Data Engineer for FinTech Platform (Airflow, Redshift, dbt)

Bitrock is seeking a Data Engineer to evolve a fintech/wealth management data platform built on Redshift, Airflow, and dbt. You’ll balance fine-tuning existing components with modernizing legacy data pipelines, acting as a technical bridge between business requirements and scalable architecture.

You will design and maintain data infrastructure for ingestion and transformation, build analytical models, and support ML initiatives.

Design, build, and maintain data infrastructure for ingestion, orchestration, and transformation (Airflow, dbt, Redshift). Create scalable, high-performing analytical data models. Reconcile large volumes of raw data into meaningful aggregates. Support ML and analytics implementations with data artifacts for humans and AI tools. Collaborate with Data Analysts, Data Scientists, Software Engineers, Marketing, and Product Managers. 3+ years of hands-on experience in Data Engineering roles. Core Tech Stack: SQL, Python, Airflow, and dbt. Data Warehousing & Cloud: Redshift and AWS; familiarity with Terraform. Languages: Fluent Italian and English. Soft Skills: translate business requirements into data solutions; communicate with non-technical stakeholders.