Technical Lead (Data Pipelines)

Location: London, United Kingdom; hybrid working model with in-person collaboration and remote work.

Company

hirify.global is building an AI platform for autonomous driving that learns from real-world experience and supports scalable deployment across vehicles and OEM partners.

What you will do

• Set the technical direction and roadmap for scalable data ingestion and processing pipelines.
• Design and implement systems that unify internal, external, and partner data into consistent formats for AI training and research.
• Evolve pipeline architecture and build interfaces that improve ingestion, transformation, distribution, reliability, and scalability.
• Establish best practices for observability, alerting, monitoring, failure recovery, latency reduction, and SLA performance.
• Collaborate with robotics, ML engineering, research, and data governance teams.
• Mentor engineers and support hiring and onboarding.

Requirements

• 8+ years of software engineering experience focused on complex, scalable data pipelines.
• 3+ years leading or architecting data engineering projects.
• Technical leadership experience in pipeline engineering or a related domain.
• Expertise in modern pipeline architectures and DAG-based orchestration, such as Airflow, Flyte, or Ray.
• Strong understanding of data engineering, distributed processing, and pipeline optimisation.
• Bachelor’s degree or higher in Computer Science, Engineering, or a related technical discipline.

Nice to have

• Experience with robotics or autonomous vehicle sensor data pipelines.
• Experience with third-party dataset ingestion and transformation.
• Knowledge of GDPR, TISAX, ASPICE, or other data governance frameworks.
• Hands-on experience integrating observability and monitoring solutions.

Culture & Benefits

• Hybrid work with dedicated offices, core hours, and hands-on access to vehicle workshops and labs.
• Relocation support and visa sponsorship where applicable.
• Market-benchmarked salaries and meaningful equity.
• Learning and development budgets for training, conferences, and professional growth.
• Health insurance, dental coverage, enhanced parental leave, retirement or pension benefits where applicable, therapy access, wellbeing partnerships, and team socials.
• Ownership and autonomy in an evolving, early-stage working environment.

Hiring process

• Initial recruiter call.
• Hiring manager meeting followed by three hours of deep-dive technical interviews covering programming, systems, and domain-specific topics.
• Final interview focused on mission and values alignment.