Data Engineer

Nordhealth; Helsinki; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Competitive pay

Growth opportunities

Global team

Learning opportunities

Job summary

Nordhealth in Helsinki is seeking a Data Engineer to build and maintain the data infrastructure powering our internal products. You will design scalable pipelines and collaborate with product and design teams to translate requirements into robust data solutions.

The role emphasizes data processing, modeling, quality checks, and storage efficiency. Proficiency with Python, PySpark, SQL, and experience with Databricks/DBT are highly valued, along with strong English communication.

Qualifications

• 2–4 years of experience in Data Engineering
• Proficiency in Python (core + dataframes)
• Experience with PySpark for large-scale data processing
• Strong SQL and data quality checks
• Data modeling and query optimization
• Experience with Databricks and DBT is a big plus
• Experience with databases like ClickHouse is a big plus
• AI fluency (MCP, agents, cross-agents review)
• Knowledge of DevOps principles and CI/CD practices is an advantage
• Full proficiency in English, written and spoken

Responsibilities

• Design, build, and maintain scalable data pipelines using Python, PySpark, and SQL.
• Develop and optimize ETL processes, ensuring data accuracy for internal reporting.
• Collaborate with Leadership to understand data requirements and deliver effective solutions.
• Build scalable data models in SQL and maintain detailed documentation.
• Implement data quality checks and monitoring to ensure data integrity.
• Optimize data storage and retrieval for performance and cost efficiency.
• Contribute to cluster optimization and maintenance.
• Document data engineering processes and best practices, with clear communication.
• Collaborate to continuously improve team practices and processes.
• Annual OKRs set at the individual level to contribute to business unit goals.

Skills

Python

PySpark

SQL

Data pipelines

ETL

Data modeling

AI fluency

DevOps

CI/CD

English

Tools

Databricks

DBT

ClickHouse

Job description

Who are we?

Nordhealth (OB:NORDH) is the leading provider of cloud-based Practice Information Management Software (PIMS) to veterinary and therapy professionals.

Over the last three years, we have grown our Annual Recurring Revenue (ARR) and team size by almost 10x. Today, more than 30,000 therapy and veterinary professionals use our software everyday to help treat over 20 million patients annually across 35+ countries. It’s been an exciting growth journey so far and we are just getting started. Our mission is to enable healthcare professionals to deliver better patient care through software, with a goal to help serve over 200 million patients by 2030. In support of this growth mission, in May 2021, Nordhealth raised €120M through a public-listing on Euronext Growth Oslo stock exchange.

Nordhealth is a remote-first company, headquartered in Helsinki, Finland. Our 430+ employees work either remotely or from offices/collaboration hubs. While our market presence is currently strongest in the Nordics, our customer base is rapidly growing in North America and Europe, with clients in the US, UK, Spain and many others. For more information, visit our company’s website at www.nordhealth.com

About the role

The Data Engineer works as part of the Data Engineering team. This position is responsible for building and maintaining the data infrastructure that supports our internal 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 internal reporting.

• Collaborate with Leadership Team 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.

Success Factors & Key Challenges

• Solid professional experience in data engineering, preferably within an area of internal, financial and operational reporting

• 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.

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:

• 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 ClickHouse is a big plus.

• AI fluency (MCP, agents, cross-agents review)

• 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