Company Description
Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
From prototype to real-world impact - be part of a global shift by doing work that matters.
Development is the largest discipline at Endava. Our developers design, build, and release software products in multiple programming languages, frameworks, and libraries. Always collaborating with cross-functional project teams, our developers are adaptable problem-solvers with a client-oriented mindset.
Responsibilities :
- Collaborate with business analysts, architects, developers, testers, data engineers, and client stakeholders to clarify requirements, processes, architecture, and priorities.
- Contribute to solutions supporting Banking and Capital Markets domains, including trade lifecycle, risk analytics, reporting, data processing, analytics platforms, and financial services workflows.
- Work with technical and non-technical stakeholders across Trading, Market Risk, Finance, Operations, Quantitative Analysis, and Technology areas.
- Develop backend services, APIs, automation components, data processing pipelines, and reporting solutions using Python and related technologies.
- Recommend and promote IT industry standards, tools, and practices, including clean code, design patterns, DevOps, CI/CD, testing automation, and cloud-ready engineering.
- Propose improvements and escalate risks or issues related to development activities.
- Participate in the review of work done by development team members.
- Participate in internal and external tech communities, events, and knowledge-sharing activities.
- Share experience and knowledge gained from projects, especially around Banking and Capital Markets delivery.
Qualifications
- 6+ years of experience in Python development.
- Experience working in Banking, Financial Services, or Capital Markets environments is highly desirable.
- Good understanding of Capital Markets concepts such as trade capture, trade processing, risk analytics, reporting, asset classes, pricing, or trading workflows.
- Strong understanding of common programming paradigms, including object-oriented programming, functional programming concepts, and asynchronous programming.
- Proficient in Python and related frameworks or libraries such as FastAPI, Flask, Django, Pandas, NumPy, SQLAlchemy, PySpark, or similar.
- Practical experience with relational and/or NoSQL database systems such as PostgreSQL, Oracle, SQL Server, MongoDB, Cassandra, or similar.
- Ability to design, build, and analyze complex SQL queries.
- Experience building REST APIs, backend services, data processing components, automation tools, or reporting solutions.
- Good understanding of version control systems such as Git or similar.
- Experience with messaging and event-driven systems such as Kafka, RabbitMQ, Azure Service Bus, AWS SQS/SNS, or similar.
- Experience with CI/CD, deployment tools, and container platforms such as Jenkins, GitLab CI/CD, Azure DevOps, Docker, Kubernetes, OpenShift, or similar.
- Experience with Agile methodologies such as Scrum or Kanban.
- Good problem-solving skills and analytical thinking.
- Excellent communication and teamwork abilities.
- Ability to collaborate effectively with technical and non-technical stakeholders.
- Advanced English level is mandatory.
Nice to have :
- Experience in Capital Markets technology consulting or financial services delivery.
- Exposure to Fixed Income, FX, Equities, Derivatives, Fund Transfer Pricing, Asset Liability Management, or Market Risk platforms.
- Experience working with Quants, Traders, Risk Managers, or Finance stakeholders, or data analytics teams.
- Experience with data engineering, analytics, dashboarding, or reporting tools.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Exposure to libraries or tools used in quantitative, risk, or financial analytics.
- Exposure to Gen-AI tools applied to software engineering, documentation, productivity, data analysis, or reporting automation.
Additional Information
Discover some of the global benefits that empower our people to become the best version of themselves:
- Finance: Competitive salary package, share plan, referral bonus;
- Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
- Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
- Work-Life Balance: Hybrid work and flexible working hours, employee a