Senior Data Platform Engineer

Description

The Senior Data Platform Engineer will build and maintain data infrastructure for public-health and food-security initiatives, including national-scale HIV, malaria, TB, crop, and soil data work.

Responsibilities

• Design and maintain data pipelines using ETL and/or ELT approaches, selecting patterns based on trade-offs.
• Build reliable pipelines with idempotency, backfills, and handling for late or corrected data.
• Structure data systems into clear raw, cleaned, and curated layers with defined purposes and guarantees.
• Choose batch, micro-batch, or streaming approaches based on latency, correctness, and operational complexity.
• Contribute robust software design, readable code, tests, version control, and logical software architectures.
• Participate in regular design sessions, code reviews, and collaborative team work.
• Work across a broad range of problems and technologies.

Requirements

• Experience designing and maintaining ETL and/or ELT data pipelines.
• Understanding of data-pipeline reliability, including idempotency, backfills, and late or corrected data.
• Ability to design layered data systems and select batch, micro-batch, or streaming architectures.
• Strong software-engineering background, including version control, readable code, testing, robust design, and basic data structures and algorithms.
• Development experience on UNIX-based or OSX-Darwin platforms.
• Working English proficiency at C1 or higher, including speaking, reading, and typing at least 45 words per minute.
• Ability to communicate clearly verbally and in writing.
• Willingness to collaborate in design sessions and code reviews and work with people from other cultures.
• Full-time commitment in Warsaw, Poland, with hybrid remote and in-person work and at least 2–3 office days per week.

Preferred Qualifications

• Understanding of analytical data modeling and transforming raw data into analytics-ready datasets with clear downstream semantics.
• Experience with Python, Django, DBT, Dagster, Luigi, or Clickhouse.
• Experience with Docker, Terraform, Kubernetes, or Nix.
• Knowledge of data warehousing, online analytical processing, metadata management, dimensional modeling, and relational database theory.
• Experience with programming and/or mathematics competitions.
• Product-oriented mindset.
• Domain knowledge or interest in sustainable development goals, especially public health, agriculture, and assisting developing countries.

Benefits and Work Environment

• Socially conscious projects.
• Significant ownership.
• A mix of product, internal platform, and client-integration work.
• Encouragement to explore technologies outside your main expertise.
• Optional travel to learn more about the problems being solved.
• Flexible working hours; short personal breaks during the day do not require approval.