Lead Data Platform Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Data Platform Engineer based in Ireland.

You will join a highly specialized data engineering environment powering large-scale digital audience measurement systems used across the German and Austrian media ecosystem. The platform processes billions of events and delivers mission-critical analytics that support publishers, advertisers, and industry bodies with trusted reach and engagement metrics. In this role, you will take full ownership of a modern, cloud-native GCP data platform following a major migration phase. You will operate at the intersection of architecture, hands-on engineering, and technical leadership, shaping how the platform evolves in production. The environment is highly technical, fast-moving, and autonomy-driven, with strong emphasis on quality, scalability, and reliability. You will also help embed AI-assisted engineering practices to improve speed, consistency, and operational excellence across the stack.

Accountabilities

• Own and evolve the full data platform lifecycle, including ingestion, streaming, batch processing, data modeling, aggregation, and reporting pipelines.
• Define and execute the technical roadmap post-migration, focusing on stability, scalability, cost efficiency, and operational excellence.
• Strengthen observability, monitoring, alerting, and incident management for business-critical data workflows.
• Establish engineering standards for code quality, testing, documentation, and secure AI-assisted development practices.
• Drive improvements in data quality controls, validation frameworks, and operational safeguards across the platform.
• Lead architectural decisions and technical direction while remaining hands-on with core system development.
• Collaborate with Product, Customer Success, and leadership to translate business needs into scalable technical solutions.
• Guide external contributors and ensure sustainable internal ownership of all critical platform components.
  
  

Requirements

• 5+ years of experience in Data Engineering, Data Platform Engineering, or Platform Engineering in production environments.
• Strong proficiency in Go (Golang), used in backend systems such as ingestion services, Pub/Sub processors, Dataflow jobs, and tooling.
• Hands-on experience with GCP services including Pub/Sub, BigQuery, Cloud Run, Dataflow, Cloud Storage, and Cloud SQL.
• Strong SQL expertise and solid data modeling capabilities; experience with SQLMesh or similar tools is a plus.
• Experience with Terraform, CI/CD pipelines, and containerized, serverless-first architectures (Cloud Run preferred).
• Familiarity with Protobuf or other schema definition/serialization frameworks.
• Experience with AI coding assistants and strong judgment in reviewing AI-generated code for quality and risk.
• Exposure to or interest in digital audience measurement, web analytics, or related data-heavy domains is highly valued.
• Strong communication skills with the ability to align technical and non-technical stakeholders.
• Fluent German (C1) required and good English for documentation and cross-team collaboration.
  
  

Benefits

• 100% remote-first setup with full flexibility in working location and hours
• High autonomy and ownership culture with minimal bureaucracy and fast decision-making
• Opportunity to shape and evolve a mission-critical, large-scale data platform post-migration
• Strong engineering culture with focus on quality, scalability, and continuous improvement
• Collaborative, low-ego team environment with open knowledge sharing
• Access to a broader SaaS ecosystem and internal expert community for learning and exchange
• Meaningful technical impact on a system used across major European media stakeholders
• Long-term product and platform ownership rather than short-term project delivery
  
  

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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