Senior Data Engineering Technical Lead

SUMMARY:
We’re looking for a Senior Data Engineering Technical Lead who thrives on solving complex problems at scale. This role offers the opportunity to lead enterprise-grade data initiatives, design and build high-performance data platforms, and work hands-on with petabyte-scale systems in modern cloud environments.

You’ll combine deep technical expertise with leadership, guiding engineers, shaping architecture, and delivering mission-critical data solutions that power real business outcomes. If you’re passionate about data engineering, ownership, and building systems that truly matter, this is the role for you.

POSITION INFO:
Key Responsibilities:

Data Engineering & Migration Leadership

• Design and deliver large-scale data migration strategies supporting identity transformation across multi-petabyte datasets
• Develop robust data lineage mapping and validation frameworks to ensure accuracy and integrity
• Build scalable batch and streaming data transformation pipelines with parallel orchestration
• Lead JDK and Apache Spark upgrades while maintaining production stability
• Implement monitoring and observability to ensure data pipeline performance and system health
• Create comprehensive testing and validation frameworks for complex migration scenarios

• Own and provide technical leadership for critical system components
• Mentor engineers through pair programming, code reviews, and collaborative delivery
• Lead technical design discussions aligned with enterprise standards
• Drive delivery momentum by proactively identifying and removing blockers
• Collaborate cross-functionally to ensure strong technical alignment and successful outcomes

• Minimum 8 years’ experience in data engineering or related engineering roles
• Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience
• Proven expertise in large-scale data migration and ETL pipeline development
• Advanced proficiency in Scala and Java using Gradle or Maven
• Deep experience with Apache Spark and distributed storage systems (HDFS, S3, GCS)
• Production experience with cloud data platforms including Amazon Web Services, Google Cloud Platform, Microsoft Azure, or Databricks
• Hands-on experience with Amazon EKS and containerised workloads
• Strong understanding of data privacy, security, and compliance principles (GDPR preferred)
• Excellent distributed systems design, analytical, and problem-solving skills

• Software Developers
• Mobile Developers
• Business and Systems Analysts
• BI and SQL Experts

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