301 to 325 of 724 Big Data Jobs in the UK

depth understanding of the code behind the Apache ecosystem, should have experience in Cloudera or similar distribution and should possess in depth knowledge of bigdata tech stack. Requirement: Experience of platform engineering along with application engineering (hands-on) Experience in design of an open source platform based on Apache framework … to support all developers in migrating and debugging various RiskFinder critical applications. They need to be "Developers" who are expert in designing and building Big Data platforms using Apache Hadoop and support Apache Hadoop implementations both in cloud environments and on-premises. More ❯

depth understanding of the code behind the Apache ecosystem, should have experience in Cloudera or similar distribution and should possess in depth knowledge of bigdata tech stack. Requirement: Experience of platform engineering along with application engineering (hands-on) Experience in design of an open source platform based on Apache framework … to support all developers in migrating and debugging various RiskFinder critical applications. They need to be "Developers" who are expert in designing and building Big Data platforms using Apache Hadoop and support Apache Hadoop implementations both in cloud environments and on-premises. More ❯

cycle. You have demonstrable experience in providing operational best practice guidance in two of the following technical domains: Compute, Storage, Networking, CDN, Databases, DevOps, Big Data and Analytics, Security, Applications Development. You preferably have software engineering, SRE and/or external customer-facing experience with the ability to … modernizations for your customers on AWS BASIC QUALIFICATIONS - Experience in at least two of the following technical domains: Compute, Storage, Networking, CDN, Databases, DevOps, Big Data and Analytics, Security, Applications Development. - Software Engineering, SRE and/or external customer-facing experience with the ability to clearly articulate and More ❯

AWS? AWS Enterprise Support, Technical Account Managers (TAM) support our customers' creative and transformative spirit of innovation across all technologies - including Compute, Storage, Database, Big Data, Application-level Services, Networking, Serverless, Deployment, Security and more. This is not a sales role, but rather an opportunity to be the … Experience with operational parameters and troubleshooting for three (3) of the following: compute/storage/networking/CDN/databases/DevOps/big data and analytics/security/applications development in a distributed systems environment Bachelor's degree PREFERRED QUALIFICATIONS Experience with AWS services or More ❯

Title: Data Scientist Location Options: Scottsdale, AZ Stamford, CT Wakefield, MA Las Vegas, NV Job Type: Full Time Exempt Who You Are: As a Data Scientist at Curaleaf, you'll play a critical role in shaping the future of the cannabis industry through data-driven insights. We … business problems to generate actionable insights and support decision-making. Build and deploy efficient forecasting models while collaborating with cross-functional teams to provide data-driven recommendations. Use data visualization to communicate results to non-technical stakeholders and stay current on forecasting trends, particularly within the cannabis industry. … What You'll Bring: You have 3-5 years of experience in data science, specializing in time series forecasting and predictive modeling You have a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field You have strong proficiency in More ❯

AWS Data Engineer Old Trafford/Trafford Park, Manchester (Hybrid-Working) c£80,000 per year Plus excellent company benefits and rewards package The Opportunity: Are you passionate about data and problem-solving? We're looking for a skilled Data Engineer to join our client’s growing … team? You'll play a key role in developing, maintaining, and improving our end-to-end data pipeline, working with cutting-edge technologies and large-scale datasets in real-time. Skills and Experience: Strong problem-solving skills Knowledge of AWS or similar cloud platforms Experience with serverless technologies and … testing Experience debugging business-critical systems Role and Responsibilities: Write high-quality application code and tests Develop infrastructure automation and scheduling scripts for reliable data processing Continuously improve platform performance with cutting-edge technologies Provide support for production systems Review code and give helpful feedback Developing scalable backend and More ❯

on technical leadership in the delivery of proofs-of-concept or proofs-of-architecture for our customers. • Collaborate with application engineers, product managers, and data scientists to deliver solutions that solve real-world problems • Deeply embedded with our most strategic platform customers, serving as their technical thought partner in … and external repositories. • Validate, synthesize, and deliver high-signal feedback to the Product and Research teams. Technical Skills – Must have: • AI Solution Architects are data and analytics professionals with at least 5 years of experience with knowledge of Transformer (and other Deep Learning) Architectures, data lake architectures, data integration, and data governance, and at least 2 years of experience with cloud-based AI/ML technologies (such as tools from AWS, Azure, Google, HuggingFace, OpenAI and Databricks) building ML or applied AI solutions. • A passion for Generative AI, and an understanding of strengths and weaknesses of More ❯

on technical leadership in the delivery of proofs-of-concept or proofs-of-architecture for our customers. • Collaborate with application engineers, product managers, and data scientists to deliver solutions that solve real-world problems • Deeply embedded with our most strategic platform customers, serving as their technical thought partner in … and external repositories. • Validate, synthesize, and deliver high-signal feedback to the Product and Research teams. Technical Skills – Must have: • AI Solution Architects are data and analytics professionals with at least 5 years of experience with knowledge of Transformer (and other Deep Learning) Architectures, data lake architectures, data integration, and data governance, and at least 2 years of experience with cloud-based AI/ML technologies (such as tools from AWS, Azure, Google, HuggingFace, OpenAI and Databricks) building ML or applied AI solutions. • A passion for Generative AI, and an understanding of strengths and weaknesses of More ❯

Data Engineer Remote OB has partnered with a household fashion name from the UK high street, to find a number of Data Engineers to join their team based out of London. We’re on the look for people who are passionate about designing, building, and maintaining scalable data pipelines. You’ll work with cutting-edge technologies, collaborate with cross-functional teams, and play a key role in optimising their data infrastructure. Requirements: Strong experience in Python, SQL, and big data technologies (Hadoop, Spark, NoSQL) Hands-on experience with cloud platforms (AWS, GCP, Azure) Proficiency … in data processing frameworks like PySpark A problem-solver who thrives in a fast-paced environment Excellent communication skills to collaborate with technical and non-technical stakeholders Salary: Up to £50k per year, plus profit related bonus scheme. Unfortunately, this job does not offer sponsorship. If you're interested More ❯

Data Engineer London (Hybrid) OB has partnered with a household fashion name from the UK high street, to find a number of Data Engineers to join their team based out of London. We’re on the look for people who are passionate about designing, building, and maintaining scalable … data pipelines. You’ll work with cutting-edge technologies, collaborate with cross-functional teams, and play a key role in optimising their data infrastructure. Requirements: Strong experience in Python, SQL, and big data technologies (Hadoop, Spark, NoSQL) Hands-on experience with cloud platforms (AWS, GCP, Azure … Proficiency in data processing frameworks like PySpark A problem-solver who thrives in a fast-paced environment Excellent communication skills to collaborate with technical and non-technical stakeholders Salary: Up to £50k per year, plus profit related bonus scheme. If you're interested in applying, or would like to More ❯

Data Engineer London (Hybrid) OB has partnered with a household fashion name from the UK high street, to find a number of Data Engineers to join their team based out of London. We’re on the look for people who are passionate about designing, building, and maintaining scalable … data pipelines. You’ll work with cutting-edge technologies, collaborate with cross-functional teams, and play a key role in optimising their data infrastructure. Requirements: Strong experience in Python, SQL, and big data technologies (Hadoop, Spark, NoSQL) Hands-on experience with cloud platforms (AWS, GCP, Azure … Proficiency in data processing frameworks like PySpark A problem-solver who thrives in a fast-paced environment Excellent communication skills to collaborate with technical and non-technical stakeholders Salary: Up to £50k per year, plus profit related bonus scheme. If you're interested in applying, or would like to More ❯

services. AWS Enterprise Support, Technical Account Managers (TAM) support our customers' creative and transformative spirit of innovation across all technologies - including Compute, Storage, Database, Big Data, Application-level Services, Networking, Serverless, Deployment, Security and more. This is not a sales role, but rather an opportunity to be the … Experience with operational parameters and troubleshooting for three (3) of the following: compute/storage/networking/CDN/databases/DevOps/big data and analytics/security/applications development in a distributed systems environment. 3+ years experience in Informational Technology operations Internal enterprise or More ❯

Intelligence Engineer, MCS to join Team Snapchat! What you'll do: Understanding challenges the business faces and helping them to make decisions based on data driven insights by collating and analyzing information from multiple sources and a logical and coherent story. Understand the business challenges and needs to help … leadership make data driven decisions by analyzing and combining data across multiple sources. Identify performance trends across auction campaigns to fuel optimization recommendations; evangelize best practices across the account management group. Use data and logic to impact client and business success by providing analysis, insights, reports and … actionable recommendations. Partner with cross-functional teams to build out measurement agendas/strategies, provide data based insights for products in alpha or beta, and deliver feedback on data tools in development. Distill complicated analytical concepts for broader audiences and be able to influence their decision making through More ❯

SENIOR DATA SCIENTIST £55,000 – £75,000 + 12% BONUS WEST LONDON – 3 DAYS IN OFFICE Join one of the UK's leading customer analytics consultancies, known for their best-in-class data science capability and deep expertise across FMCG and retail sectors. As a Senior Data Scientist, you’ll apply advanced modelling techniques to drive impactful, data-led solutions for major consumer brands. THE COMPANY This consultancy has built a reputation for delivering high-quality analytics solutions to household-name clients across FMCG and retail. You’ll be joining a fast-paced, collaborative environment … filled with talented data scientists and consultants who are passionate about solving real-world business problems through data. THE ROLE As a Senior Data Scientist, you’ll work closely with clients to understand their customer behaviour through deep data analysis and predictive modelling. You’ll leverage tools More ❯

Modelling & Storage Relational (PostgreSQL, SQL Server), NoSQL (MongoDB, Cassandra), Dimensional modelling. DevOps & Automation Docker, Kubernetes, Terraform, CI/CD pipelines for data flows. Architectural Competencies Data Modelling: Designing dimensional, relational, and Document data lineage and recommend improvements for data ownership and stewardship. Qualifications Programming: Python, SQL … Scala, Java. Big Data: Apache Spark, Hadoop, Databricks, Snowflake, etc. Cloud: AWS (Glue, Redshift), Azure (Synapse, Data Factory More ❯

Are you passionate about social media? Do you love developing quality features for customers and solving complex challenges involving Big Data? Do you value the work-life balance? If so, Oktopost is looking for you! Oktopost is revolutionizing the way companies connect with their customers and audiences. We … Responsibilities Work on new and existing features for Oktopost's SaaS application using modern technologies and best practices Implement processes for consuming and analyzing Big Data Contribute to technical discussions and decisions of architecture growth and code evaluation Work as part of an experienced team and participating in … complex SaaS applications Experience with NoSQL and in-memory databases (MongoDB, CouchDB, Redis, or others) Experience with analytical databases and processing large scales of data (ClickHouse, Apache Druid, or others) Experience with analyzing and tuning database queries Experience with Event-Driven Architecture Can't find the position you're More ❯

networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Data Engineer II Role description: Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're … innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Data Engineer II Responsibilities: Independently execute projects through design, implementation, automation, and maintenance of large-scale enterprise ETL processes for a global client base. Develop … repeatable and scalable code that processes client data in an automated and efficient manner to ensure data availability in the platform is as real-time as possible. Act as an expert data resource within the team. Manage the process of data delivery on teams by overseeing More ❯

is working on a platform that will provide real-time insights of traffic, sales, deals, and engagement and is looking for a rock star data engineer to build this. At Amazon, understanding customer data is paramount to our success in making it Earth's most measurably effective marketing … verticals of A.in, Prime, Fashion, Fresh, Pay, etc. At Amazon, you will be working in one of the world's largest and most complex data environments. You will be part of a team that will work with the marketing, retail, finance, analytics, machine learning, and technology teams to provide … real-time data processing solutions that give Amazon leadership, marketers, and PMs timely, flexible, and structured access to customer insights. The team will be responsible for building this platform end to end using the latest AWS technologies and software development principles. As a Data Engineer, you will be More ❯

learning pipelines. This person will possess a strong background in DevOps practices, machine learning principles, and cloud computing platforms. You will work closely with data scientists and software engineers to streamline the deployment and monitoring of machine learning models, ensuring efficiency and reliability in ML operations. We hire based … Experience with version control systems (e.g., Git). • Familiarity with CI/CD tools and practices. • Strong problem-solving and analytical skills. • Understanding of data structures and algorithms. • Ability to design and develop scalable, efficient, and maintainable software systems. • Experience with microservice architecture, API development. Machine Learning (ML): • Deep … of machine learning principles, algorithms, and techniques. • Experience with popular ML frameworks and libraries like TensorFlow, PyTorch, scikit-learn, or Apache Spark. • Proficiency in data preprocessing, feature engineering, and model evaluation. • Knowledge of ML model deployment and serving strategies, including containerization and microservices. • Familiarity with ML lifecycle management, including More ❯

Amazon Web Services (AWS), we are helping large enterprises build AI solutions on the AWS Cloud. We apply predictive technology to large volumes of data across a wide spectrum of problems. AWS Professional Services works together with AWS customers to address their business needs using AI solutions. As a … automation, and high-availability features of the AWS platform. You will build customer solutions with Amazon SageMaker, Amazon Bedrock, Amazon Elastic Compute (EC2), Amazon Data Pipeline, Amazon S3, Glue, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, AWS Lake Formation, and other AWS … through planning, prioritization, and delivery of complex transformation initiatives, while collaborating with relevant AWS Sales and Service Teams. Assist customers in delivering AI/data projects from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models More ❯

learning pipelines. This person will possess a strong background in DevOps practices, machine learning principles, and cloud computing platforms. You will work closely with data scientists and software engineers to streamline the deployment and monitoring of machine learning models, ensuring efficiency and reliability in ML operations. We hire based … Experience with version control systems (e.g., Git). Familiarity with CI/CD tools and practices. Strong problem-solving and analytical skills. Understanding of data structures and algorithms. Ability to design and develop scalable, efficient, and maintainable software systems. Experience with microservice architecture, API development. Machine Learning (ML): Deep … of machine learning principles, algorithms, and techniques. Experience with popular ML frameworks and libraries like TensorFlow, PyTorch, scikit-learn, or Apache Spark. Proficiency in data preprocessing, feature engineering, and model evaluation. Knowledge of ML model deployment and serving strategies, including containerization and microservices. Familiarity with ML lifecycle management, including More ❯

Are you a seasoned Data Scientist eager to collaborate with a team of top-tier innovators, tackling diverse products across various industries? If so, Nexaphaze could be the perfect fit for you. We're seeking an experienced Data Scientist to join our team of innovators, working on cutting … edge projects for a diverse range of clients. You'll collaborate with entrepreneurs and business leaders, helping them harness the power of data to drive business decisions, from early-stage MVPs to large-scale AI-powered products. At Nexaphaze, you'll be part of a cross-functional team with … expertise in areas like fintech, AI, IoT, and more, solving complex problems and delivering meaningful insights. What You'll Be Doing: As a Data Scientist, your responsibilities will include: Collecting, analyzing, and interpreting large datasets to solve business challenges. Building predictive models and machine learning algorithms to inform product More ❯

and mitigate potential cyberattacks. Opportunities to make an impact with bold thinking are real-and happening daily at Coalition. About the role As a Data Scientist at Coalition you will be responsible for measuring, understanding, and helping optimize Coalition's underwriting. You will perform statistical analysis to provide data … selection and reduction, pricing and automation in order to grow our revenue in a safe and efficient manner. Responsibilities Analyze diverse datasets including claims data, cybersecurity risk signals, and underwriting databases to extract meaningful patterns and insights Large scale data analysis with the objective of producing valuable risk … management Deliver analysis that will directly inform the development of automated underwriting systems Collaborate cross-functionally with actuarial, product, and engineering teams to implement data-driven improvements Work alongside senior data scientists, software engineers, and cyber security engineers to improve underwriting at Coalition Intellectual curiosity and proactive approach More ❯

As an MLOps Engineer, you will be responsible for building, deploying, and maintaining scalable machine learning infrastructure in AWS. You will work closely with data scientists, DevOps teams, and software engineers to ensure that machine learning models can be successfully operationalised, monitored, and updated in real-time environments. Key … the full machine learning lifecycle, integrating models into CI/CD pipelines (CodePipeline, Jenkins, GitLab CI) for seamless deployment and version control. Collaborate with data scientists and engineers to transition models from development to production, optimizing workflows and resource usage. Manage and optimize data pipelines, ensuring data … training, testing, and inference at scale, supporting model performance improvements. Design cloud-native, cost-efficient machine learning solutions that scale based on real-time data and increasing workloads. Required Skills & Experience: Hands-on experience with AWS services such as SageMaker, Lambda, EKS, EC2, CloudFormation, and DynamoDB for deploying and More ❯

and lead implementation projects. These professional services engagements will focus on key customer solutions such as, web applications, enterprise applications, HPC, batch processing and big data, archiving and disaster recovery, education and government. Professional Services engage in a wide variety of projects for customers and partners, providing collective … ELB, RDS, Route53 & S3) - Track record of implementing AWS services in a variety of distributed computing environments as well as large scale migration experience Data Center to Data Center and/or Data Center to Cloud Infrastructure automation through DevOps scripting (E.g. shell, Python, Ruby, Powershell) - Practical … Linux and Windows-based systems administration skills in a Cloud or Virtualized environment - Experience managing data center operations, including data assurance, monitoring, alerting and notifications as well as demonstrated ability to think strategically about business, product, and technical challenges Amazon est un employeur engagé pour l'égalité des More ❯