Data Platform Engineer
QED (https://qed.ai) is a tech company focused on public health and food security in Sub-Saharan Africa. We build the digital infrastructure and AI used at the intersection of aid and scientific inquiry, including surveillance of HIV/malaria/TB, and nutrient analysis of crops and soils, working at national-scale in several African countries. Our funding comes from multiple philanthropic and governmental organizations, including the Global Fund, Gates Foundation, and the CDC.
We are looking for a mid/senior Data Platform Engineer (backend) to join our team in Warsaw. Desired skills include:
experience designing and maintaining data pipelines using ETL and/or ELT approaches, with the ability to reason about trade-offs rather than defaulting to a single pattern
understanding of data pipeline reliability concepts, including idempotency, backfills, and handling late or corrected data
ability to structure data systems into clear layers (e.g. raw, cleaned, curated) and reason about their different purposes and guarantees
experience deciding between batch, micro-batch, and streaming approaches based on latency, correctness, and operational complexity
strong background in software engineering, version control, writing readable code and tests, robust design, and basic data structures and algorithms
ability to conceive logical software architectures and express yourself clearly, both verbally and in writing
willingness to tackle a wide array of problems and technologies
willingness to participate in regular design sessions, code reviews, and working in teams
development primarily on UNIX-based or OSX-Darwin platforms
working proficiency (≥C1) in speaking, reading, and typing English (≥45 words per minute)
willingness and interest in working with people from other cultures
emotional resilience and social intelligence
and you have to care about the work that you do
and you have to be optimistic at least sometimes, although pessimism tends to be useful
Below are additional skills that are a bonus, but are not required:
understanding of analytical data modeling concepts, including how to transform raw data into analytics-ready datasets and define clear data semantics for downstream consumers
experience with Python, Django, DBT, Dagster, Luigi or Clickhouse
experience with containerization (Docker), Terraform, Kubernetes or Nix
knowledge and experience with data warehousing, online analytical processing, metadata management, dimensional modeling, and relational database theory
experience with programming and/or math competitions
product-oriented mindset
willingness to go on an adventure
domain knowledge and/or interest in the sustainable development goals, particularly in public health, agriculture, and assisting developing countries
What can you expect:
unusual, socially conscious projects
significant ownership
a mix of product, internal platform, and client integration work
ability and encouragement to explore technologies other than your main expertise
optional travel to learn more about problems we're trying to solve
Requires a full-time commitment physically based in Warsaw, Poland, with a hybrid of remote and in-person work throughout the week. We expect at least 2-3 days per week in the office. The working hours are flexible, for example you do not need approval to take out a small chunk in the middle of the day to handle some personal business.