based environment for advertisers to perform advanced analytics across multiple data … behavioral signals daily, making speed, scale, and accuracy critical to our success. You'll work in exciting computer science domains, managing massive-scale streaming systems, applying machine learning and data science expertise using Big Data (e.g. Spark) technology to drive optimizations and insights. We're seeking experienced, motivated software engineers with a proven track record in data More ❯

skills Research and documentation skills Ability to learn new technologies quickly Ability to work independently and be self-directed Bachelor's degree in Computer Science or related Experience with big data analytics: Splunk, ELK, Hive, Redshift, etc. (nice to have) In-depth knowledge of streaming back-ends and formats (nice to have) Experience working with Smart/Digital … humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how … ve grown, visit https://www.weareroku.com/factsheet. By providing your information, you acknowledge that you have read our Applicant Privacy Notice and authorize Roku to process your data subject to those terms. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Software Development #J-18808-Ljbffr More ❯

valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment. - What You Will Contribute To Altos We have an opportunity available for a Data Scientist to work in the field of cells, genomics and related areas. Responsibilities - Generate insights and models from multi-omics datasets (using public and internal data) to understand … patterns, trends and relationships within data to inform decision-making and solve problems. Design, develops and programs methods, processes, and systems to extract, consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights. Build databases and is responsible for the curation of Data, including experimental data management. Extracting knowledge, insights and predictions from … data using statistical methods, machine learning and data visualization. Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement. Define and document best practices for capturing and entering experimental metadata, and educate scientists and collaborators about these standards. Build pipelines for quality control, processing and analysis More ❯

majority of the world's major pharmaceutical companies on projects that directly help discover the medicines of tomorrow. In addition, you'll have access to an unrivalled set of data through our parent, Elsevier, to build models that cannot be achieved using public data alone. Responsibilities: You'll be joining a DataOps team helping to scale AI pipelines. … By closely collaborating with the Ontology and Data Science teams, we make access to the latest AI models a reality for our colleagues and customers. The main duties of this role include: Developing infrastructure to support the use of AI models for the processing of large volumes of text-based data Developing/supporting interfaces for interaction with … experience of deploying code in containers, eg docker Experience in the life sciences or pharmaceutical domains Experience with CI/CD Confidence in Linux based environments Text Processing and Big Data Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted More ❯

trust and saves them hundreds of millions of dollars of wasted spend. We are looking for a dynamic, innovative and accomplished applied sciences manager to lead machine learning and data science for the Advertising Traffic Quality vertical. Are you excited by the prospect of analyzing terabytes of data and leveraging state-of-the-art data science and … end business problems/metrics and directly impact the profitability of the company? As an applied sciences manager for Traffic Quality, you will lead a team of applied scientists, data scientists and engineers to deliver to conceptualize and build algorithms that efficiently detect and filter invalid traffic. You will be the single-threaded owner of the algorithms that go … on state-of-the-art modeling techniques, as well as generating insights that fuel critical investments. You will also lead an engineering team that works on handling terabyte scale data and implementing features and algorithms that process billions of events per day. You will interface with product managers and operations teams to bring key advertising initiatives to customers. Your More ❯

Labs. The ideal candidate is particularly interested in multi-scale (systems) biochemistry and molecular biology of reprogramming, a dynamic field that seeks to understand complex biological systems by integrating data about biochemical components and help design interventions that direct cellular states along desired trajectories. This includes working with quantitative "big data" and building predictive models to develop … novel theories. Our ultimate goal is to contribute to improving human lives through better-informed treatments. Responsibilities: - Contribute to modeling, simulation, and analysis of mechanistic or data-driven models of biological processes through software development in a highly collaborative environment. This will include: - Exploring and developing ML algorithms to solve complex problems and draw conclusions. Apply state of the … art AI tools to infer and model cellular dynamics from large data sets Applying strong coding experience to model development using existing languages(s) and framework(s) Using AI as a tool to answer a scientific question, involved in the research and development aspects - Design and implement pipelines to mechanistically model cellular processes from model instantiation to simulation, calibration More ❯

conferences or industry circles in NLP top tier conferences. Experience delivering complex end-to-end global NLP solutions that run at very large scale. Experience working with real-world data sets and building scalable models from big data. Thinks strategically, but stays on top of tactical execution. Exhibits excellent business judgment; balances business, product, and technology very well. … success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use … and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application More ❯

projects in less time than you thought possible. Get hands-on with a range of technologies and practice a range of disciplines: back-end, front-end, DevOps, machine learning, data science, data architecture. We are curious generalists who don't pigeon-hole ourselves as particular "flavours" of engineer and never say "that's not my job". Collaborate … from experts. This will give you the opportunity to become an AWS expert, gaining valuable expertise in AWS services used in Machine Learning, IoT, image recognition, chat bots, and Big Data. We will provide the environment and support to learn any new tools, libraries or frameworks. About the team About the team Diverse Experiences AWS values diverse experiences. Even More ❯

About the role: As a Data Engineer, you will be instrumental in managing our extensive soil carbon dataset and creating robust data systems. You are expected to be involved in the full project lifecycle, from planning and design, through development, and onto maintenance including pipelines and dashboards. You'll interact with Product Managers, Project Managers, Business Development and … to provide an organisation wide source of truth for various downstream activities while also work towards improving and modernising our current platform. Key responsibilities: Design, develop, and maintain scalable data pipelines to process soil carbon and agricultural data Create and optimise database schemas and queries Implement data quality controls and validation processes Adapt existing data flows … and schemas to new products and services under development Required qualifications: BS/B. Tech in Computer Science or equivalent practical experience, with 5-7 years as Data Engineer or similar role. Strong SQL skills and experience optimizing complex queries Proficiency with relational databases, preferably MySQL Experience building data pipelines, transformations, and dashboards Ability to troubleshoot and fix More ❯

infrastructure across all industries. Discover the quickest way to enter a lucrative career within Cloud Computing. Have the option to enter other career paths including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking, and DevOps. More ❯

Software Development Engineer, Spektr, Advertising Core Services Would you like to build highly available, scalable and distributed engineering systems for one of the largest data lakes in Amazon? Does Petabyte scale excite you? The Spektr Datalake team owns the central data lake for Advertising unifying Petabytes of data generated across the Ads pipeline such as campaigns, ad … into a single scalable repository. This is used across the organization to drive hundreds of thousands of complex queries for analysis, measurement and reporting decisions for our customers. The data lake enables customers such as data engineers, business analysts, ML engineers, research scientists, economists and data experts to collect what they need via world-class self-service … tools. Spektr Datalake team is building the next version of its data lake for 5x growth. An SDE on the ADM team has a unique opportunity to design and innovate solutions for this scale, delivering robust and scalable microservices built over Java and AWS as well as innovate with big data technologies like Spark, EMR, Athena and More ❯

conferences or industry circles in NLP top tier conferences. Experience delivering complex end-to-end global NLP solutions that run at very large scale. Experience working with real-world data sets and building scalable models from big data. Thinks strategically, but stays on top of tactical execution. Exhibits excellent business judgment; balances business, product, and technology very well. … success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use … and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application More ❯

given rapidly evolving techniques. Strong algorithm development and software engineering ability, particularly around computational modelling for image analysis, image processing and/or machine learning (ideally CNNs for volumetric data). Increasingly, software architecture is a consideration. Python, TensorFlow, Keras, PyLattice or similar technologies would be indicative; additional languages such as C++ are also acceptable. Familiarity with computer vision … big data, geometric feature extraction, cellular imaging, timelapse imaging and tracking, volumetric tiling, voxel imaging, 3D graphics, spherical harmonics (3D, or 4D hyperspherical), light-sheet microscopy, particle image velocimetry (PIV), EFM and/or similar areas would be beneficial. This role will initially be a fixed term contract for 3+ years, with the potential to become a permanent More ❯

given rapidly evolving techniques. Strong algorithm development and software engineering ability, particularly around computational modelling for image analysis, image processing and/or machine learning (ideally CNNs for volumetric data). Increasingly, software architecture is a consideration. Python, TensorFlow, Keras, PyLattice or similar technologies would be indicative; additional languages such as C++ are also acceptable. Familiarity with computer vision … big data, geometric feature extraction, cellular imaging, timelapse imaging and tracking, volumetric tiling, voxel imaging, 3D graphics, spherical harmonics (3D, or 4D hyperspherical), light-sheet microscopy, particle image velocimetry (PIV), EFM and/or similar areas would be beneficial. This role will initially be a fixed term contract for 3+ years, with the potential to become a permanent More ❯

a broad spectrum of development scenarios, making it a powerful choice for modern software engineering. It is widely used for backend microservices and API development, cloud-native application development, big data processing and stream analytics, as well as powering robust web application backends. Additionally, the JVM excels in building distributed systems and is often the foundation for greenfield More ❯

innovative software development engineer, who can help us create the next generation of distributed, scalable ledger systems. Our ideal candidate thrives in a fast-paced environment, relishes working with big data, define microservices to ingest, and enable fast and easy access to transactions and enjoys the challenge of highly complex business contexts of various Amazon business models that More ❯