Data Analytics Engineer/DataOps
Data
Data Analytics Engineer/DataOps
Wrocław
Type of work
Undetermined
Experience
Senior
Employment Type
B2B
Operating mode
Remote
Tech stack
Big Data
ELT
DevOps
Data Enineer
Job description
Online interview
At Infermedica we proudly develop state-of-the-art technology that supports patients and physicians in making the best clinical decisions. By interweaving medical and technical expertise our multi-disciplinary team creates AI-powered healthcare solutions that help and serve all key actors in the healthcare space: patients, primary care physicians, and health systems. We’ve established an extremely ambitious challenge - to create a platform that will help millions of people worldwide in diagnosing and treating primary care diseases.
We’re a unique group of people passionate about redesigning healthcare for millions of people on the Planet. Our team is constantly growing and we are always on the lookout for top-notch specialists with technological, data science, marketing, sales, customer success, medical, business, or product expertise.
Everything you need to know before joining Infermedica is nicely gathered in our Hello Book: Infermedica for candidates. Enjoy your reading and we look forward to hearing from you!
We are looking for a Data Analytics Engineer/DataOps to help manage the data pipelines at the core of our product. This role would be situated at the crossroads of Infrastructure and Business Intelligence teams. You will support our data operations across the organization and manage our cloud-native infrastructure that supports analytical workload. We are open to all the adjustments and changes that might improve our data operations stack. This is a unique opportunity to become the first DataOps Engineer in the company and impact the data streamline flow according to your vision and expertise.
Requirements and skills
- 2+ years of commercial experience (software development or DevOps/DataOps/Data Engineer experience)
- Good understanding of DevOps culture, infrastructure, and automation
- Strong SQL skills (we are using CloudSQL along with keeping the whole infrastructure on Google Cloud Platform)
- Knowledge of Big Data/ELT technology (as a Medtech company, we are also working on massive datasets of medical data, so the knowledge of Big Data technology is very much needed, especially in the context of cloud solutions)
- Familiarity with BigQuery, Snowflake, or any other similar solution (our BI team is using BigQuery as a data warehouse which enabling to control access to both the project and data based on our business needs)
- Hands-on experience with GCP / AWS / Azure (GCP preferred)
- Experience managing and automating cloud infrastructure, ideally using Infrastructure as Code approach (we use Terraform for building, changing, and versioning infrastructure)
- Previous experience in a DataOps role is advantageous but not strictly necessary
It would be even better if you have:
- Good command of Python or Go
- Experience using containerization and automated deployment technologies, such as Docker and Kubernetes
- Experience operating in the dynamic and fast-paced startup environment
Perks and benefits
We're committed to building an open and supportive environment where you can do your best work and improve your competence. You will be working with great people, and we will help you lead a healthy life outside of the office. What benefits do we provide?
- Employee Stock Ownership Plan - you become the owner of the company
- Flexible forms of employment - you choose the form according to your preferences
- Flexible working hours - you can start your work at a convenient time align with your work-life balance needs
- Any equipment you need
- Ability to work remotely - right now we are working 100% remotely but we have an office in Tarasy Grabiszyńskie
- Paid holidays
- Private health coverage (PZU Zdrowie)
- Free consultations with a doctor in our office
- Training budget - you have up to 2000 PLN per year and 3 fully paid days for your development
- MyBenefit cafeteria platform - you can order MultiSport as one of the options
- Lunch discounts
Next steps
If this sounds like a good fit for you, apply now by clicking the button below. We need to know where you are as a Data Analytics Engineer/DataOps, so your application must include your CV and links to your online profiles (LinkedIn, GitHub, etc.).
Interview steps:
- A short call with selected candidates. It would take about 60 minutes.
- Next, two interviews are planned. Technical interview with Development and Infrastructure team members and interview with CTO to better understand your experience, expectations, and motivation. This would be done remotely and could take about 2 hours in total.
- Job offer proposal, if successful.
Once you have passed all of these steps, we’d be more than happy to have you on board!
Check similar offers
