926 to 950 of 965 Permanent Data Engineering Jobs

quantitative researchers, and traders. Your team will work closely to solve challenging technological problems and contribute to our full tech stack, including software design, data engineering, distributed computing, and quantitative modeling. You will be surrounded by cutting edge technology, mentored by industry-leading engineers, offered training and continuing … studies, simulate trading strategies, and develop algorithms to compete in financial markets.Design trading strategy simulation software optimized for distributed computationDevelop software for large scale data acquisition, storage, accessibility, and visualizationCreate user interfaces for data exploration and post trade analysisAccelerate the research lifecycle from strategy prototype to production deploymentEvaluate ...

exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quoBuild the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy liftingWe'd love for you to become a key part of our Python … Infrastructure team; a collaborative group that's always pushing the boundaries of what's possible.This role sits at the intersection of analytics engineering and Python-based data engineering. You’ll work on transforming and modelling data using SQL and dbt, while also leveraging Python to build data ...

professionals across around 60 offices in over 20 countries, we combine deep industry knowledge with advanced capabilities in AI, cloud, cybersecurity, and data engineering. Our regional teams, supported by strategic delivery centers, provide scalable, cost-efficient solutions tailored to local markets. Through our award-winning Synechron Labs accelerators ...

professionals across around 60 offices in over 20 countries, we combine deep industry knowledge with advanced capabilities in AI, cloud, cybersecurity, and data engineering. Our regional teams, supported by strategic delivery centers, provide scalable, cost-efficient solutions tailored to local markets. Through our award-winning Synechron Labs accelerators ...

transformation initiatives across their portfolio. 📍 Location: Remote-First (1 day a month on-site in London) Positioned at the intersection of public sector policy, data maturity, and digital innovation, this role empowers you to orchestrate high-impact technology programmes that directly improve lives and transform public services across … UK. Rather than building tech for tech’s sake, our client’s multidisciplinary teams focus on building scalable infrastructure, national data frameworks, and modern digital capabilities for public and social sector ecosystems. About the Organisation Our client designs, funds, and scales innovative solutions to systemic social issues. Operating with ...

portfolio of projects, ranging from the development of bespoke forensic tools tailored to highly specific investigative needs, to the design and implementation of scalable data visualisation platforms that enhance analytical capabilities. You will collaborate closely with law enforcement agencies, intelligence teams, and external partners to ensure that cutting-edge … technology is leveraged effectively in tackling financial crime, cyber threats, and fraud.This role offers an exciting opportunity to work at the forefront of data engineering within a mission-driven environment, where your expertise will help shape the future of digital investigations and forensic analysis.Person specificationThe CODE Tech Portfolio ...

portfolio of projects, ranging from the development of bespoke forensic tools tailored to highly specific investigative needs, to the design and implementation of scalable data visualisation platforms that enhance analytical capabilities. You will collaborate closely with law enforcement agencies, intelligence teams, and external partners to ensure that cutting-edge … technology is leveraged effectively in tackling financial crime, cyber threats, and fraud.This role offers an exciting opportunity to work at the forefront of data engineering within a mission-driven environment, where your expertise will help shape the future of digital investigations and forensic analysis.Person specificationThe CODE Tech Portfolio ...

applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring … uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this ...

applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring … uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this ...

technology roadmap of a fast-growing financial services business.We're looking for a Lead Python Developer to build and lead the next generation of data platforms, automation and business-critical applications. This is a genuine opportunity to take ownership, influence technical direction and work directly with senior leadership … business where your impact will be seen immediately.What You'll Be DoingLead Python application and data platform development.Build scalable solutions using Python, PostgreSQL, Azure Data Factory and Power BI.Mentor developers and champion engineering best practices.Work closely with the business to deliver innovative, AI-driven solutions using Claude ...

variety of complex environments. Our work covers a broad range of topics including architecture development, cyber security, programme and project management through to data engineering/analytics and AI. We have a long track record of delivery and are trusted to work on some of the UK Government … Responsibilities Collaborate with clients to develop strategies for future ICT service delivery, aligning with Government strategies. Define end-to-end architectures, including Business, Applications, Data, and Infrastructure. Create comprehensive User and Service Requirements Documentation. Deliver key Concept and Assessment Phase products. Support large ICT procurements by developing procurement documentation ...

values - ownership, impact, humility, and heart - in deed, not just wordThe RoleWe are looking for a Senior Engineer to join our growing engineering team, and build out our backend third party integration systems as we scale. For us, this isn’t just about technical performance, but also supporting … third party payment integrationsWork on one of the pillar revenue centers of the organizationTake ownership of backend system architecture and implementationBuild performant and resilient data flows; keeping security in mind during every stepWork closely with product team to regularly ship working featuresWork in an iterative fashionEvaluate and deliver timeline ...

/BigQueryThis is an opportunity for you to join a growing ecommerce business who are looking for an Analytics Engineer to build and maintain data pipelines and create new dashboards and reports across the business. You’ll be using their newly adopted GCP stack, BigQuery, Looker etc. and work … closely with the wider data engineering team. We’re interested in hearing from people who have experience with some of the following:LookerBigQueryGCPPlease apply to be considered. London/Hybrid525- 575 per day (Outside IR35)Analytics Engineer/GCP/LookML/BigQuery ...

join there team in Norwich. This isn't your standard, repetitive coding job. You will be working on a unique mix of backend data systems, cutting-edge AI integrations, API development, and frontend web optimization. This position heavily leans toward backend data engineering, system integration, and automation ...

level proficiency in core modeling fundamentals is required, including scripting languages (e.g., MATLAB, R), construction of ordinary differential equation (ODE) models, parameter estimation, and data visualization.Industry Modeling Skills: Expert level proficiency in pharmacokinetics and pharmacodynamics (PK/PD), quantitative systems pharmacology (QSP), and/or mechanistic physiologically based … your request and your contact information. Please include the job requisition number in your message.Salary Range$152,600.00 - $283,400.00Skills DesiredAlgorithms, Clinical Trials, Data Engineering, Innovation, Mentorship, Simulation Software, Waterfall ModelSummaryLocation: Cambridge (USA)Type: Full time ...

have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. This specialized machine learning engineering group is responsible for the decisioning technology that guides customers through their entire credit journey. Our team standardizes and streamlines how complex machine learning models … built, deployed, and monitored at scale, drastically reducing friction for our data science partners. Utilizing a modern technology stack focused heavily on Python and Kubernetes, you will create high-impact infrastructure that supports millions of customers in real time from their initial application throughout their entire lifecycle. What ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training ...

innovations and best practices in machine learning engineering. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training ...

innovations and best practices in machine learning engineering. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training ...

capabilities that exemplify those practices. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training ...

platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft … business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access ...

Cloud Data EngineerHybrid130,000-160,000 + benefits and bonusQuant Capital is urgently looking for a Cloud Data Engineer to join our high profile client.My client is a prestigious quantitative trading firm renowned for combining cutting-edge technology with exceptional talent, my client operates globally in various markets. … Infrastructure Services team. In this role, you will collaborate with various teams across the firm to empower engineers in exploring firmwide solutions for quantitative engineering and research.You will play a vital role in establishing and building an infrastructure-as-code (IAC) repository while maintaining responsive communication with teammates. Collaboration ...