Junior Data Engineer

The Data Engineer 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. 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.

Key Responsibilities

• 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.

• 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).

• A fun and people-first culture: Be part of a diverse team representing 30+ nationalities. Enjoy a daily team lunch, regular padel tournaments, and memorable annual events like our Christmas Party, company birthday celebrations, and off-site trip. We believe great work happens when people also have fun together.
• Learn from the best: Work alongside highly experienced colleagues with deep knowledge across disciplines. There’s a lot of expertise in-house and endless prospects to learn, grow, and challenge yourself.
• Room to shape your career: With strong growth ambitions, Silverflow offers plenty of opportunities to develop your career and grow alongside the company.
• Strong mentorship & collaboration: We are a flat organization. You’ll work closely with the Head of People & Culture, and the leadership team and experienced mentors, receiving hands-on guidance from people who genuinely care about your growth and development.
• Fast-paced, friendly, and collaborative environment: Join a team that values new ideas and initiative, and doing things the right way, while moving fast and supporting each other along the way.
• Great benefits from day one
  - Travel cost reimbursement
  - A competitive salary with annual increases
  - Stock options: share in the success you help create