Fimador is recruiting for a Principal Data Engineer to join a team developing cutting-edge data-driven products. This role helps the firm pioneer AI and ML in the global environment. The position is central to designing and maintaining scalable pipelines, data platforms, and integrations, while ensuring solutions meet regulatory standards and align with architectural best practices.Responsibilities

Build and optimise scalable data pipelines using Databricks and Apache Spark (PySpark).Ensure performance, scalability, and compliance (GxP and other standards).Collaborate on requirements, design, and backlog refinement.Promote engineering best practices including CI/CD, code reviews, and testing.Research and introduce new tools, technologies, and methodologies.Ideal experience

Experience with efficient, reliable data pipelines that improve time-to-insight.Knowledge of secure, auditable, and compliant data workflows.Know how on optimising performance and reducing costs through Spark and Databricks tuning.Be able to create reusable, well-documented tools enabling collaboration across teams.A culture of engineering excellence driven by mentoring and high-quality practices.Preferred Experience

Databricks in a SaaS environment, Spark, Python, and database technologies.Event-driven and distributed systems (Kafka, AWS SNS/SQS, Java, Python).Data Governance, Data Lakehouse/Data Intelligence platforms.AI software delivery and AI data preparation.Seniority level

Not ApplicableEmployment type

Full-timeJob function

Engineering and Information TechnologyIndustries: Software Development and Technology, Information and Media

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