- 5+ years as a Data Engineer or Backend Developer.
- Proficient in Python; advanced skills are a plus.
- Experience designing scalable data platforms, preferably in SaaS.
- Expertise in building, optimizing, and maintaining large-scale production systems.
- Hands-on with ETL/ELT pipelines, focusing on monitoring, supportability, and resource efficiency.
- Strong knowledge of orchestration tools (e.g., Apache Airflow, Dagster).
- Clear communication of technical processes to non-technical stakeholders.
- Proven ability to design scalable, cloud-based systems in SaaS environments.
Top Skills
What We Do
Datarails has created a solution that tackles one of the biggest challenges in financial departments: the overflowing amount of data that, up until now, was managed by tons of Excel sheets. All those financial reports, forecasts, expenses, analytics? Datarails takes all this data and integrates it into a one, simple, smart report.
Datarails consolidates all cross-organizational data and enables finance professionals to follow it, manage it, and derive insights from analysis. Instead of spending time on manual consolidation, Datarails automates the consolidation process and the creation of financial reports. It’s cloud-based, so nothing gets lost, it’s brilliant, so almost every feature can be added.
Why Work With Us
We're on a mission to transform finance. Datarails is committed to a positive, diverse, and inclusive culture by hiring for potential, focused on the inclusion of people who have different ways of thinking, different viewpoints, different backgrounds, and different skill sets. We value a transparent and open culture that positively impacts our team
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