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.

POSITION INFO:
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.

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
• Technical Leadership & Engineering Excellence:
  • 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, and 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