Data Engineering Lead - Morgan McKinley - eFinancialCareers : Job Details

About the Role: We're looking for a Lead Data Engineer to join an innovative HealthTech company on a 6-month contract. This is your chance to play a key role in shaping AI-driven healthcare solutions, building scalable data infrastructure, and working with a team that's passionate about making a real impact. What You'll Be Doing:

• Designing and optimising AI-ready data pipelines and ETL processes.
• Building scalable data solutions to support machine learning and AI-driven analytics.
• Working closely with data scientists, AI engineers, and software teams to turn data into powerful insights.
• Ensuring data integrity, governance, and compliance with healthcare regulations.
• Leveraging cloud-based AI and data platforms (AWS/Azure/GCP) and cutting-edge data tools.
• Providing technical leadership and mentoring junior engineers.

• Proven experience as a Lead Data Engineer in AI or machine learning environments.
• Strong background in ETL development, data modelling, and data warehousing for AI and ML applications.
• Proficiency in SQL, Python, or Scala, with hands-on experience in AI/ML data workflows.
• Expertise with cloud platforms (AWS, Azure, or GCP) and AI-related services.
• Familiarity with big data technologies like Spark, Databricks, or Kafka.
• Knowledge of MLOps, feature engineering, and model deployment is a plus.
• Experience in regulated industries (healthcare, finance) is a bonus.
• Strong problem-solving skills and the ability to communicate technical ideas clearly.