Return to jobs
Join a team revolutionizing women's health with AI and machine learning as our new Data Engineer
Overview
Salary
No salary declared 😔
Location
Vilnius, Vilnius, Lithuania,
Expires
Expires at anytime
Join an innovative company at the forefront of health technology, committed to improving access to health information for millions globally. As a hub of diverse professionals from product builders to medical experts, our mission is to empower users with accurate, personalized health insights through advanced AI and machine learning.
- Organisation summary - An innovative health tech firm leveraging AI to enhance women's health.
- Role Summary - Develop scalable data pipelines, ensure data quality, and contribute to machine learning feature engineering.
- Role Requirements - 8+ years in engineering, proficiency in Scala or Python, expertise in Spark, strong knowledge of data warehousing and ETL/ELT, and familiarity with cloud data stacks.
We're a world-class team of product builders, engineers, data scientists, growth hackers, user researchers, designers, and medical experts — all building an app that generates long-term value for our millions of users worldwide. Our engineers aren’t just building a better product; they’re making the world a better place by improving access to important health information. We leverage machine learning and AI to provide accurate cycle predictions and relevant, personalized, and medically credible health tips.
We are looking for a person who understands the value of the data, treats it as a valuable resource, and has good engineering skills. You will be responsible for the scalable data pipelines, data quality, and feature engineering for our machine learning models to deliver more accurate, more personal, and more explainable solutions for women’s health issues.
We're not a service team; we're the architects of a product suite dedicated to empowering every corner of our organization with actionable insights. Our expertise in Data Engineering and Data Quality isn't just a badge of honor; it's the cornerstone upon which our company's analytics and data pipelines stand tall.
What you’ll be doing:
- Play a role in shaping strategies for Big Data Solutions and advancing our Data Platform Product.
- Design tools and components for data users.
- Engineer scalable and reliable data pipelines.
- Design and engineer data quality.
- Work as a part of a cross-functional team with backend and machine learning engineers.
- Put attention to detail and keep a watchful eye on production processes.
What we’re looking for:
Must have:
- 8+ years of prior experience in an Engineering role.
- Strong programming skills in Scala or Python.
- Proven experience with Data Platforms (Data Lake/LakeHouse).
- Expert knowledge of Spark.
- A deep understanding of data warehousing and ETL/ELT concepts
- Experience cloud data stacks
Nice to have:
- Experience with AWS & Databricks
- Experience with data modeling
- Experience with data quality frameworks
- Experience with production Machine Learning systems
