Position

Data arquitect

United Kingdom



MAIN RESPONSIBILITIES:
• Lead the design, development, and implementation of scalable and reliable data products and integration solutions, ensuring high performance, data quality, and security.
• Collaborate with cross-functional teams, including product managers, product owners, business analysts, and other engineers to gather requirements and define integration needs.
• Provide technical leadership and guidance to a team of software engineers, fostering a culture of innovation, collaboration, and continuous improvement.
• Design and develop APIs, data pipelines, and ETL processes to enable seamless data integration and transformation across different systems and platforms.
• Evaluate and select appropriate data integration tools, frameworks, and technologies, considering factors such as scalability, performance, and maintenance capability.
• Conduct thorough testing and debugging of integration solutions to identify and resolve issues, ensuring data accuracy and integrity.
• Stay up-to-date with industry trends and advancements in data management, integration, and related technologies, and apply this knowledge to enhance existing systems and propose new solutions.
• Conduct code reviews, provide constructive feedback, and mentor junior engineers to foster their growth and technical excellence.
• Collaborate with stakeholders to understand business requirements and translate them into technical specifications for effective data management and integration solutions.
• Drive adoption of best practices and standards for data governance, data modeling, and integration processes.
• Participate in continuous improvement initiatives and suggest enhancements to the testing process and tools to help accelerate, simplify, and reduce the cost of implementation.
• Ensure compliance with Qinecsa's internal policies and procedures, as well as external data and security regulations.

EXPERIENCE:
• Proven experience (8+ years) as a software or data engineer, with a focus on data management, integration, and related technologies.
• Extensive experience in designing and developing data integration solutions, including ETL frameworks, REST APIs, and messaging systems.
• Strong programming skills in languages such as Python and Java with experience working with databases and SQL.
• Deep knowledge of data management concepts, including data storage, data modeling, and data governance.
• Experience with cloud platforms and services (e.g., preferably AWS) for data storage, processing, and integration.
• Familiarity with big data technologies such as Spark or Kafka.
• Experience in creating and working with Continuous Data Integrity/Testing platforms.
• The following industry experience would be highly advantageous:
o Understanding of software validation/GxP in regulatory environment and knowledge of key government regulations, such as 21 CFR Part 11.
o Experience in working with data structures and pharmacovigilance standards, i.e., E2B, MedDRA, WHO Drug.
o Experience in working with leading signal case processing systems, e.g., ArisGlobal, Argus, Veeva.
We are hiring!

Data arquitect

United Kingdom
