Data Engineer — Fintech Analytics & Data Pipelines

BankingLab; Amsterdam; On-site; EUR 45,000 - 134,000; Full time

Job summary

BankingLab is seeking a data engineer to build pipelines, models, and data foundations that support product decisions, reporting, and operational insight. You will work across fintech data sources and standardize data flows to empower teams.

Join a team focused on building regulated financial data infrastructure, enabling scalable analytics for product decisions across banking, payments, cards, onboarding, and platform operations.

Qualifications

• Professional experience in data engineering, analytics engineering, or backend data-platform work.
• Strong SQL skills and experience building ETL or ELT pipelines.
• Ability to work across source systems, schemas, and data quality issues.
• Experience with fintech, banking, or other regulated data environments.

Responsibilities

• Build and maintain data pipelines for product analytics, reporting, and operational workflows.
• Model and transform data from banking, payments, and internal platform systems into reliable datasets.
• Work with engineering, product, and business teams to define trustworthy metrics and data flows.
• Improve data quality, observability, and documentation across the platform.

Skills

Strong SQL

ETL/ELT pipelines

Data modeling

Python

Go

Java

Orchestration tooling

Tools

Python

Go

Java

Orchestration tooling

Data warehouse analytics

Job description

BankingLab is seeking a data engineer to build pipelines, models, and data foundations that support product decisions, reporting, and operational insight. You will work across fintech data sources and standardize data flows to empower teams.

Join a team focused on building regulated financial data infrastructure, enabling scalable analytics for product decisions across banking, payments, cards, onboarding, and platform operations.