Data Engineer
Summary
Data engineer at BankingLab, a fintech core-banking/payments platform, building and maintaining data pipelines, models, and reliable datasets from banking, payments, and internal platform systems to support product analytics, reporting, and operational insight. Core stack: SQL and ETL/ELT, with Python/Go/Java and orchestration tooling as pluses.
BankingLab is looking for a data engineer to build the pipelines, models, and data foundations that support product decisions, reporting, and operational insight.
Salary 4000-12000 EUR/month gross
Type Full-time
Posted 2026-03-15
Why this role at BankingLab
Join a business with visible product momentum.
This role sits inside a team building and operating financial infrastructure used acrossbanking, payments, cards, onboarding, and platform operations. You are joining a companywhere delivery quality, regulated execution, and product ambition all matter at the sametime.
processed across BankingLab in 2025 EUR 67B+
fintechs and banks using BankingLab Core 13+
Core Payments Digital Channels Onboarding Compliance Card processing Loans Deposits
Role scope
What you will own
- 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.
What we expect
- 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.
Useful additional experience
- Experience with fintech, banking, or other regulated data environments.
- Experience with Python, Go, Java, orchestration tooling, or warehouse-first analytics stacks.