Engineer Process Improvement

Job Description

Only CV's in English will be considered

We are looking for a talented and detail-oriented Hybrid Database / Power BI Developer to join our Process Improvement team. This role combines expertise in database development and business intelligence, focusing on creating scalable, high-performance data solutions and delivering actionable insights through advanced Power BI reporting.

Key Responsibilities:

Database Development

• Design, develop, and maintain SQL-based relational databases and data models

• Write and optimize stored procedures, views, functions, and complex queries

• Build and manage ETL processes to ingest and transform data from various sources

• Monitor database performance, ensure data integrity, and implement security best practices

• Work closely with backend developers and data architects to support efficient data architecture

Power BI Development

• Develop and maintain scalable Power BI dashboards and reports

• Use Power Query (M) and DAX to transform data into insightful visualizations

• Create calculated columns, measures, and KPIs using advanced DAX techniques

• Build semantic data models with proper relationships, hierarchies, and normalization techniques

• Ensure dashboards are optimized for usability, performance, and scalability

Qualifications

Required Skills & Experience:

• Minimum 3 years of experience in a database development role (e.g., SQL Server, PostgreSQL, Oracle)

• At least 2 years of hands-on experience building Power BI dashboards and data models

• Proficient in SQL and strong understanding of data modeling principles (e.g., normalization, star schema)

• Advanced knowledge of DAX and Power Query (M)

• Experience with ETL tools or processes such as SSIS, Azure Data Factory, or custom-built pipelines

• Exposure to data governance and BI development best practices

Preferred Qualifications:

• Experience with cloud-based data platforms (e.g., Azure SQL, AWS RDS, Snowflake)

• Familiarity with Agile or Scrum methodologies

Soft Skills:

• Strong analytical and problem-solving capabilities

• Excellent communication skills, both verbal and written

• Ability to work independently and collaboratively within cross-functional teams

• Confident in gathering and translating requirements from technical and business stakeholders

• Highly detail-oriented with a commitment to data accuracy and reliability

Additional Information

Advance your career in clinical research, coordinating a variety of tasks and learning new things while growing with the company.