Software Engineer

ABOUT US Engelhart was founded in 2013 by BTG Pactual Group as a commodities trading company. Our business model is “asset light” and highly diversified – giving us the ability to adapt effectively and nimbly to changing market conditions. We have assembled successful multidisciplinary teams, leveraging advanced fundamental analysis with deep quantitative and weather research capabilities.  Our activities are underpinned by strong risk management practices and by powerful technology and operational excellence. We have exceptional teams with diverse global backgrounds and decades of experience, and are driven by a highly collaborative culture, across products and competencies. In 2024, Engelhart acquired Trailstone, a global energy trading and technology company. The acquisition provides us with new expertise, analytics and proprietary technology which is being used to provide risk management and optimisation services to help maximise the value of our clients’ renewable power. The acquisition also expanded Engelhart’s capabilities into physical natural gas across North America, a critical fuel to support the energy transition. Our talented and experienced individuals work together according to its four company values: Performance, Agility, Collaboration, Entrepreneurship. ABOUT THE ROLE  This is an exciting opportunity for a Python Software Engineer with approximately five years of experience to deepen their current expertise in commodities trading, while becoming a key member of our Risk, Finance & Compliance technology function within the Engelhart Technology team.  Operating with a high degree of autonomy and offering direct exposure to stakeholders & business users, this role will give someone the opportunity to take end-to-end ownership of initiatives, from requirements gathering and solution design through to production deployment and ongoing support.   Working in close collaboration with a small, dynamic team, this role provides a unique opportunity to influence Engelhart's technology landscape and deliver initiatives with tangible business impact. This team is delivery-focused, fostering strong collaboration, open technical and business discussions, as well as a culture of continuous improvement. The ultimate objective is to enable informed decision-making across our business through reliable, scalable and well-designed technology solutions.  This Software Engineer with have the following responsibilities;  * Designing, developing, maintaining and enhancing in-house systems, as well as integrations with third-party platforms.  * Working closely with Engelhart's Risk & Finance teams to gain a strong understanding of business requirements, translating them into well-defined technical solutions.  * Providing technical support to Risk, Finance and Front Office users - particularly in the use of shared internal Python libraries, cloud infrastructure and access to enterprise data.  * Contributing to the ongoing evolution of Engelhart's technology platform, including architectural design, identification of improvement opportunities and proposal of scalable solutions.  * Designing and implementing new data visualisations for internal dashboards and reporting tools.  * Performing data cleansing, enrichments and transformation using efficient and scalable tools and techniques.  * Developing and maintaining data integration services and query interfaces for internal consumption.  * Participating in, and contributing to, technology projects that support key business initiatives.    ABOUT YOU  This individual will be a strong Python developer with current experience in a commodities trading environment. In addition to commodities experience, which is an essential criteria to be considered for this role, we believe the following technical skills & experiences will best set someone up for success at Engelhart; Technical Skills: * Strong proficiency in Python, including common analytical and visualisation libraries (e.g. Pandas, NumPy, Plotly).  * Experience building APIs using Python frameworks, preferably FastAPI.  * Familiarity with AWS services such as Lambda, Step Functions, Cognito, ECS/Fargate, DynamoDB, CloudWatch and CDK.  * Familiarity with containerisation and orchestration technologies (Docker, Kubernetes).  * Understanding of parallel and distributed data processing concepts.  Soft Skills: * Strong analytical thinking, logical reasoning and problem-solving abilities.  * A collaborative team player with strong interpersonal skills and experience working with distributed or remote teams.  * Willingness to share knowledge, mentor others and continuously learn from peers.  * Self-motivated and proactive, with the ability to work independently and manage priorities with minimal supervision.  Additional Experiences that are not necessary, but highly desirable: * Experience designing or building event-driven architectures.  * Experience with applying AI tools, large language models and agent-based workflows to improve business processes, developer productivity or data analysis.  * Familiarity with Model Context Protocol servers and related approaches for connecting AI agents securely to internal systems, APIs, databases and business tools.    What we offer  * Competitive compensation and participation in Engelhart’s discretionary bonus plan.  * 25 days of annual holiday entitlement, excluding UK public holidays. * Robust benefits package such as medical, dental, life insurance, generous pension contribution, and supplemental benefits partially subsidised by the Company.   * Eligibility to receive external and internal training in accordance with our Training & Development Policy. We believe in inclusivity and are therefore dedicated to ensuring all employees – across gender identity, race, ethnicity, sexual orientation, religion, life experience, background and more – feel welcome and included in the company. We promote diversity because we believe it is essential to our ability to think holistically.

Some key info for you:  🌱 We were founded in 2007 💰 We have provided over $3bn of funding to small businesses so far 🚀 We have been named in CNBC & Statista Top 150 UK Fintechs for 2025 🌍 We're a global team, with a dynamic presence in 6 key locations around the world 🧠 We're a thriving community of over 290 innovative minds 👩🏾 🤝 👨🏼 We're a vibrant melting pot, celebrating over 27 nationalities in our team 🏢 Our team brings experience from over 740 previous companies, from startups to global giants 🎯 We have just been named as one of FinTech’s Finest 50 by Welcome to the Jungle 💪 We’re proud to be an accredited Real Living Wage employer, ensuring everyone is paid fairly for the great work they do   Our Product & Engineering Team: Liberis is building the embedded finance platform that lets partners around the world offer innovative funding products to their small business customers. We're a growth-stage fintech with teams in London, Nottingham, Atlanta, Stockholm, Munich and Mumbai, and we’re building a global Product, Data & Engineering team that thrives on autonomy, ownership, and is focused on impact! Our teams solve real-world problems for small businesses, shaping products that unlock opportunity at scale. Engineering is going through an AI-first transformation, rethinking how teams are structured and how they ship. It's changing what a small team can do! We empower our teams to make decisions, move fast, and take full responsibility for the solutions they deliver. You’ll join a team where curiosity is encouraged and collaboration across Product, Data, Delivery and Engineering is the norm.   The role: At Liberis, we’re building a global engineering team that thrives on autonomy, ownership, and  focused on impact. Our engineers don’t just write code — they solve real-world problems for small businesses, shaping products that unlock opportunity at scale.  We're hiring across a number of teams in our Engineering org, so we'd love to have a conversation about where you could make the biggest impact! You'll start with an informal chat with Chess (our Internal Recruiter), who will give you more insight into Liberis and what you're looking for next. From there, we'll talk you through the teams we're hiring for and look at which roles could be the best fit. Whether you're passionate about building customer-facing products, scaling platforms, working with data, or exploring how AI can transform the way we build software, we're looking for engineers who enjoy solving complex problems and taking ownership of what they deliver!   The interview process: * Screening call with Chess (Internal Recruiter) (30 mins) * Video interview with the Hiring Manager (45 mins) * In person code pairing interview with a member of Engineering team (1 hour) * Video interview with the wider Liberis team (1 hour)   What We Think You’ll Need * Proven success writing code in two or more programming languages. * A willingness to learn our tech stack - mostly C# .net, Node and React. * Proven experience developing APIs and services * An understanding of working with Agile methods, such as Extreme Programming, Kanban, or Scrum. * Resilience in early-stage business situations, where requirements are evolving and experimentation is required. * Bonus points if you have experience of cloud technologies (we are moving to GCP); experience using highly collaborative methods such as ensemble, mob, or pair programming; experience writing financial software; or experience with Test Driven Development.    N.B - there is an ‘on-call’ element to this role, which Chess will outline at the screening stage   Next steps If this opportunity feels like the right fit for your next career move, we’d love to hear from you! Even if you don’t meet every requirement, don’t hesitate to apply or reach out to Chess (Internal Recruiter) on chess.crossley@liberis.com   Our hybrid approach Working together in person helps us move faster, collaborate better, and build a great Liberis culture. Our hybrid working policy requires team members to be in the office at least 3 days a week, but ideally 4 days. At Liberis, we embrace flexibility as a core part of our culture, while also valuing the importance of the time our teams spend together in the office   #LI-FC1