Data Engineer

Clinical ink; Dubai; On-site; AED 293,000 - 404,000; Full time

Job summary

A leading life sciences company is seeking a Data Engineer to join its Engineering team remotely. This role focuses on ensuring data integrity and reliability across products by collaborating with various teams, performing root cause analysis, and implementing automated quality checks. The ideal candidate should have experience with programming languages such as SQL, Java, or Python and a strong analytical background, preferably in clinical trial data or healthcare datasets. Competitive compensation and opportunities for growth are offered.

Qualifications

• 2+ years of industry experience as a data engineer or related field.
• Demonstrated ability to write high quality code in data engineering languages.
• Experience with clinical trial data or healthcare datasets preferred.

Responsibilities

• Collaborate with cross-functional teams to investigate and resolve data issues.
• Develop and maintain dashboards to monitor data quality trends.
• Implement automated data quality checks and alerts.

Skills

SQL

Java

Python

Analytical skills

Communication skills

Education

Bachelor’s degree in computer science, data science, information systems, or software engineering

Tools

Data governance

Data quality

Job description

Overview

Clinical Ink is the global life science company that brings data, technology, and patient science together to unlock clinical discovery. Our deep therapeutic-area expertise, coupled with Direct Data Capture, eCOA, eConsent, telehealth, neurocognitive testing, and digital biomarkers advancement, drive the industry standard for data precision and usher in a new generation of clinical trials. With offices in Philadelphia, PA, Winston Salem, NC, and Iowa City, IA, Clinical Ink is rewriting the clinical development experience.

Job Description

Clinical Ink is seeking a Data Engineer to join our Engineering team based remotely across the United States! The Data Engineer is responsible for ensuring the integrity and reliability of data across all Clinical Ink products by collaborating with cross-functional teams, investigating issues, performing root cause analysis, and implementing automated quality checks, dashboards, and monitoring tools. The ideal candidate will have demonstrated programming skills (SQL, Java, Python, or similar) combined with prior experience driving continuous improvements in data processes, supporting technical troubleshooting, and using regulatory and SOP-compliant data practices to further enhance internal operations and customer experience. The Data Engineer's responsibilities include:

• Collaborate with cross-functional teams including Product Management, Development, Product Support, Study Build, Data Management, and others to investigate and resolve data related issues across all platforms and products.
• Lead efforts to review data integrity and identify potential data anomalies using SQL queries and analytical techniques.
• Perform root cause analysis on identified issues and contribute to corrective and preventative action planning.
• Develop and maintain dashboards and/or reports to monitor data quality trends and recurring issues.
• Implement automated data quality checks and alerts for real-time anomaly detection.
• Assist with ongoing data cleaning efforts to ensure accurate data deliveries, smooth data locking, and customer interim analyses.
• Assist in troubleshooting technical issues and proposing solutions under guidance from senior engineers and R&D leadership.
• Maintain clear and accurate records of support cases, technical findings, and resolutions to support future troubleshooting.
• Optimize internal data-related processes by identifying pain points and recommending improvements to enhance user and customer experience.
• Ensure data handling complies with regulatory standards and internal SOPs.

Qualifications

• Bachelor’s degree in computer science, data science, information systems or software engineering
• 2+ years of industry experience as a data engineer, software engineer or related field with experience working with large or complex datasets
• Demonstrated ability to write high quality code in one or more common data engineering programming languages such as Java, Python, Scala, SQL
• Strong analytical skills with the ability to detect patterns, anomalies, and inconsistencies in large datasets.
• Excellent oral and written communication skills.
• Experience with clinical trial data or healthcare datasets strongly preferred.
• Ability to communicate complex technical and data-related issues to internal and external stakeholders at various levels.
• Experience with other information management disciplines including data governance, data science, machine learning, data quality, data catalogs and data lineage preferred but not required.
• Adaptability and problem-solving under pressure, which are critical in fast-paced environments.
• Ability to manage multiple competing priorities in a fast-paced work environment.
• Familiarity with Clinical Ink products, integrations, and processes is highly desirable.

Additional Information

Clinical ink is an equal opportunity employer and does not discriminate against otherwise qualified applicants on the basis of race, color, creed, religion, ancestry, age, sex, marital status, national origin, disability or handicap, or veteran status.

www.clinicalink.com