company that solves real-world problems for large blue-chip companies and governments worldwide. We're pioneers of meaningful AI : our solutions go far beyond chatbots. We are using data and AI to solve the world's biggest issues in telecommunications, sustainable water management, energy, healthcare, climate change, smart cities, and other areas that have a real impact on … We're underpinned by over 300 engineers and scientists working across Africa, Europe, the UK and the US. ABOUT THE ROLE Sand Technologies focuses on cutting-edge cloud-based data projects, leveraging tools such as Databricks, DBT, Docker, Python, SQL, and PySpark to name a few. We work across a variety of data architectures such as Data Mesh, lakehouse, data vault and data warehouses. Our data engineers create pipelines that support our data scientists and power our front-end applications. This means we do data-intensive work for both OLTP and OLAP use cases. Our environments are primarily cloud-native spanning AWS, Azure and GCP, but we also work on systems More ❯
Who We Are BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world's leading financial services firms to help them to operate more effectively. Expand's activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost … maintain our professional, supportive and entrepreneurial working culture that we all enjoy. What You'll Do We're looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions - who also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and … implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines More ❯
company that solves real-world problems for large blue-chip companies and governments worldwide. We're pioneers of meaningful AI : our solutions go far beyond chatbots. We are using data and AI to solve the world's biggest issues in telecommunications, sustainable water management, energy, healthcare, climate change, smart cities, and other areas that have a real impact on … We're underpinned by over 300 engineers and scientists working across Africa, Europe, the UK and the US. ABOUT THE ROLE Sand Technologies focuses on cutting-edge cloud-based data projects, leveraging tools such as Databricks, DBT, Docker, Python, SQL, and PySpark to name a few. We work across a variety of data architectures such as Data Mesh, lakehouse, data vault and data warehouses. Our data engineers create pipelines that support our data scientists and power our front-end applications. This means we do data-intensive work for both OLTP and OLAP use cases. Our environments are primarily cloud-native spanning AWS, Azure and GCP, but we also work on systems More ❯
Curve is a next-gen insights, analytics and technology consultancy that leverages digital consumer data and advanced technology to help businesses unlock consumer opportunities. Digital consumer data is powerful; it's big, it's real, and it's always updating. We use a combination of in-house technology and bespoke solutions, powered by AI, to transform data … machine learning and AI are key to how we deliver impact, centred on: Natural Language Processing, GPT & other LLMs : unearthing trends, themes and other patterns from large text-based data sets, and deploying state-of-the-art AI to automate and empower consumer facing businesses and their insights & analytics functions Marketing Data Science & Personalisation : using first party consumer … data to understand each client's consumer base, building personalisation and other machine learning models to better engage with and excite consumers Data Engineering & Data Architecture : data engineering across a variety of tools to integrate these leading technologies into optimised and efficient data models and ecosystems, feeding into best-in-class analytics dashboards, marketing activation More ❯
Develop a deep understanding of Visa's data assets and how they can be used to support Data Science activities across the company Execute data engineering projects ranging from small to large either individually or as part of a project team. Build and maintain ETL pipelines in Spark, Python or HIVE that process transaction and account level … data and standardize data fields across various data sources Troubleshoot Design, develop, and maintain reusable data assets Define and build technical/data documentation and experience with code version control systems (e.g. git). Ensure data accuracy, integrity and consistency Collaborate with Data Engineering teams in North America and other Global regions to … production and maintenance of key data assets. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Required qualifications: Bachelor's Degree in an analytical field such as computer science, statistics, finance, economics or relevant area. Entry level experience of Hadoop ecosystem and associated technologies, (For e.g. Apache Spark, MLlib, GraphX, iPython More ❯
As a Senior Data Engineer, you will be responsible for the development of complex data sources and pipelines into our data platform (i.e. Snowflake) along with other data applications (i.e. Azure, Airflow, etc.) and automation. The Senior Data Engineer will work closely with the data, Architecture, Business Analyst, Data Stewards to integrate and … align requirements, specifications and constraints of each element of the requirement. They will also need to help identify gaps in resources, technology, or capabilities required, and work with the data engineering team to identify and implement solutions where appropriate. Work type: Contract Length: initial 6 months Work structure: hybrid 2 days a week in London. Primary Responsibilities: Integrate data from multiple on prem and cloud sources and systems. Handle data ingestion, transformation, and consolidation to create a unified and reliable data foundation for analysis and reporting. Develop data transformation routines to clean, normalize, and aggregate data. Apply data processing techniques to handle complex data structures, handle missing or inconsistent data, and prepare More ❯
technology and a desire to make a real impact in the financial services industry, we would love to hear from you. About this role We are seeking a skilled Data Engineer - Data Lakehouse to join our team. The ideal candidate should be experienced in designing and building data pipelines, performing ETL operations, and managing databases. The candidate … will also need to have knowledge and experience in using AWS services for data processing, storage, and analysis. Responsibilities Design, build and maintain efficient and scalable data pipelines to support data processing and analysis. Develop and implement ETL processes to ensure data quality and integrity. Manage and optimize databases, including designing schema and indexing strategies, data partitioning and data archival. Work closely with data scientists and business analysts to understand data requirements and translate them into technical solutions. Collaborate with DevOps and IT teams to deploy, monitor and troubleshoot data systems. Develop and maintain documentation on data infrastructure and processes. Stay current with the latest data engineering technologies, tools More ❯
As a Senior Data Engineer, you will be responsible for the development of complex data sources and pipelines into our data platform (i.e. Snowflake) along with other data applications (i.e. Azure, Airflow, etc.) and automation. The Senior Data Engineer will work closely with the data, Architecture, Business Analyst, Data Stewards to integrate and … align requirements, specifications and constraints of each element of the requirement. They will also need to help identify gaps in resources, technology, or capabilities required, and work with the data engineering team to identify and implement solutions where appropriate. Work type: Contract Length: initial 6 months Work structure: hybrid 2 days a week in London. Primary Responsibilities: Integrate data from multiple on prem and cloud sources and systems. Handle data ingestion, transformation, and consolidation to create a unified and reliable data foundation for analysis and reporting. Develop data transformation routines to clean, normalize, and aggregate data. Apply data processing techniques to handle complex data structures, handle missing or inconsistent data, and prepare More ❯
and highly skilled Generative AI Architect to lead the design and implementation of advanced AI solutions tailored for professional services. This role requires expertise in AI-driven decision automation , data-driven insights , and scalable architecture to enhance business processes and client outcomes. As a key member of our team, you will architect solutions that learn, reason, and make intelligent … optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect robust data pipelines to support AI model training and inference. Implement automated data collection, integration, cleansing, and transformation techniques to ensure high-quality data inputs. Collaborate with data engineering teams to align AI solutions with real-world business applications. AI Model Training, Evaluation & Performance Optimization Train AI models using supervised, unsupervised, and reinforcement learning techniques , refining them based on business insights . Define model performance metrics to ensure AI solutions deliver tangible value. Real-Time AI Applications & System Integration Work alongside software More ❯
and highly skilled Generative AI Architect to lead the design and implementation of advanced AI solutions tailored for professional services. This role requires expertise in AI-driven decision automation , data-driven insights , and scalable architecture to enhance business processes and client outcomes. As a key member of our team, you will architect solutions that learn, reason, and make intelligent … optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect robust data pipelines to support AI model training and inference. Implement automated data collection, integration, cleansing, and transformation techniques to ensure high-quality data inputs. Collaborate with data engineering teams to align AI solutions with real-world business applications. AI Model Training, Evaluation & Performance Optimization Train AI models using supervised, unsupervised, and reinforcement learning techniques , refining them based on business insights . Define model performance metrics to ensure AI solutions deliver tangible value. Real-Time AI Applications & System Integration Work alongside software More ❯
maintaining robust and scalable machine 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 on personality, potential, and enthusiasm … development best practices and methodologies. 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 understanding 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 versioning, tracking, and model monitoring. Ability to optimize and fine-tune ML models for More ❯
maintaining robust and scalable machine 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 on personality, potential, and enthusiasm … development best practices and methodologies. • 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 understanding 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 versioning, tracking, and model monitoring. • Ability to optimize and fine-tune ML models for More ❯
to ESPN and ESPN+, and much more. Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. The Data Reliability Engineering team for Disney's Product and Data Engineering team is responsible for maintaining and improving the reliability of Disney Entertainment's bigdata platform … which processes hundreds of terabytes of data and billions of events daily. Job Summary: The Senior Software Engineer will help us in the ongoing mission of delivering outstanding services to our users allowing Disney Entertainment to be more data-driven. You will work closely with our partner teams to monitor and drive improvements for reliability and observability of … their critical data pipelines and deliverables. This is a high-impact role where your work informs decisions affecting millions of consumers, with a direct tie to The Walt Disney Company's revenue. You will be making an outsized impact in an organization that values data as its top priority. We are a tight and driven team with bigMore ❯
Snr Data Engineer - Global Accounts, Professional Services, AWSI-SDT-APJ-Japan Job ID: Amazon Web Services Japan GK Our AWS Professional Services consultants deliver IT infrastructure and application architecture guidance, lead proof-of-concept projects, perform enterprise portfolio assessments, review operational best practices and conduct skills transfer workshops. AWS consultants collaborate with customers and partners to address security and … compliance, performance and scale, availability and manageability. They advise customers on data platforms using the full range of AWS services. They also assist with the non-technical change management work on policies, processes and people changes. At AWS, we're looking for technical architects to collaborate with our customers and partners on key engagements, while helping our partners to … hands-on keyboard capacity, technical leadership experience, and ability to learn fast in a fast paced environment. They will focus on customer solutions that enables customers to be a data-first organization. Key job responsibilities Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as More ❯
Job Title: Senior Data Engineer Location: London, UK (3 days in the office) SC Cleared: Required Job Type: Full-Time Experience: 8+ years Job Summary : We are seeking a highly skilled and experienced Senior Data Engineer to join our team and contribute to the development and maintenance of our cutting-edge Azure Databricks platform for economic data. This … platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Senior Data Engineer will be responsible for building and optimising data pipelines, implementing data transformations, and ensuring data quality and reliability. This role requires a strong understanding of data engineering principles, bigdata technologies, cloud computing (specifically Azure), and experience working … with large datasets. Key Responsibilities : Data Pipeline Development & Optimisation : Design, develop, and maintain robust and scalable data pipelines for ingesting, transforming, and loading data from various sources (e.g., APIs, databases, financial data providers) into the Azure Databricks platform. Optimise data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules More ❯
Job Title: Senior Data Engineer Location: London, UK (3 days in the office) SC Cleared: Required Job Type: Full-Time Experience: 8+ years Job Summary : We are seeking a highly skilled and experienced Senior Data Engineer to join our team and contribute to the development and maintenance of our cutting-edge Azure Databricks platform for economic data. This … platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Senior Data Engineer will be responsible for building and optimising data pipelines, implementing data transformations, and ensuring data quality and reliability. This role requires a strong understanding of data engineering principles, bigdata technologies, cloud computing (specifically Azure), and experience working … with large datasets. Key Responsibilities : Data Pipeline Development & Optimisation : Design, develop, and maintain robust and scalable data pipelines for ingesting, transforming, and loading data from various sources (e.g., APIs, databases, financial data providers) into the Azure Databricks platform. Optimise data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules More ❯
Job Description: Are you passionate about Data and Analytics (D&A) and excited about how it can completely transform the way an enterprise works? Do you have the strategic vision, technical expertise, and leadership skills to drive data-driven solutions? Do you want to work in a dynamic, fast-growing category? If so, you might be the ideal … candidate for the role in the Data and Analytics function for Global Pet Nutrition (PN) at Mars. Pet Nutrition (PN) is the most vibrant category in the FMCG sector. As we work to transform this exciting category, a new program, Digital First, has been mobilized by the Mars Pet Nutrition (PN) leadership team. Digital First places pet parents at … to demonstrate significant thought leadership, quality decision making, deep technical know-how, and an ability to navigate complex business challenges while building and leading a team of world class data and analytics leaders. With Digital First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage More ❯
Job Description: Are you passionate about Data and Analytics (D&A) and excited about how it can completely transform the way an enterprise works? Do you have the strategic vision, technical expertise, and leadership skills to drive data-driven solutions? Do you want to work in a dynamic, fast-growing category? If so, you might be the ideal … candidate for the role in the Data and Analytics function for Global Pet Nutrition (PN) at Mars. Pet Nutrition (PN) is the most vibrant category in the FMCG sector. As we work to transform this exciting category, a new program, Digital First, has been mobilized by the Mars Pet Nutrition (PN) leadership team. Digital First places pet parents at … to demonstrate significant thought leadership, quality decision making, deep technical know-how, and an ability to navigate complex business challenges while building and leading a team of world class data and analytics leaders. With Digital First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage More ❯
experienced and innovative Senior BI/Performance Analyst to join our high-performing team, focusing on a strategic regional client account. This role will be pivotal in transforming complex data into actionable intelligence, driving performance optimization, and enhancing client value proposition. The ideal candidate will blend advanced analytical skills with business acumen to deliver insights that shape strategic decisions … and operational excellence. Key Responsibilities Advanced Data Analytics and Predictive Modeling Develop and implement sophisticated statistical models and machine learning algorithms to forecast trends, predict outcomes, and identify opportunities for performance enhancement. Utilize advanced analytics techniques such as regression analysis, time series forecasting, and clustering to extract deeper insights from multifaceted datasets. Design and execute A/B tests … and correlations in client data. Develop and maintain a comprehensive performance measurement framework, aligning metrics with client's strategic objectives. Lead root cause analyses for complex performance issues, proposing data-driven solutions. Business Intelligence and Data Visualization Architect and implement end-to-end BI solutions, from data integration to front-end dashboards. Create interactive, dynamic dashboards and More ❯
supporting their unique goals and ambitions. Role Summary The purpose of the MI/BI & Insight Manager is to effectively lead and co-ordinate a team of MI Analysts, Data Analysts and BI Developers to generate, analyse and present information for key operational and business activities in order to deliver insightful analysis and reporting to support Business Managers. And … controlled policies, procedures, legislative and regulatory requirements, while providing exceptional internal customer service and driving business growth. Play a key role in the development of the roadmap for the data platform and reporting solutions. Act as key curator of data within the team, being responsible for the processes of collection, governance, storage, security and accessibility of all our … data, from raw data through to transformed business-facing data. Responsible for creating an MI and BI Framework that will be followed by the team to ensure a common way of working and avoid data quality issues. Responsible for the comprehensive efforts related to the design, implementation, and operation of BI data analysis systems. Take a More ❯
Head of Data & Analytics Architecture and AI page is loaded Head of Data & Analytics Architecture and AI Apply locations Chiswick Park time type Full time posted on Posted 30+ Days Ago job requisition id JR19765 Want to help us bring happiness to the world? Want to join an ambitious and fast growing global biscuits and confectionery business investing … pladis offers global ambition, a clear Vision and roadmap for success, challenge, and unrivalled opportunities to learn and make an impact Click "Apply" to get started. The Head of Data & Analytics Architecture and AI mission has three facets. 1) To own the D&A Architecture ensuring alignment with business objectives and the technology transformation agenda for D&A to … provide enabling Digital services such as Data as a Service via APIs and Insights as a Service 2) To own and deliver the technology capability for Data, Analytics and AI (D&A). Working closely with the Squads on a daily basis, the Lead Engineer will help the squads deliver maximum outputs for each sprint ensuring each sprint More ❯
Artificial Intelligence Engineer/Data Scientist £50k - £90k dependant on experience bonus good bens. Flexible Working Location opportunity. This role may suit individuals who have previously held roles such as Data Engineer, Data Architect, BigData Consultant, Data Scientist, Data Modeller, BigData Analyst, or AI Engineer. We are assisting in … recruiting AI Engineers/Data Scientists to join an innovative and growing team within the data practice of a prestigious global technology consulting firm. The client offers excellent career growth, professional development, and a personalized benefits package. Candidates must ideally have UK security clearance and be fully flexible regarding working location. The successful candidate will be a key … team member designing modern analytical data solutions, engaging in the full project lifecycle. The role offers a diverse range of exciting work. Key Skills We are recruiting at various levels within the salary range, so candidates are not expected to be experienced in all areas listed below. AI techniques (supervised and unsupervised machine learning, deep learning, graph dataMore ❯
Amazon strives to be the world's most customer-centric company, where customers can research and purchase anything they might want online. We set big goals and are looking for people who can help us reach and exceed them. The CPT Data Engineering & Analytics (DEA) team builds and maintains critical data infrastructure that enhances seller experience and … protects the privacy of Amazon business partners throughout their lifecycle. We are looking for a strong Data Engineer to join our team. The Data Engineer I will work with well-defined requirements to develop and maintain data pipelines that help internal teams gather required insights for business decisions timely and accurately. You will collaborate with a team … of Data Scientists, Business Analysts and other Engineers to build solutions that reduce investigation defects and assess the health of our Operations business while ensuring data quality and regulatory compliance. The ideal candidate must be passionate about building reliable data infrastructure, detail-oriented, and driven to help protect Amazon's customers and business partners. They will be More ❯
Metyis is growing! We are looking for a Data Engineering Associate with 3-4 years of experience to join our Data and Analytics team in London. Who we are Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering BigData, Digital Commerce, Marketing & Design solutions and Advisory … yourself. We are Metyis. Partners for Impact. What we offer Interact with senior stakeholders at our clients on regular basis to drive their business towards impactful change. Working with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation, and visualization. Become part of a fast-growing international and diverse team. What … solve concrete business challenges in a range of domains. Collect functional and non-functional requirements, consider technical environments, business constraints, and enterprise organizations. Support our clients in executing their BigData strategies by designing and building operational data platforms: ETL pipelines, data anonymization pipelines, data lakes, near real-time streaming data hubs, web services More ❯
sets thefoundation for delivering our full suite of capabilities. Job Description Employment Type: Full-Time Location: UK Job Overview We are looking for a skilled Database Designer/Senior Data Engineer to join our data engineering team. This role involves the development and maintenance of data solutions in the cloud environment. The ideal candidate will have a … strong background in data processing and a solid understanding of cloud data services. Requirements Key Responsibilities Design and implement modern data platforms in cloud such as AWS or Azure. Develop data pipelines and data streaming processes. Ensure data solutions are scalable, reliable, and efficient. Collaborate with data analysts and other stakeholders to meet … data requirements. Optimize data storage and processing for performance and cost. Maintain data security and compliance standards. Minimum Qualifications Bachelor's degree in Computer Science , Information Technology, Engineering, or a related field. Minimum 3 years of experience as a Database Designer & Senior Data Engineer, with hands-on experience in cloud based data services. Proficiency in More ❯
