1,101 to 1,125 of 1,886 Big Data Jobs

We’re hiring: Data Engineer | Cloud-first | SQL + Python | AWS At Reward, data is at the core of everything we do — from powering real-time insights to driving smarter customer loyalty. As we scale globally, we’re on the lookout for a curious, driven Data Engineer to help us shape the future of our data platform. 💡 What you’ll be doing: Building and optimising data pipelines in a cloud-first environment (AWS) Collaborating with business stakeholders (tech & non-tech) to deliver smart, scalable reporting and data solutions Migrating and modernising ETL processes and data warehouses for reporting and monetisation Creating well-documented, efficient code in SQL and Python Implementing QA processes … and supporting the business with both regular and ad hoc data deliverables 🛠 Tech you’ll work with: SQL Server (SSIS, SSRS, SSAS) Python AWS stack – Glue, Lambda, S3, EC2, Jupyter Power BI or Tableau (bonus) Excel (PowerPivot, VBA, lookups, advanced formulas) 🌱 You’ll also: Collaborate closely with our Data Engineers and Product Owner Own your solutions end-to More ❯

We’re hiring: Data Engineer | Cloud-first | SQL + Python | AWS At Reward, data is at the core of everything we do — from powering real-time insights to driving smarter customer loyalty. As we scale globally, we’re on the lookout for a curious, driven Data Engineer to help us shape the future of our data platform. 💡 What you’ll be doing: Building and optimising data pipelines in a cloud-first environment (AWS) Collaborating with business stakeholders (tech & non-tech) to deliver smart, scalable reporting and data solutions Migrating and modernising ETL processes and data warehouses for reporting and monetisation Creating well-documented, efficient code in SQL and Python Implementing QA processes … and supporting the business with both regular and ad hoc data deliverables 🛠 Tech you’ll work with: SQL Server (SSIS, SSRS, SSAS) Python AWS stack – Glue, Lambda, S3, EC2, Jupyter Power BI or Tableau (bonus) Excel (PowerPivot, VBA, lookups, advanced formulas) 🌱 You’ll also: Collaborate closely with our Data Engineers and Product Owner Own your solutions end-to More ❯

Data Architect Active SC Clearance Location: Hybrid working 2-3 days onsite Gloucester Inside IR35 Company Overview: We are seeking a skilled Data Architect to join our team. The ideal candidate will be responsible for designing and implementing data architecture solutions that align with the organisation's goals and objectives. You will work closely with stakeholders to … understand their data needs and translate them into technical specifications. The data landscape is rapidly evolving, with businesses increasingly relying on data-driven insights to enhance operational efficiency and drive strategic growth. As organisations collect more data than ever before, the demand for skilled data professionals continues to rise. Our company is at the forefront … leveraging the latest technologies and methodologies to harness the power of data. By joining us, you will be part of an innovative environment that is shaping the future of data architecture and analytics. Key Responsibilities: - Design and implement comprehensive data architecture solutions that promote effective data management and analytics capabilities. - Utilise big data technologies to More ❯

The Cloud Software Engineer develops, maintains, and enhances complex and diverse Big-Data Cloud systems based upon documented requirements. Directly contributes to all stages of back-end processing, analyzing, and indexing. Provides expertise in Cloud Computing, Hadoop Eco-System including implementing Java applications, Distributed Computing, Information Retrieval (IR), and Object Oriented Design. Works individually or as part of … is required. Bachelor's degree in Computer Science or related discipline from an accredited college or university is required; four (4) years of which must be in programs utilizing BigData cloud technologies and/or Distributed Computing. Four (4) years of cloud software engineering experience on projects with similar Big-Data systems may be substituted for a bachelor … required: • Two (2) years of Cloud and/or Distributed Computing Information Retrieval (IR). • One (1) year of experience with implementing code that interacts with implementation of Cloud Big Table. • One (1) year of experience with implementing code that interacts with implementation of Cloud Distributed File System. • One (1) year of experience with implementing complex MapReduce analytics. • One More ❯

Data Security Operations Engineer - Data Encryption Location: London/Hong Kong/Beijing Responsibilities and Goals: Lead the design of cross-border privacy protection solutions and cross-national data encryption solutions for API data flow, supporting national encryption algorithms like SM4/AES and international algorithms. Build an international dynamic data desensitization rules library, adapting … to multilingual sensitive data identification and desensitization. Responsible for the implementation of data protection technologies such as data encryption, TEE, de-identification, and desensitization in international business scenarios. Requirements: Bachelor's degree in Computer Science, Information Security, or related fields, with good English reading and communication skills. Product-oriented mindset, with at least 3 years of experience … in building internet security products. Experience in driving large-scale projects and transformations, with successful cases in data encryption, desensitization, and other data protection directions. At least one successful cross-system full-link data fortification implementation experience. Familiarity with at least one language, such as Java, Go, or Python, and knowledge of Hadoop/Spark ecosystems in More ❯

Data Security Operations Engineer - Data Encryption Location: London/Hong Kong/Beijing Responsibilities and Goals: Lead the design of cross-border privacy protection solutions and cross-national data encryption solutions for API data flow, supporting national encryption algorithms like SM4/AES and international algorithms. Build an international dynamic data desensitization rules library, adapting … to multilingual sensitive data identification and desensitization. Responsible for the implementation of data protection technologies such as data encryption, TEE, de-identification, and desensitization in international business scenarios. Requirements: Bachelor's degree in Computer Science, Information Security, or related fields, with good English reading and communication skills. Product-oriented mindset, with at least 3 years of experience … in building internet security products. Experience in driving large-scale projects and transformations, with successful cases in data encryption, desensitization, and other data protection directions. At least one successful cross-system full-link data fortification implementation experience. Familiarity with at least one language, such as Java, Go, or Python, and knowledge of Hadoop/Spark ecosystems in More ❯

Communication - Must have Banking/Capital Markets Domain - Good to have Note: Candidate should know Scala/Python (Core) coding language. Pyspark profile will not help here. Responsibilities: Good Big Data resource with the below Skillset: Experience in Big data technologies, real time data processing platform (Spark Streaming) experience would be an advantage. Consistently demonstrates More ❯

Retrieval systems to mine the web and automatically create structured entities from unstructured or semi-structured data. We continuously push the boundaries of large-scale distributed systems, Elastic Computing, Big Data, and SOA technologies to meet Amazon’s global needs. Join us in our mission to make everything anyone wants to buy available on Amazon! Who We're … Monitoring systems responsible for generating structured domain entities from data. Develop systems and frameworks for managing the lifecycle of domain entities and their relationships. Create scalable platform capabilities for data processing, metadata generation, and anomaly detection. Address complex problems like automated identity generation, web-to-Amazon namespace translation, and product classification. Design solutions for efficient storage, vending, and search … of products and related data. Leverage serverless and big data technologies to create efficient algorithms for large datasets. Mentor junior engineers and promote best practices in design, coding, testing, and security. Minimum Qualifications 3+ years of professional software development experience. 2+ years of experience in system design or architecture, including scalability and reliability. Proficiency in at least one More ❯

Social network you want to login/join with: Job Opportunity: Python Developer at a Global Data Analytics Company This is an exceptional new position for a talented Python Developer with a global Data Analytics company that has developed an independent platform for managing and measuring converged TV campaigns. This key position offers impressive growth and impact potential … where you will own the full development lifecycle from initial idea and design to delivery. You will work daily with advanced technologies in software development, high scalability, big data, and will need exceptional Software Engineering skills. Responsibilities: Set the technical standard for your team. Own the full development lifecycle from initial idea/design through to delivery. Collaborate … with a talented team of software engineers and data scientists in a fast-paced environment. Interact with various business areas to ensure delivery of high-quality products. Requirements: Experience developing complex software with end-to-end ownership. Proficiency in Python, Ruby, Node.js, or similar functional languages. Experience with cloud technologies. Knowledge of MongoDB, SQL, Postgres, and Snowflake (advantageous). More ❯

Hyperscalers – Practical experience with at least two of the following: AWS Bedrock/Sagemaker, Google Vertex AI, OpenAI, and Azure ML. An understanding of underlying statistics, machine learning and data science, data engineering, and big data concepts. An understanding of the process and data complexities and prerequisites, and success criteria needed to deliver a solution More ❯

About Archive360 Archive360 delivers a modern archiving platform that empowers organizations to address complex data governance and compliance challenges while leveraging AI and analytics. By transforming data into a trusted, accurate , and protected strategic asset, we help organizations achieve their business objectives and drive innovation. Position Overview: We are seeking a Pre-Sales Solutions Architect who blends technical … our sales organization, bridging the gap between technical functionality and customer needs. You'll partner closely with Sales, Product, and Engineering teams to deliver tailored solutions that solve complex data analysis and archiving challenges. Key Responsibilities: Be an expert in big data analytics to excite customers about Archive360 . You will become a trusted advisor on multiple … to customer needs and business goals. Develop customer relationships and build internal partnerships with account executives and teams . What You Bring: Experience with ETL tools such as Azure Data Factory and processes for data extraction, transformation, and loading Must have experience with structured data management and migrations . Involvement in application retirement projects, including data More ❯

with occasional in-person attendance at the office as needed Employment Type : Part-time About Tredence: Tredence is a global analytics services and solutions company. Our capabilities range from Data Visualization, Data Management to Advanced analytics, Big Data and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create … solutions that are transitioned to our clients at the end of the engagement. We do this cost effectively using a global execution model leveraging our clients' existing technology and data assets. We also come in with strong IP and pre-built analytics solutions in data mining, business intelligence and Big Data. Job Responsibility: · Responsible for HR operations … reason Tredence is one of the fastest-growing private companies globally. Join us, and you'll collaborate with some of the brightest, most collaborative, and driven professionals in the data analytics space. You’ll work with cutting-edge technologies and engage directly with senior stakeholders at some of the world’s most innovative and influential companies. We offer a More ❯

non-technical and technical teams. Your Responsibilities You will be responsible for performing complex analysis on large volumes of data. Assist in the development of scripts and tools for data analysis. Serve a central role with a global scope that bridges the gap between Sales and Operations and Research and Development. Identify high-value business insights and reporting needs … build solutions. Collaborate effectively and clearly with clients and their technical teams. Collaborate closely with the sales and commercial teams to identify, develop, and optimize business opportunities. Select appropriate data for an analysis request from the CS team. Gather the data from logs or data stores. Build tools and reports using Python, query languages, Tableau, and other … or other numerate subjects. 4+ years of experience as a BI Analyst, preferably in AdTech. Experience in online mobile advertising and a developer background is a plus. Knowledge in big data technologies. Working with SQL-like query languages, Python, and/or R with large datasets. Experience with Zeppelin and Apache Spark is an advantage. A focus on More ❯

Senior Software Engineer (Python) -London Senior Software Engineer - Python - London/Home office The company: Through the power of AI and Big Data this company have developed a number of data driven tools and platforms aimed at delivering a transparent financial solution. Focusing purely on sustainable investment! If you want the leave the planet clean and beautiful … for the next generation then you share the ethos of this company. This group has 4 arms: A Data Provider: Assessing the performance and sustainability of companies worldwide. AI: An advisory and technology company with an AI engineer for forecasting investment opportunities Asset Management: Investment management company investing in sustainable equities They focus on R&D of AI, ML … Data, Finance and sustainability. You will be based in the client's London office. There is also the option for Home Office but you will be required to travel to the office when needed so being located within a few hours of Central London would be hugely beneficial. The Job: End to end development of backend systems and services More ❯

team members. Responsibilities Working under the direction of the senior stakeholders. Identify and understand client needs, which will include being responsible for: Strong understanding of projects using Relativity Moving data into Relativity Running searches across Relativity Creating review batches and coding layouts in Relativity Preparing productions and exports from Relativity Supporting legal review teams with their review workflows (including … document review technologies Ideally 4-5+ years' eDiscovery experience (law firm or service provider, understanding full EDRM) Use of eDiscovery technology, specifically Relativity and Nuix, with experience in data processing, data ingestion, database setup, searching, production, threading, near de-duplication, clustering, and active learning Strong documentation and communication skills, including effective collaboration with case teams, eDiscovery team … projects to very strict deadlines About Brimstone Consulting: We specialise in finding highly qualified staff in E-Discovery and Digital Forensics, Payments, Fraud, Risk, Compliance/Corporate Governance, IT, Big Data and Data Analytics, InfoSec and Cyber Crime, Audit, Accountancy and Finance. Brimstone Consulting acts as an employment agency (permanent) and as an employment business (temporary) - a 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 ❯

design and deliver of business focused, technology solutions. We provide consulting and technology to help large enterprises change the way they work. Our area of work is mainly around big data and analytics, social business and digital transformation and cloud and other innovative ideas and technology. We consider ourselves as innovators and we help clients think differently about … with Asset and Wealth Management and Technology experience. Please only apply if you have financial services experience. Specific skills include: - understanding of market risk, sensitivity & scenario analysis, VAR, Greeks. Data modelling - understanding and experience of regulatory reporting (such as FRTB, BCBS239 and other similar regulation The individual needs to be proactive, assertive and be able deal with senior executives More ❯

Position Description: The Software Engineer applies technical resources to accelerate the timely, reliable, and secure delivery of open-source data, information, and insights. The Software Engineer requires application development support to maintain and enhance an existing social media data exploitation platform. The SW Engineer will work within an existing team environment. Work will include developing enhancements to an … PostgreSQL and MySQL. Demonstrated experience developing PL/SQL database scripts, including procedures, functions, exception handlers, and triggers. Demonstrated experience writing and tuning complex queries against structured and unstructured data sets. Demonstrated experience maintaining Jenkins Continuous Integration/Continuous Delivery (CI/CD) pipelines with automated testing and deployment. Demonstrated experience working with big data processing and More ❯

on team-level code base An understanding of frontend web technologies and how web browsers behave and perform. About Us For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on … training you need to succeed. We're 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations. Verisk Analytics is an equal opportunity employer. More ❯

operations teams. As a software development engineer on the team, you will: - Work in a fast-paced environment building products using Java, AWS (infrastructure, serverless, relational/NoSQL databases, Big Data/ML technologies etc.) along with a wide range of automated DevOps tools. - Build high scale and low latency services to enable successful delivery of billions of … and develop highly distributed components of our advertising system. - Work as full stack engineer to architect, design and build product from scratch that should delight advertisers and customers - Apply big data technologies and Work with our ml scientist and product managers to design experiments with machine learning/deep learning techniques - Brainstorm with Product management and partner teams … about new ideas, technical design; make data-driven decisions to inform product prioritization. - Establish the best processes and drive improvements in design, development and operations - Mentor and guide junior engineers on design, coding, troubleshooting and operational excellence BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability More ❯

to attract and engage customers, creating features and initiatives that generate buzz. We also focus on effective communication strategies with our customers, determining what products to promote and when. Data plays a crucial role in all our activities, and this role will lead the team ensuring our Growth and Marketing teams can leverage data to make informed decisions. … Our Analytics Engineering discipline operates at the intersection of data, engineering, and our core collectives-Money, Borrowing, Operations, Financial Crime, and beyond. The AE teams build downstream data models from backend services, aiming to make our Data Warehouse a competitive advantage. We seek a discipline capable of creating a reliable, scalable, and cost-effective Data Warehouse … that supports decision-making with high performance. Managers within Data have two main responsibilities: people management and technical product development. Your focus will be on supporting engineers' growth, guiding them through challenges, and celebrating successes. You will also lead and participate in technical initiatives, shaping the Data organization to focus on valuable work, ensuring quality and attention to More ❯

Social network you want to login/join with: Description What makes us Qlik? AGartner Magic Quadrant Leader for 15 years in a row, Qlik transforms complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio leverages pervasive data quality and advanced AI/ML capabilities that lead to better … decisions, excel in integration and governance solutions that work with diverse data sources, and our real-time analytics uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. Account Manager Role Join Qlik as a Global Client Executive, taking charge of enterprise accounts with a strategic focus. In this role, you will independently identify, acquire new … success, and alignment with Qlik's value proposition. Collaborative Sales: Work closely with partners and resellers to maximize revenue within assigned accounts. Market Insight: Leverage your knowledge of the Data and Business Intelligence ecosystem to navigate the dynamic landscape your customers operate across. Impact You’ll Make Account Development: Develop and execute strategic account plans. Customer Acquisition: Independently identify More ❯

The Role: The Sr. Product Manager is part of the Engagement Data Management and Financial Compliance Recording product management team and is responsible for leading the product strategy, product roadmap, and feature requirements. This role will focus on software technology which, at its core, integrates and collects data from digital and voice communication platforms making it available for … business insights, customer experience, and risk and compliance use cases. The solution incorporates AI technology, including speech to text, and large language models (LLM) to analyse this data both in real-time and near real-time. The target user community is across all industries and environments, with an emphasis on customer service operations as well as heavily regulated organisations. … software-as-a-service (SaaS) industry, with a focus on contact center or financial services software solutions Experience within banking, capital markets or other heavily regulated industries. Experience managing big data technology product roadmaps Experience with VoIP technology that is used in telephony and unified communication platforms. Experience with AI and the use of LLMs More ❯

then come join us! Job Description: The Software Engineer develops, maintains, and enhances complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and business management information systems) based upon documented requirements. Works individually or as part of a team. Reviews and tests software components for adherence to … new software or modify existing software to add new features Debug existing software and correct defects Integrate existing software into new or modified systems or operating environments Develop simple data queries for existing or proposed databases or data repositories Provide recommendations for improving documentation and software development process standards Develop or implement algorithms to meet or exceed system … test procedures for software components Write or review software and system documentation Develop software solutions by analyzing system performance standards, confer with users or system engineers; analyze systems flow, data usage and work processes; and investigate problem areas Serve as team lead at the level appropriate to the software development process being used on any particular project Modify existing More ❯

The Role: The Sr. Product Manager is part of the Engagement Data Management and Financial Compliance Recording product management team and is responsible for leading the product strategy, product roadmap, and feature requirements. This role will focus on software technology which, at its core, integrates and collects data from digital and voice communication platforms making it available for … business insights, customer experience, and risk and compliance use cases. The solution incorporates AI technology, including speech to text, and large language models (LLM) to analyse this data both in real-time and near real-time. The target user community is across all industries and environments, with an emphasis on customer service operations as well as heavily regulated organisations. … software-as-a-service (SaaS) industry, with a focus on contact center or financial services software solutions Experience within banking, capital markets or other heavily regulated industries. Experience managing big data technology product roadmaps Experience with VoIP technology that is used in telephony and unified communication platforms. Experience with AI and the use of LLMs More ❯