Data Platform Engineer - Global Health Impact & Travel

Quantitative Engineering Design; Warszawa; Ibrido; PLN 240.000 - 360.000; Tempo pieno

Vantaggi offerti da questo lavoro

Unusual, socially conscious projects

Little bureaucracy

Travel to exotic places

Descrizione del lavoro

Quantitative Engineering Design is seeking a mid/senior Data Platform Engineer (backend) to join our Warsaw team. You will design and maintain data pipelines, structure data across raw, cleaned, and curated layers, and choose optimal batch or streaming approaches based on latency and reliability.

You should have a strong software engineering background, experience with Python, DBT, Dagster, and containerization, and be comfortable collaborating in a multicultural, mission-driven environment.

Competenze

• Experience designing and maintaining data pipelines using ETL/ELT approaches.
• Reasoning about trade-offs in data pipelines and architectures.
• Understanding data pipeline reliability concepts (idempotency, backfills, late data).
• Ability to structure data systems into raw/cleaned/curated layers and reason about purposes.
• Experience choosing batch vs streaming based on latency and operational complexity.
• Strong software engineering background with tests and readable code.

Mansioni

• Design and maintain data pipelines for analytics and decision support.
• Build robust data architectures and clean data flow across layers.
• Collaborate in design sessions and code reviews with the team.

Conoscenze

ETL/ELT design

Data pipelines

Data reliability

Data architecture layers

Batch/streaming decisions

Software engineering basics

English proficiency

Strumenti

Python

Django

DBT

Dagster

Luigi

ClickHouse

Docker

Kubernetes

Terraform

Nix

Descrizione del lavoro

Quantitative Engineering Design is seeking a mid/senior Data Platform Engineer (backend) to join our Warsaw team. You will design and maintain data pipelines, structure data across raw, cleaned, and curated layers, and choose optimal batch or streaming approaches based on latency and reliability.

You should have a strong software engineering background, experience with Python, DBT, Dagster, and containerization, and be comfortable collaborating in a multicultural, mission-driven environment.