Technical Product Owner (Data Engineering)

Product Madness (U.K) Limited; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading mobile app development company in Greater London seeks a Technical Product Owner to lead data engineering efforts for its mobile applications. The role involves owning the data infrastructure roadmap, collaborating closely with data engineers, and translating business needs into actionable technical requirements. Ideal candidates will have experience in a similar role within a data-centric environment, solid knowledge of data platforms like Snowflake, and strong communication skills. This position plays a key role in ensuring data-driven decision-making across the organization.

Qualifications

• Experience as a Technical Product Owner or Data Product Manager in a data engineering environment.
• Solid understanding of data platforms and pipelines.
• Strong communication skills to liaise with technical and non-technical teams.

Responsibilities

• Own the roadmap for data infrastructure and management for multiple apps.
• Gather and translate business requirements into technical stories.
• Coordinate delivery and maintenance of data management systems.

Skills

Technical Product Ownership

Data Engineering

Communication Skills

Data Platforms Knowledge

Tools

Snowflake

Looker

Airflow

Job description

We are seeking a Technical Product Owner (TPO) to support the Data Engineering team that powers data solutions for our Mobile apps. This role connects business collaborators, analytics, and engineering. It ensures the team delivers high-quality, scalable, and efficient data products that enable data-driven decision-making throughout the business.

The ideal candidate will combine technical knowledge of data infrastructure with strong business insight, translating complex business needs into actionable data engineering requirements.

What you'll do

Product Ownership & Prioritization

• Own the roadmap for data infrastructure and management for 4 of our apps, aligning with business and analytics priorities.
• Gather and translate business requirements into clear technical stories and acceptance criteria.
• Prioritize tasks based on impact, feasibility, and business value to ensure efficient use of engineering capacity.
• Maintain and refine the data product backlog, promoting openness and coordination across teams.

Delivery & Coordination

• Work closely with 4-5 Data Engineers to lead delivery timelines, sprint planning, and achievement tracking.
• Partner with Solution Architects and Leads from other teams to ensure design decisions align with scalability and performance goals.
• Coordinate cross-functional dependencies between Data Engineering, Analytics, and Product teams.
• Collaborate closely with the Program Manager to align on delivery timelines and dependencies. While the Program Manager owns the overall roadmap, responsibility for delivery from an execution perspective will lie with the Technical Product Owner.

Data Platform Ownership

• Coordinate the delivery and maintenance of: Data Warehouse Management (Snowflake), Batch & Real-Time ETL Pipelines
• Ensure all data pipelines are reliable, performant, and aligned with defined SLAs.
• Advocate for data quality, consistency, and documentation across the DE ecosystem.

Collaboration

• Act as the primary liaison between business, analytics, data science, and engineering teams.
• Understand app-level business metrics, indicators, and reporting needs for the apps
• Communicate technical progress, blockers, and priorities clearly to non-technical team members.
• Facilitate sprint reviews, demos, and roadmap discussions to ensure transparency and alignment.

What we are looking for

• Experience as a Technical Product Owner or Data Product Manager in a data engineering or analytics environment.
• Solid understanding of data platforms and pipelines (batch and real-time ingestion).
• Hands‑on familiarity with: Snowflake (or equivalent cloud data warehouse), Looker (or other BI tools), Airflow, Pub/Sub, or similar orchestration and ingestion frameworks.
• Experience with data infrastructure monitoring and optimization.
• Strong communication skills.
• Ability to translate business goals into actionable technical requirements.
• Background in mobile apps, gaming, or digital analytics preferred.