Junior Software Engineer

Who you are

• We're looking for someone with 1–3 years of experience, ideally from a software-heavy environment, who wants to own systems end-to-end with support from a senior team
• 1–3 years of experience in a software engineering, data engineering, or similarly software-heavy role
• Proficiency in at least one programming language, ideally Python, TypeScript and/or Go (Rust/ Java / Scala also welcome)
• Solid software fundamentals: testing, version control (git), debugging, and clean, maintainable code
• Working knowledge of SQL and a good grasp of data processing concepts (data quality, deep-diving to find root causes)
• Familiarity with cloud infrastructure, ideally AWS
• Exposure to infrastructure as code (Terraform, CloudFormation) and CI/CD pipelines
• Understanding of APIs and system communication
• Strong communication skills, able to work with non-technical stakeholders and explain technical topics clearly
• Able to operate in a fast-paced, self-driven environment
• Experience with a data processing framework (Spark/PySpark, Pandas, or similar)
• Experience with columnar/analytical databases or data formats (Clickhouse, Iceberg/Parquet) or BI tooling (QuickSight/Superset/Looker)
• Experience with non-relational data stores (MongoDB, or GraphQL etc)
• Interest or experience in AI/ML tooling, LLM applications, or workflow automation
• Prior work in regulated industry (payments, financial services)

What the job involves

• The Software Engineer (Data) builds and operates Silverflow's data platform: the pipelines, datasets, and services that turn microservice event data into the reporting, analytics, and AI products the whole company relies on
• In a regulated payments environment, this data underpins customer invoicing, transaction reconciliation, and fraud research, so accuracy, timeliness, and reliability matter as much as the features themselves
• This is a software-first role. You'll spend more time writing, testing, deploying, and maintaining code and infrastructure than doing data science
• Design, develop and maintain ETL pipelines
• Write well-tested, readable, production-ready code and participate in code reviews
• Deploy and maintain data infrastructure as code (Terraform, CloudFormation)
• Instrument data-quality and observability checks
• Support our AI tooling and automation platform - data agents, self-serve query access, and workflow automation
• Support engineering teams in selecting and implementing suitable technologies
• Support product and business teams with internal tooling and datasets

Benefits

• Chance to work for an established start-up
• Training and development budgets & mentorship opportunities
• Rewarding career development with autonomy
• Highly inclusive work environment (we have 20+ nationalities)
• Fun company culture