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 ❯
developer with 2–3 years of experience to contribute to scalable, innovative software solutions. You’ll collaborate with cross-functional teams to design, build, and maintain applications that power data-driven decision-making and automation. Key Responsibilities Develop and optimize data processing pipelines for large-scale datasets. Design, implement, and maintain scalable applications using Python. Collaborate with data scientists to integrate ML models into production systems. Build and deploy RESTful APIs and microservices to support frontend and data services. Perform data wrangling, cleaning, and transformation for analytics and reporting. Write clean, modular, and high-performance code with strong documentation. Ensure application security, performance, and scalability across services. Stay up-to-date with the latest technologies … in data engineering and Python development. Requirements Technical Skills 2–3 years of hands-on experience as a Python Developer. Strong proficiency in Python 3.x and frameworks such as Flask , FastAPI , or Django . Solid experience with data libraries like Pandas , NumPy , and Dask . Familiarity with data processing frameworks (e.g., PySpark , Apache Beam ). Proficient in More ❯
developer with 2–3 years of experience to contribute to scalable, innovative software solutions. You’ll collaborate with cross-functional teams to design, build, and maintain applications that power data-driven decision-making and automation. Key Responsibilities Develop and optimize data processing pipelines for large-scale datasets. Design, implement, and maintain scalable applications using Python. Collaborate with data scientists to integrate ML models into production systems. Build and deploy RESTful APIs and microservices to support frontend and data services. Perform data wrangling, cleaning, and transformation for analytics and reporting. Write clean, modular, and high-performance code with strong documentation. Ensure application security, performance, and scalability across services. Stay up-to-date with the latest technologies … in data engineering and Python development. Requirements Technical Skills 2–3 years of hands-on experience as a Python Developer. Strong proficiency in Python 3.x and frameworks such as Flask , FastAPI , or Django . Solid experience with data libraries like Pandas , NumPy , and Dask . Familiarity with data processing frameworks (e.g., PySpark , Apache Beam ). Proficient in More ❯
Galytix (GX) is delivering on the promise of AI. GX has built specialised knowledge AI assistants for the banking and insurance industry. Our assistants are fed by sector-specific data and knowledge and easily adaptable through ontology layers to reflect institution-specific rules. GX AI assistants are designed for Individual Investors, Credit and Claims professionals. Our assistants are being … hallucinating, our assistants are empowering financial professionals and delivering 10x improvements by supporting them in their day-to-day tasks. Responsibilities: Helping to architect, design, implement, and optimise our data ingestion, transformation, and spreading pipelines and processes. Developing data models, processing pipelines, and back-end services supporting the data science teams, automating processes, building integrations, and analytics. … Desired skills: A university degree in Mathematics, Computer Science, Engineering, Physics or similar. 5+ years of relevant experience in Data Engineering, warehousing, ETL, automation, cloud technologies, or Software Engineering in data related areas. Ability to write clean, scalable, maintainable code in Python with a good understanding of software engineering concepts and patterns. Proficiency in other languages like Scala More ❯
Job Description: We are seeking a highly skilled and visionary Director of Data Platforms and Architecture to lead the design, development, and governance of our enterprise-wide Snacking data platform ecosystem. This individual will be responsible for driving platform strategy, fostering innovation, and ensuring robust data architecture that empower multiple products and capabilities to power business decisions … scalability, and operational excellence. As a strategic leader, the Director of Data Platforms and Architecture will oversee the implementation and optimization of cutting-edge data technologies & solutions, establish best practices in data platforms and governance, and provide technical leadership to multidisciplinary teams. You will work closely with stakeholders across business, IT, and analytics teams to align data architecture with organizational goals, enabling seamless data acquisition and advanced analytics capabilities. What will be your key responsibilities? Strategic Leadership: Develop and drive the long-term vision for enterprise data platforms and architecture, ensuring alignment with organizational goals and priorities. Collaborate with C-level executives and business leaders to identify opportunities for leveraging data as a 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 ❯
AWS Data Engineer (Must hold current SC) The Company: At Amber Labs, we are a cutting-edge UK and European technology consultancy that prioritises empowering autonomy, promoting experimentation, and facilitating rapid learning to provide exceptional value to our clients. Our company culture is centred around collaboration, where all colleagues, regardless of their role, work together to minimise risk and … shorten delivery times. Our team consists of highly-skilled cross-functional consultants, analysts, and support staff. Overview: We are looking for a highly skilled AWS Data Engineer to join our team. The ideal candidate will have expertise in designing, building, and managing scalable data pipelines on AWS. You will work closely with data scientists, analysts, and software … engineers to implement efficient data solutions that support business intelligence and analytics needs. Responsibilities: Design, develop, and maintain scalable ETL/ELT pipelines using AWS services such as AWS Glue, Lambda, Step Functions, and Kinesis. Work with structured and unstructured data from multiple sources, ensuring efficient data ingestion, transformation, and storage. Develop and optimize data lake More ❯
delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your role and responsibilities IBM is seeking a skilled Senior Data Engineer to join our dynamic team, focusing on public sector accounts. This role offers an exciting opportunity to leverage your expertise in data engineering to drive impactful solutions … for government clients. The Senior Data Engineer will be responsible for designing, developing, and managing scalable data pipelines, integrating heterogeneous systems, and implementing robust data models. The ideal candidate will collaborate with cross-functional teams to ensure data integrity, security, and availability, while meeting regulatory requirements specific to the public sector. Required education None Preferred education … Bachelor's Degree Required technical and professional expertise Responsibilities: Design, build, and maintain scalable data pipelines and ETL processes. Collaborate with data scientists and engineers to integrate complex data systems. Ensure data quality, accuracy, and reliability through testing and validation procedures. Develop and implement data storage solutions, including data modeling and schema design. Provide 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 ❯
Senior Data Engineer - (Azure/Databricks) page is loaded Senior Data Engineer - (Azure/Databricks) Apply locations London - Scalpel time type Full time posted on Posted 15 Days Ago job requisition id REQ05851 This is your opportunity to join AXIS Capital - a trusted global provider of specialty lines insurance and reinsurance. We stand apart for our outstanding client … status, civil union status, family or parental status, or any other characteristic protected by law. Accommodation is available upon request for candidates taking part in the selection process. Senior Data Engineer (Azure/Databricks Job Family Grouping: Chief Underwriting Officer Job Family: Data & Analytics Location: London How does this role contribute to our collective success? The Data & Analytics department transforms raw data into actionable insights to drive informed decision-making and optimize business operations. The Senior Azure Data Engineer will support these goals by designing, implementing, and managing scalable data solutions on the Azure platform, ensuring efficient data processing, storage, and retrieval. You will play a key role in modernizing our dataMore ❯
Data Engineer, Japan Consumer Innovation (JCI), Data Services & Technologies Are you passionate about working with data and eager to make broad business impact in the rapidly evolving e-commerce business? Are you interested in building data and science solutions to drive strategic direction? Based in Tokyo, the JP Science and Data Technologies team designs, builds … operates, and scales the data infrastructure powering Amazon's retail business in Japan. Working with a diverse, global team serving customers and partners worldwide, you can make a significant impact while continuously learning and experimenting with cutting-edge technologies. The ideal data engineer thrives on working with large-scale data, excels in highly complex technical environments, and … above all, has a passion for data. You will contribute to the MLOps and data platform, which enables various ML and analytical solutions for Amazon Japan. Leveraging your deep experience in data infrastructure and passion for enabling data-driven business impact, you will work closely with economists, scientists, ML engineers and business teams to identify and implement 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 ❯
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 ❯
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 ❯
CloudXcel is a technology-driven company dedicated to providing innovative cloud solutions to businesses worldwide. Our mission is to empower organizations to harness the full potential of their data in the cloud, unlocking insights and driving transformation. With a commitment to cutting-edge technologies and a dynamic, inclusive work environment, we foster growth, creativity, and innovation. Overview: CloudXcel is … seeking a talented and highly motivated Cloud Data Engineer with expertise in Python to join our team. In this role, you will work closely with cross-functional teams to design, develop, and optimize cloud-based data pipelines and infrastructure. The ideal candidate is passionate about data engineering, proficient in Python, and eager to solve complex challenges in … a fast-paced, collaborative environment. Key Responsibilities: Design, develop, and maintain scalable cloud-based data pipelines to collect, process, and analyze large datasets. Build and optimize ETL workflows to ensure efficient data integration and processing. Collaborate with data scientists, analysts, and engineers to support data modeling, analytics, and reporting needs. Leverage Python to implement robust dataMore ❯
Senior Data scientist (Social Media App) - Equity-Only role 0.25% – 0.5% About Luupli Luupli is a social media app 'in-development', which will provide opportunities for diverse creators coming from marginalized communities. Luupli will highlight the work of diverse creators and provide them access to all the opportunities in the social media space. Work Arrangement The commitment required from … with a range of vested benefits. Once the app launches in the spring of 2024, this role will transition into a paid full-time role. Job Description: As a Data Scientist at Luupli, you will play a pivotal role in leveraging AWS analytics services to analyse and extract valuable insights from our data sources. You will collaborate with … cross-functional teams, including data engineers, product managers, and business stakeholders, to develop data-driven solutions and deliver actionable recommendations. Your expertise in AWS analytics tools and techniques will be crucial in shaping our data strategy and driving business growth. Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics More ❯
London, England, United Kingdom Hybrid / WFH Options
Luupli
Senior Data scientist (Social Media App) - Equity-Only role 0.25% – 0.5% About Luupli Luupli is a social media app 'in-development', which will provide opportunities for diverse creators coming from marginalized communities. Luupli will highlight the work of diverse creators and provide them access to all the opportunities in the social media space. Work Arrangement The commitment required from … with a range of vested benefits. Once the app launches in the spring of 2024, this role will transition into a paid full-time role. Job Description: As a Data Scientist at Luupli, you will play a pivotal role in leveraging AWS analytics services to analyse and extract valuable insights from our data sources. You will collaborate with … cross-functional teams, including data engineers, product managers, and business stakeholders, to develop data-driven solutions and deliver actionable recommendations. Your expertise in AWS analytics tools and techniques will be crucial in shaping our data strategy and driving business growth. Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics 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 ❯
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 ❯
Data Engineer, Japan Consumer Innovation (JCI), JP Science and Data Technologies Are you passionate about working with data and eager to make broad business impact in the rapidly evolving e-commerce business? Are you interested in building data and science solutions to drive strategic direction? Based in Tokyo, the Science and Data Technologies team designs … builds, operates, and scales the data infrastructure powering Amazon's retail business in Japan. Working with a diverse, global team serving customers and partners worldwide, you can make a significant impact while continuously learning and experimenting with cutting-edge technologies. The ideal data engineer thrives on working with large-scale data, excels in highly complex technical environments … and above all, has a passion for data. You will lead the development of data solutions to optimize Amazon's retail operations in Japan, turning business needs into robust data pipelines and architecture. Leveraging your deep experience in data infrastructure and passion for enabling data-driven business impact, you will work closely with scientists, software engineers More ❯
