Data Engineer to leading e-health provider!

Data Engineer to leading e-health provider!

Arbetsbeskrivning

MedHelp is one of the leading e-health companies in Sweden. Through our SaaS solution, we offer smart health and care solutions to private, public companies and organizations.

OFFER

MedHelp is on a mission of helping people getting a better health - and our cure is Data and Machine Learning. Do you want to join a fast-paced scale-up where your work has a direct impact on hundreds of thousands of individuals? Now we are looking for a Data Scientist to join us in the race of taking the lead of the rapidly growing e-health industry.

It is a very exciting time to join our journey! We offer a unique opportunity to join the team at one of the most innovative e-health providers in Sweden.

Some of the benefits of working at Medhelp:

- Friendly organization with a caring culture
- Really nice managers / colleagues.
- Shape the role a lot yourself and decision-making
- Participate and contribute to the product development.


ABOUT THE ROLE

You will join the newly established Data and Analytics team and have a central role in building the infrastructure to improve the analytics initiatives. Your responsibilities will be to take ownership of the components to deliver robust, insightful and real-time analytics to the end-users. You will be working and expanding our tech-stack built on AWS using tools such as Kubernetes, Postgres, RabitMQ, Snowflake and CircleCI.

Tasks:

- Design, implement and build pipelines that deliver data with measurable quality under the SLA.
- Partner with domain experts, data analysts and other Teams to build foundational data sets that are trusted, well understood and aligned with business initiatives.
- Take responsibility for documenting data pipelines and data lineage.
- Building out the machine learning infrastructure as well as building and deploying models.


YOUR PROFILE



We are seeking an individual who wants to play an instrumental part in supporting our business growth and take a lot of responsibility.

Own: Shape and improve our technical architecture to deliver qualitative data and metrics to our SaaS platform, used by customers for insights and decision making. Proactively make decisions on what data to collected and use.

Teach: How to apply best practices when it comes to data engineering, including pipelines, data lineage, documentation and scaling data services.

Learn: Our service architecture and deployment workflows. How information is collected, captured and utilized to generate value. Efficient architecture for real-time inference.

Skills and qualifications:

- Master’s Degree in Computer Science or Engineering discipline.
- 5+ years of experience in data management disciplines, including data integration, data modeling, optimization and data quality.
- Experience in working on multiple areas including but not limited to ETL, Data modeling & design, writing complex SQL queries etc.
- Hands-on experience with Data Warehouse technologies (Snowflake, Redshift)
- Proficiency in scripting languages (mainly Python).


ABOUT MEDHELP

MedHelp is one of the leading e-health companies in Sweden. Through our SaaS solution, we offer smart health and care solutions to private, public companies and organizations.

Our solutions support companies in their proactive and strategic work to create healthy organizations and decrease sick leave.

With twenty years of experience and an innovative technical platform we are one of Sweden's leading players in e-health, with high growth ambitions across borders.

We are now looking for a skillful and outgoing Data Scientist to come and join us on our exciting journey here in Stockholm!

ABOUT PINETREE

At Pinetree, we have a vision and mission to differentiate ourselves from the crowd and are Sweden's contenders in talent search and matching.

By working as an agency, the value to you as an employee is that we have a very wide network of partner companies that we continuously ensure high quality standards.

This recruitment is a direct employment at Invidi AB and all applications, questions, administration and recruitment process is managed by Pinetree AB.

Kontaktpersoner på detta företaget

Per Lindhe
+46 8 410 455 00
Daniel Wren

Karolina Lundin

Angelica Salazar Nelin
0734-26 29 88

Sammanfattning

  • Arbetsplats: Pinetree
  • 1 plats
  • Tills vidare
  • Heltid
  • Fast månads- vecko- eller timlön
  • Publicerat: 3 januari 2022
  • Ansök senast: 28 februari 2022

Besöksadress

No 18 Grand Central, Centralplan 15, Stockholm
None

Postadress

No 18 Grand Central, Centralplan 15
Stockholm, 11120

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