Principle Data Engineer

Description:

We’re seeking a hands-on Principal Data Engineer to design and deliver enterprise-scale, cloud-native data platforms that power analytics, reporting, and real-time decision-making.

This is a strategic technical leadership role where you’ll shape architecture, mentor engineers, and deliver end-to-end solutions across a modern AWS/Databricks stack.

What you’ll do

• Lead the design of scalable, secure data architectures on AWS.
• Build and optimise ETL/ELT pipelines for batch and streaming data.
• Deploy and manage Apache Spark jobs on Databricks and Delta Lake.
• Write production-grade Python and SQL for large-scale data transformations.
• Drive data quality, governance, and automation through CI/CD and IaC.
• Collaborate with data scientists, analysts, and business stakeholders.
• Mentor and guide data engineering teams.

What we’re looking for

• Proven experience in senior/principal data engineering roles.
• Expertise in AWS, Databricks, Apache Spark, Python, and SQL.
• Strong background in cloud-native data platforms, real-time processing, and data lakes.
• Hands-on experience with tools such as Airflow, Kafka, Docker, GitLab CI/CD.
• Excellent stakeholder engagement and leadership skills.