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  1. All roles
  2. Silverflow
  3. Junior Data Engineer
Silverflow logo
Silverflow

Junior Data Engineer

NewJuniorthe NetherlandsFinTech
Apply directly at Silverflow

Our Take

Build and operate Silverflow's data platform, pipelines, and services for a global payments processor.

What you’ll do

  • Design, develop, and maintain ETL pipelines
  • Deploy and manage data infrastructure using Terraform/CloudFormation
  • Instrument data-quality and observability checks
  • Support AI tooling and workflow automation platforms

What they’re looking for

  • 1–3 years experience in software or data engineering
  • Proficiency in Python, TypeScript, or Go
  • Solid understanding of SQL and data processing concepts
  • Familiarity with AWS cloud infrastructure

What you get

  • Competitive salary with annual increases
  • Stock options to share in company success
  • Travel cost reimbursement
  • Strong mentorship and career growth opportunities

Skills & Focus Areas

  • Python
  • TypeScript
  • Go
  • ETL pipelines
  • Terraform
  • CloudFormation

As posted by Silverflow

Who is Silverflow?

At Silverflow, we’re redefining payments. As the world’s first cloud-native acquiring processor, we’re replacing decades-old infrastructure with a fast, scalable, global platform. Founded in 2019, we’re founder-led, venture-backed, and growing fast. With 80+ dynamic colleagues from 30 different cultures, we are on track to reach 120 people by 2027. Our platform empowers a diverse range of clients, from banks to ride sharing platforms, helping them streamline operations, enhance data insights, and deliver seamless, real-time payment experiences at scale.

What you'll do

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


Build & maintain the data platform:
  • 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.

Who you are

Must Have

  • 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.

Nice to Have

  • 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).

Why join us?

  • 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
Apply directly at Silverflow
Location
the Netherlands
Track
IC (Individual Contributor)
Seniority
Junior
Type
FULL_TIME
PostedAug 6
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Silverflow
silverflow.com
View all 2 Silverflow roles →

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