Senior Data Engineer – Capital Markets experience required – £130,000 Salary + Bonus
Hybrid
London, United Kingdom
Full Time
23-04-2025
Job Specifications
This company work across various energy and commodities markets across the world. We appreciate that not everyone wants to work within Oil and Gas trading, however, part of the role of the data team is to look at more sustainable options for trading all kinds of commodities products.
You’re going to be getting involved with a number of newly launched data projects, with your initial project being to work on this migration. You’ll face off with the business, understanding what they need, discussing solutions with the Data Science team, then building out the best solution possible, whether it be with an off the shelf product, or building it completely from scratch using primarily Python and SQL.
There’s a strong opportunity to take on leadership responsibilities, so if management is in your sights and ambitions, you’ll be able to achieve that here.
The team are using more advanced technology as time goes on and you’ll be responsible for implementing various cutting-edge technologies.
In terms of your technical experience you’ll need to have worked in a commercial data engineering role for at least 8 years, this is a senior position. Strong Python, and SQL experience will be required. Capital Markets experience is mandatory, any asset class is completely fine.
This is a global commodities firm with a strong history of performance and revenue. Your starting salary will be up to £120,000 plus a performance related bonus. Benefits include medical, dental and life insurance, wellness programs, pension, generous parental leave and various other perks.
Want to make sure data has an impact on the future of commodities trading? Get in touch.
No up-to-date CV required.
About the Company
We are Saragossa. A high-growth technology recruitment firm, specialising in helping investment businesses extend their technology capability. Named after an unusual but highly effective chess move, we help people achieve their objectives, whether building a world-class team, delivering exceptional projects, or accelerating professional ambitions. You can find our privacy policy here - https://saragossa.co.uk/privacy-policy Know more
Related Jobs
- Company Name
- Meta
- Job Title
- AI/HPC Systems Production Engineer
- Job Description
- Meta's AI Training and Inference Infrastructure is growing exponentially to support ever increasing uses cases of AI. We need to build and evolve our network infrastructure that connects myriads of training accelerators like GPUs together. In addition, we need to ensure that the network is running smoothly and meets stringent performance, availability and reliability requirements of RDMA workloads that expects a loss-less fabric interconnect. To improve performance of these systems we constantly look for opportunities across the stack: network fabric and host networking, communication libraries and scheduling infrastructure. AI/HPC Systems Production Engineer Responsibilities: Responsible for the overall reliability of the communication system, including monitoring, troubleshooting and proactive identification of production issues. Develop, extend and maintain CI/CD, testing pipelines for host components of training stack infrastructure, e.g. collective communication libraries (NCCL, RCCL), RDMA host stack dependencies. Active member of a multi-disciplinary team to develop solutions for large scale training systems. Work with performance engineers to ensure safe and robust rollout of new features. Minimum Qualifications: BS/MS/PhD in relevant fields (EE, CS), with 4+ years work experience. Python, C/C++ coding skills Knowledge of Linux and foundational networking principles Preferred Qualifications: Experience working with up-to-date AI training workload packaging, CI/CD and distribution processes, containerization principles. Understanding of RDMA network stack principles and pain points on InfiniBand and RoCE Networks. Experience in development of systems and applications utilizing RDMA technologies. Experience with using communication libraries, such as MPI, NVIDIA Collective Communication Library (NCCL). Experience with GPU accelerator development frameworks, for example CUDA, OpenCL Experience in developing and troubleshooting system level software About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
London, United Kingdom
On site
Full Time
06-05-2025
- Company Name
- Meta
- Job Title
- AI Research Scientist - Monetization, GenAI
- Job Description
- MGenAI is focused on making significant progress in AI-powered content generation for ads applications. In the past two years, generative AI has seen some of the most significant breakthroughs ever achieved, particularly in large language models and generative image models. Meta Monetization GenAI’s mission is to lead the charge in applied generative AI technology and build products that will help businesses become more productive and efficient. The London team is particularly focused on image and video ad creative generation.Individuals in this role are expected to be recognized experts in AI and machine learning, particularly in areas such as generative AI and computer vision. The ideal candidate will have a keen interest in producing new applied science to make computers more intelligent, and more importantly convert that into production at a large scale. AI Research Scientist - Monetization, GenAI Responsibilities: Lead applied research to advance the science and technology of image/video/text generation for applications in ad creative generation and editing Work towards long-term ambitious research goals, while identifying intermediate milestones Lead efforts in productionization of GenAI technologies in ads domain applications Influence progress of relevant research communities by producing publications Minimum Qualifications: Has a Ph.D. or is in the process of obtaining a PhD degree in computer vision or machine learning At least one publication as the first author, and at least 3 as co-authors on the following six venues: NeurIPS, CVPR, ICML, ICLR, ICCV, and ECCV At least 3 years of experience in generative AI research Experience in leading a team of applied research scientists and engineers in solving real world ML problems in industry, in a role with primary emphasis on AI research. Experience in developing and debugging in Python Preferred Qualifications: Experience in developing diffusion models for image/video/text/multimodal generation with publications on this topic on NeurIPS, CVPR, ICML, ICLR, ICCV, or ECCV Experience in developing real-world applications using multimodal Large language Models About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
London, United Kingdom
On site
Full Time
06-05-2025
- Company Name
- Axle Energy
- Job Title
- Data Scientist
- Job Description
- We’re hiring data scientists who get into the weeds, ship delightful software, and want to step into the arena in the fight against climate change. We’re building the software infrastructure for the decarbonised energy system, backed by some of the best investors in the world (TechCrunch). We make the technology to move energy usage to times when electricity is cheap and green. Our software controls vehicle charging, heating systems, and home batteries. We use machine learning to figure out what energy people will need, and when they'll need it. We control tens of thousands of energy assets, and we’re growing quickly. Requirements Read more about what we’re building here. You Can Expect insane amounts of ownership hard technical challenges that what you build is commercially and environmentally valuable In Return, We Ask For the courage to build new things fast a commitment to real world impact over technical perfection a desire to help build and lead an exceptional and tight knit team deep-seated motivation to combat climate change And It’d Be Nice If You Could Bring knowledge of the electricity system, specifically power trading comfort speaking to clients (we’re a small team and we all wear many hats) familiarity with time-series data You Shouldn't Apply If uncertainty scares you you aren't prepared to try, fail, and try again you're looking for a low intensity, low impact role Interview process Initial interview Take-home exercise Final interview (in-person) Offer, references, and welcome to the team! Tech stack We do everything in Python, because it allows data scientists and engineers to collaborate closely and move quickly. Our data scientists write lots of production code. We Streamlit. We try a bunch of things in Figma before we build them in code, because it's a fast and cheap way to get feedback. Everything we build lives in Docker, for minimal cross-platform faff and maximal reproducibility. We deploy on GCP Benefits We love the idea of fully remote work but it doesn't… work. For very early stage companies, people learn faster, get on better, and accomplish more when they're spending a decent chunk of time together. We ask that you spend 2-3 days a week in our London office. We are extremely keen to build a diverse company, and we’re particularly eager to hear from candidates who don't fit the traditional engineering stereotypes. If you’re motivated by our mission, please do reach out, even if you feel you might not ‘check all the boxes’.
London, United Kingdom
Hybrid
Full Time
05-05-2025
- Company Name
- Meta
- Job Title
- Research Engineer, ML, AI & Computer Vision
- Job Description
- Meta Reality Labs Research (RL Research) brings together a world-class R&D team of researchers, developers, and engineers with the shared goal of developing AI and AR/VR technology across the spectrum. The Surreal Spatial AI group is seeking high-performing research scientists to build machine perception technology allowing AI agents and systems to perceive and understand the 3D world around them.The aim of this role is to develop, advance and integrate ML and computer vision models and SW systems for advanced, full-stack, real-time, Machine Perception and AI prototypes for egocentric devices such as Meta's Project Aria; Including 3D environment and object reconstruction, semantic understanding, estimation and understanding of user motion, actions and activities. Research Engineer, ML, AI & Computer Vision Responsibilities: Implement and prototype advanced research systems and technologies spanning device and cloud, in the domain of AI and machine perception Collaborate with team members throughout the lifetime of a project, from early research through technology and experience prototyping. Play a critical role in the definition and execution of system research roadmaps in partnership and cross functional organizations in computer vision, machine learning, graphics, sensors, optics and silicon. Collaborate with cross-functional engineering and research teams from Reality Labs and FAIR in computer vision, machine learning, and graphics Minimum Qualifications: MSc or PhD degree in Computer Science, Computer Vision, Robotics or a related technical field. Experience developing and designing Computer Vision and Perception for Robotics or smart device technologies and systems. 5+ years of experience with a mastery of modern features in C++. Experience working in a Unix environment. Interpersonal experience: cross-group and cross-functional collaboration Preferred Qualifications: Industry experience working on projects such as: real-time SLAM and 3D reconstruction, scene understanding, robotics and agentic AI systems including autonomous driving Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub.) Broad experience with distributed systems, cloud services, or on-device algorithm development 3+ years of industry or postdoctoral experience as full-stack software engineer. About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
London, United Kingdom
On site
Full Time
06-05-2025