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QualifyzeSenior Data Engineer (remote)
Qualifyze is seeking a Senior Data Engineer to join its Product and Tech division on a full-time, remote basis. Founded in 2019, the organization operates in…
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About This Role
Qualifyze is seeking a Senior Data Engineer to join its Product and Tech division on a full-time, remote basis. Founded in 2019, the organization operates in the life sciences sector as a supply chain compliance management provider, connecting more than 1,500 pharmaceutical and healthcare companies with a global network of over 250 auditors and quality experts across more than 85 countries. In this position, you will help develop and evolve…
Job Description
Qualifyze is seeking a Senior Data Engineer to join its Product and Tech division on a full-time, remote basis. Founded in 2019, the organization operates in the life sciences sector as a supply chain compliance management provider, connecting more than 1,500 pharmaceutical and healthcare companies with a global network of over 250 auditors and quality experts across more than 85 countries.
In this position, you will help develop and evolve the company data platform by overseeing pipelines and data products from inception to delivery. Your core responsibilities involve designing, creating, and maintaining reliable data pipelines that bridge operational databases and analytical systems while applying robust software engineering standards. You will collaborate closely with product specialists, backend engineers, and business stakeholders who rely on precise data to guide strategic decisions. This position is ideal for professionals possessing strong software engineering fundamentals, expertise in Python and SQL, and hands-on production pipeline experience within a product or platform environment.
Responsibilities
- Design, construct, and maintain scalable, well-tested data pipelines and data products
- Oversee features and pipelines from operational schema design to ingestion, transformation, and analytical delivery
- Contribute to data platform architecture and evaluate technical trade-offs with the team
- Establish and enhance standards regarding data modeling, quality assurance, testing, and code reviews
- Partner with product, engineering, and business teams to transform needs into practical data solutions
- Monitor and troubleshoot pipeline incidents to improve reliability and observability
- Guide colleagues through code reviews and pair programming
Requirements
- Proficiency in Python for data engineering, including ETL/ELT pipeline creation, modular design, testing with pytest, and observability
- Advanced PostgreSQL skills encompassing complex queries, performance tuning, indexing, and execution plan analysis for OLTP and OLAP workloads
- Practical experience utilizing dbt for building, testing, and documenting layered models
- Familiarity with workflow orchestrators like Dagster or Airflow for production job scheduling and monitoring
- Working knowledge of Docker and Kubernetes for containerizing and running data services and batch jobs
- Strong foundation in dimensional data modeling and operational versus analytical schema trade-offs
Qualifications
- Experience working with AWS services including S3, EKS, and Secrets Manager
- Familiarity with database schema migration tools such as Liquibase or data contracts
Core Skills
Benefits
- Competitive and annually reviewed compensation package
- Country vacation package that scales with tenure
- Regional benefits including private health care, fitness support, and meal allowances
- Annual personal development budget
- Hybrid working mode with up to three months of work-from-anywhere flexibility
- Equipment and tools needed for effective remote work
- Annual in-person company event and celebration held in Europe
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this role remote?
Yes, the position is offered with remote work capabilities, alongside a hybrid working mode and up to three months of work-from-anywhere flexibility per year.
What is the expected salary for this position?
The expected salary range for this role is around 60,000 EUR to 70,000 EUR, with final compensation depending on experience and performance.
What technical skills are required?
Candidates must have proficiency in Python, strong PostgreSQL skills, hands-on experience with dbt, familiarity with orchestrators like Dagster or Airflow, and working knowledge of Docker and Kubernetes.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.