Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇫🇮 Finland – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nordhealth

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2001

🏥 Healthcare

💼 Consulting

⚕️ Healthcare Insurance

Healthcare • Consulting • Healthcare Insurance

Nordhealth is a fast-growing software company focused on redefining healthcare through innovative products. The company is expanding internationally and values its diverse team of experts, including developers, sales personnel, customer service representatives, and project coordinators. Nordhealth is actively hiring new professionals and offers various employment opportunities such as fully remote and hybrid roles in Europe and the UK. To learn more, visit nordhealth. com.

📋 Description

• Design, build, and maintain scalable and reliable data pipelines using Python, PySpark, and SQL • Develop and optimize data transformations and ETL processes • Collaborate with Product Managers, Designers, Leadership, Development teams, and other stakeholders to understand data requirements and deliver solutions • Build scalable and discoverable SQL data models and maintain detailed documentation • Implement data quality checks and monitoring for accuracy and integrity • Optimize data storage and retrieval for performance and cost efficiency • Contribute to cluster optimization and maintenance • Document data engineering processes and best practices • Continuously improve team working practices and development processes • Set and deliver annual individual OKRs aligned with business unit, team, and company OKRs

🎯 Requirements

• 2–4 years of experience in a Data Engineering role • Proficiency in Python (core + dataframes), with focus on object-oriented programming and modularity • Experience with PySpark for large-scale data processing • Solid SQL skills, including 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 • Solid professional experience in data engineering, preferably in internal, financial, and operational reporting • Creativity, independent thinking, proactiveness, ownership, and problem-solving ability • Ability to collaborate with teams and stakeholders • Ability to work under pressure with tight schedules • Ability to prioritize tasks and manage time independently and collaboratively

🏖️ Benefits

• Competitive compensation and benefits • Learning and professional growth opportunities • The tools you need, and enjoy using • Frequent company events • Talented colleagues from around the world • Opportunity to work in a meaningful industry and fast-growing global company • Remote-first work environment with remote work or offices/collaboration hubs