Data Mining Engineer

Qinecsa

Qinecsa is a global team of technology innovators and entrepreneurs with deep experience in clinical research, medical product safety and public health surveillance. We are working with regulators, major pharmaceutical companies and academia to develop the next generation of analytical solutions used to improve drug, vaccine and device safety monitoring and public health surveillance. We are growing and looking for world class talent to help us deliver innovative products and services that help our customers answer complex and important questions.

Position title

Experience

Location

Overview

Reporting to Head of Development, you will be responsible for developing and optimising data driven products and services for our Qinecsa product suite, including data lakehouse, Data Access APIs and reporting.

Responsibilities

• Contribute to all phases of the software development lifecycle
• Design and architect future-state solutions
• Design and maintain conceptual, logical, and physical product data models
• Assist in process and performance optimization for data access

• Database tuning and optimisation

• Help guide and mentor less experienced software developers
• Support and resolve base product defects and incidents client testing and production environments
• Staying up to date with recent technology trends and tools.

Technical Stack

• AWS
• SQL
• Python
• Apache Kafka
• PostgreSQL
• Linux/Ubuntu

Required Qualifications and Skills

• Extensive professional data product development experience, including design, development, documentation, and maintenance across the full software development lifecycle
• Experience in designing and implementing data products
• Experience creating secure data solutions including avoidance and mitigation patterns for relevant current and previous OWASP top-10
• Demonstrable experience in data modelling and tuning SQL query performance
• Experience working with relational databases (PostgreSQL preferred) and efficient data design and access (ORM, JDBC, DAO, SQL)
• Experience or an intertest and willingness to learn GXP/Computer Systems Validation principles
• Strong attention to detail
• Ability to work independently and multi-task effectively
• Excellent written and oral communications skills

Preferred Qualifications and Skills

• Life Sciences and / or Pharmacovigilance related data sets and standards, e.g. E2B R2 / R3, MedDRA, IDMP
• Developing Healthcare or Life Sciences data products for regulated environments
• Developing using AWS, and associated proprietary AWS services, e.g. S3, RDS, DMS
• Development using Eclipse, Git and Jira in a hybrid Agile methodology
• Data management tools, such as Flyway or Liquibase
• Reporting and BI tools such as Tableau

Education and Experience

• Bachelor’s degree in computer science, informatics, or a related field
• Minimum of 10 years of fulltime experience in data engineering / modelling

Qinecsa is an equal employment opportunity and affirmative action employer. We do not discriminate based upon race, color, religion, sex, national origin, age, genetic information, gender identity or expression, sexual orientation, disability, or any other characteristic protected by law.

All qualified candidates are encouraged to apply.