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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:
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Designing and optimising AI-ready data pipelines and ETL processes.
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Building scalable data solutions to support machine learning and AI-driven analytics.
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Working closely with data scientists, AI engineers, and software teams to turn data into powerful insights.
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Ensuring data integrity, governance, and compliance with healthcare regulations.
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Leveraging cloud-based AI and data platforms (AWS/Azure/GCP) and cutting-edge data tools.
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Providing technical leadership and mentoring junior engineers.
What We're Looking For:
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Proven experience as a Lead Data Engineer in AI or machine learning environments.
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Strong background in ETL development, data modelling, and data warehousing for AI and ML applications.
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Proficiency in SQL, Python, or Scala, with hands-on experience in AI/ML data workflows.
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Expertise with cloud platforms (AWS, Azure, or GCP) and AI-related services.
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Familiarity with big data technologies like Spark, Databricks, or Kafka.
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Knowledge of MLOps, feature engineering, and model deployment is a plus.
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Experience in regulated industries (healthcare, finance) is a bonus.
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Strong problem-solving skills and the ability to communicate technical ideas clearly.
