Data Engineer
Data
Data Engineer
Warszawa
Type of work
Undetermined
Experience
Senior
Employment Type
B2B
Operating mode
Remote
Tech stack
Python
SQL
Airflow
AWS
Docker
Job description
Online interview
For us mission is possible. We change the unchangeable healthcare experience for millions of patients and their doctors around the world. With fierce passion, absorbing inspiration and radiating ideas.We are entrepreneurs. We define goals, have autonomy and space to experiment. We are not afraid to fail. We believe in feedback and honesty delivered Kindly.
We love what we do. Together.
Want to learn more about Docplanner Tech? Find out!
Now we’re looking for a Data Engineer to join our team in Warsaw.
The challenge is as enormous as the scale and style of the whole DocPlanner undertaking - we are the world-leading online marketplace for doctors & patients, providing medical practice booking & management SaaS in 15+ countries, for 2+ mln active doctors and 30+ mln patients, operated from 7+ offices all over the world by 1000+ people.
Three words that describe this role:
Passion - Our most important value is "do what you love". We're looking for people passionate about building data products, but also learning every day. Passion is something making people stay with us for long - our turnover in the Tech team is under 10%!
Autonomy - We have both company and product goals but how you achieve them is your call. Moreover, your ideas and projects are more than welcome.
Entrepreneurship - Teams function like startups, which makes you and your whole team entrepreneurs.
What will you do with us?
- You will enable the company always be on top of business performance by supplying accessible and reliable data
- You will work on the edge of IT, Data and Product departments working closely with analysts from Product & BI teams as well as with developers and SREs
- You will be focused on development and maintenance of data environment (data warehouse, data lake, planned ML services)
What experience and skills do you need to do a great job in this position?
- Have a few years of professional experience connected with data engineering, data warehousing or software development
- Have experience with Python & SQL with good coding practices
- Are experienced with data pipelines (ie. Airflow)
- Are using cloud technologies, such as AWS
- Have sound technical background related to extracting, importing and exporting of data (ETL)
- Have strong analytical skills
- Are familiar with Docker
- Can analyze, synthesise and formalize your work and present your work clearly
- Are positive, resourceful, organize and proactive
- Are rigorous and your deliverables are perfect
- Can communicate in English (both spoken and written)
You’re a great fit for this role if you:
- Operationalized ML models (ie. in Docker, Kubernetes)
- Have experience in CI/CD for data environment
- Based data development on tests
- Are familiar with various big data tools (Hudi, Athena, Spark, Hadoop, Kafka / RabbitMQ)
You will get in return:
- 💶 Competitive salary adequate to your experience and skills.
- ⚕️ Private health plan.
- ✌ 26 free paid days.
- 📈 Share options plan after 6 months working with us.
- ✈️ Relocation package (from a different city or country).
- 🇬🇧 Free English classes.
- Flexible working hours (plot twist: this is true).
It would be much appreciated if you would apply with a CV in English :)
Psst. Do you know that our Candidate Experience score is over 8.5 out of 10? We do our best to keep the quality of our recruitment processes high!
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Take a look also at our pages to get a better idea:
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