Data Engineer

IQVIA; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading global provider of clinical research services is seeking a Data Engineer to design, build, and maintain robust data solutions. The ideal candidate will have experience developing scalable data pipelines and integrating diverse data sources, with a strong proficiency in Python. The role requires ensuring data quality and reliability, along with a Bachelor's degree in Computer Science or a related field. Join us to help improve patient outcomes through innovation.

Qualifications

• 3 years of experience in data engineering.
• Proficiency in relational databases including schema design and query optimization.
• Experience with data integration tools and building RESTful APIs.

Responsibilities

• Design, develop, and maintain data pipelines and ETL processes.
• Ensure data integrity and performance optimization.
• Collaborate with teams to align data solutions with business objectives.

Skills

Python

Data integration

Relational databases

RESTful APIs

Agile/Scrum

Education

Bachelor’s Degree in Computer Science, Data Engineering, or related field

Tools

MySQL

PostgreSQL

AWS

Docker

Prefect

Airflow

Job description

Proficiency in Python

Job Overview

We are seeking a Data Engineer to design, build, and maintain robust data solutions that enable efficient data processing and analytics. The role involves developing scalable data pipelines, integrating diverse data sources, and ensuring data quality and reliability across systems.

Essential Functions

• Design, develop, and maintain data pipelines and ETL processes to support analytics and reporting needs.
• Work with large datasets, ensuring data integrity, performance optimization, and scalability.
• Collaborate with cross‑functional teams to understand data requirements and deliver solutions aligned with business objectives.
• Implement best practices for data modeling, storage, and retrieval.
• Ensure compliance with data governance and security standards.
• Troubleshoot and optimize data workflows for efficiency and reliability.

Qualifications

• Bachelor’s Degree in Computer Science, Data Engineering, or a related field (or equivalent experience).
• 3 years of experience in data engineering.

Technical Expertise

• Proficiency in Python for data processing and automation.
• Strong experience with relational databases (e.g., MySQL, PostgreSQL), including schema design and query optimization.
• Experience with data integration tools and building RESTful APIs for data services.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker).
• Knowledge of DevOps practices and CI/CD pipelines (e.g., GitHub Actions).
• Experience working in Agile/Scrum environments.

Nice to Have

• Hands‑on experience designing and maintaining data pipelines using tools such as Prefect or Airflow.
• Knowledge of medical data standards such as FHIR and/or OMOP.
• Exposure to big data frameworks (e.g., Spark, Hadoop) and data warehousing solutions.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide.

To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.

Learn more at https://jobs.iqvia.com

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