Senior Software Engineer, Data

About the Role

As a member of the Data team, you will build the services, infrastructure and data platforms that power our business. Our team is responsible for ingesting, processing, storing and distributing large volumes of data reliably and efficiently, enabling teams across the business to make data-driven decisions and build innovative products. This role sits at the intersection of backend software engineering and data engineering. You will develop scalable backend services, design and maintain data pipelines and build the underlying data infrastructure that enables reliable, cost-effective, and high-performance data processing.

You'll work closely with other engineering teams, data consumers and infrastructure specialists to build robust solutions that balance technical excellence with delivering business value. While the role involves technical collaboration across the organisation, it is primarily focused on engineering rather than stakeholder management.

This will be a full-time role, owning the following responsibilities:

• Design, develop and maintain scalable backend services and APIs that support data ingestion, processing and distribution.
• Build and maintain reliable data ingestion pipelines for structured and unstructured data from a wide variety of internal and external sources.
• Develop reusable frameworks and tooling that simplify onboarding new data sources and improve developer productivity.
• Design and optimise scalable data platforms including databases, data lakes, metadata catalogues and storage solutions.
• Continuously improve the reliability, scalability, observability and cost-efficiency of our data infrastructure.
• Integrate data across multiple systems while reducing duplication and ensuring high data quality.
• Develop and maintain orchestration workflows and automated data processing pipelines.
• Build internal libraries and services that enable other engineering teams to access and consume data efficiently.
• Monitor, troubleshoot and optimise production systems and data pipelines.
• Contribute to architecture discussions and technical decisions across the data platform.
• Collaborate closely with software engineers, data engineers, infrastructure engineers and data consumers to deliver high-impact solutions.
• Continuously identify opportunities to simplify systems, improve automation and reduce operational overhead.

About You

This person will be an experienced Data Engineer with hands-on backend development experience. We hope this person will have ambitions to develop their technical knowledge within Commodity Trading, by developing and maintaining in-house systems using the latest technology stack. We are looking for someone who enjoys solving complex technical problems, takes ownership of their work, and can make pragmatic engineering decisions that maximise impact.

As a result, the following experiences and skills are essential for application:

• Strong software engineering fundamentals with experience building production backend systems in the financial services industry.
• Professional experience developing applications and services using Python in the financial services industry.
• Experience designing and maintaining RESTful APIs and backend services.
• Experience building and maintaining data pipelines or large-scale data processing systems.
• Strong SQL skills and experience working with relational databases.
• Experience working with cloud platforms such as AWS.
• Experience working with containerised applications and modern software delivery practices.
• Familiarity with messaging and asynchronous processing patterns.
• Experience with infrastructure automation and CI/CD pipelines.
• Strong understanding of software design principles, testing and maintainability.
• Ability to work independently while collaborating effectively within a team.
• Strong ownership mentality with the ability to prioritise work based on business impact.

In addition, the following is not required, but highly desirable for this role:

• Experience working in a Commodities Trading House or Hedge Fund.
• Experience building services using FastAPI or similar modern Python frameworks.
• Experience with streaming platforms such as Kafka.
• Experience with Infrastructure as Code and cloud-native architectures.
• Familiarity with distributed systems and high-throughput data processing.

What we offer

• Competitive compensation and participation in Engelhart's discretionary bonus plan.
• 28 days of annual holiday entitlement plus Berlin public holidays.
• 3,000 per year contribution to a private pension scheme on your behalf.
• 20 monthly subsidy towards BVG tickets.
• 25 monthly subsidy towards ClassPass membership.
• A subsidy for German language courses to help you immerse yourself in the local culture.
• A sociable working environment with an open, international culture.