Data Engineer

👋 Who are we?

Nordhealth is a publicly listed, fast-growing SaaS company on a mission to redefine digital care experiences in healthcare. Our flagship product, Provet Cloud, is a leading veterinary practice management system (PIMS) trusted by over 40,000 veterinary professionals across more than 9,000 clinics in 25+ countries.

We are a remote-first company we a true asynchronous culture, headquartered in Helsinki, Finland, with all 450+ employees working either remotely or from collaboration hubs. While our market presence is currently strongest in the Nordics, our customer base is rapidly growing in our other markets too, especially in Europe and North America (more at our website nordhealth.com.)

About the role 

Our new Data Engineer will be part of the Data Engineering team that has the mission to build the first A.I tools for Provet Cloud! 
This position is responsible for building and maintaining the data infrastructure that supports our client-facing products. This role involves collaborating closely with Product Managers and Designers to understand requirements and translate them into effective data warehousing solutions.
The Data Engineer will also work with Development teams to establish and enforce best practices for data processing and modeling. This role is essential for ensuring data accuracy, efficiency, and scalability, ultimately impacting client retention and satisfaction!🚀

Your key responsibilities include:

• Design, build, and maintain scalable and reliable data pipelines using Python, PySpark, and SQL.
• Develop and optimize data transformations and ETL processes, ensuring data accuracy and relevance for our clients.
• Collaborate with Product Managers and Designers to understand data requirements and deliver effective solutions that meet client needs.
• Build scalable and discoverable data models in SQL and maintain detailed documentation for each.
• Implement data quality checks and monitoring to ensure data accuracy and integrity, directly impacting the quality of data our clients receive.
• Optimize data storage and retrieval for performance and cost efficiency, considering the demands of client access and reporting.
• Contribute to cluster optimization and maintenance, ensuring efficient resource utilization.
• Document data engineering processes and best practices, with a focus on clear communication for both internal teams and, where appropriate, client-facing documentation.
• Collaborating in continuously improving the team’s working practices and development processes.
• Annual OKRs will be set at the individual level to contribute to the OKRs of the Business unit, Team and the Company.
  

What will help you to be successful in this role?

Ideally, you have already gained some experience from working in a fast growing, global SaaS company. In addition, our humble wishlist includes:

• Solid professional experience in data engineering, preferably within a fast-growing, global SaaS company supporting client-facing data products
• As we are building the infrastructure from the ground up, courage to make conclusions, do our own research and take ownership is a key to being successful in the role.
• Creativity, independent thinking and proactiveness in problem solving are essential success factors for this role.
• Close co-operation with the team and with other stakeholders is required. Independence in connecting with relevant parties and good collaboration skills are required in this role.
• Capability to work under pressure with tight time schedules.
• Ability to prioritize work tasks and time management both independently and in collaboration with the team.
• Enjoying collaboration with product, design, and other engineers to ensure high-quality implementation.

Knowledge, Experience, and Capabilities

• 2-4 years of experience in Data Engineering role
• Proficiency in Python (core + dataframes). Focus on Object Oriented Programming and modularity.
• Experience with PySpark for large-scale data processing.
• Solid SQL skills, including the ability to write complex queries and quality checks
• Proven experience in data modeling and query optimization
• Experience with Databricks and DBT is a big plus.
• Experience with databases like Pinot or ClickHouse is a big plus.
• Experience with data visualization tools (e.g., Tableau, Looker) is a plus, especially if used for client-facing reporting or dashboards.
• Knowledge of DevOps principles and CI/CD practices is an advantage.
• Full proficiency in English, written and spoken.

What’s in it for you?

At Nordhealth, we do things a little bit differently. We value continuous improvement, diverse teams and autonomy which drive our collaboration. Our global healthcare domain is rapidly developing and we are seeking colleagues who enjoy working in this type of environment. 🌎

In addition, we offer:

• The chance to work in a meaningful industry and in a fast-growing, global company on a path to changing digital healthcare
• Competitive compensation and benefits
• Learning and professional growth opportunities
• The tools you need, and enjoy using

• Frequent company events and talented colleagues from around the world

If you enjoy working in a fast-growing and international environment with the possibility to make an impact, this might be the perfect job for you. Apply now! We'll fill the position as soon as we find the right person.