Technical Product Manager (Data Platform)

Globalwebindex · Athens, GRmid

En corto

▸Gestionar y evolucionar una plataforma de datos moderna con tecnologías como BigQuery y dbt.
▸Dirigir migraciones de sistemas heredados manteniendo estabilidad en entregas a clientes.
▸Rol clave en el impacto directo en la velocidad y calidad de los datos para clientes y sistemas de IA.

Fluent English required

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

✓Experiencia previa en gestión de producto para plataformas de datos o infraestructura técnica.
✓Fluidez técnica en modelado de datos, orquestación (Airflow), transformaciones (dbt) y arquitectura de plataformas.
✓Capacidad para escribir historias técnicas y definir contratos de datos claros.
✓Experiencia trabajando con ingenieros de datos y equipos técnicos multidisciplinarios.
✓Habilidades probadas en gestión de stakeholders en ingeniería, investigación y liderazgo.
✓Conocimiento en calidad de datos, gobernanza, trazabilidad y cumplimiento (GDPR valorado).

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

BigQuerydbtAirflowAstronomerAPIsData ModellingData QualityData GovernanceData LineageGDPR

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Technical Product Manager (Data Platform) Location : Athens Weekly office requirement : Hybrid, 1 days/week Employment type : Permanent At GWI we’re always looking for extraordinary people who thrive on making an extraordinary impact. Right now we’re looking for a Technical Product Manager to play a key role in our Data Product team in London . If that’s you, and solving complex technical problems at scale gets you out of bed in the morning, keep reading. It could be the start of something, well, extraordinary. Sounds great, what will I be doing? 🤔 As our Technical Product Manager , you’ll sit within the Process pillar of the Data Product Team and own the evolution of our next-generation data platform. You’ll help shape the strategy and lead on the execution of how we ingest, process, validate, govern, and deliver high-quality consumer survey data at scale. This includes accelerating our migration from legacy pipelines into our modern data stack (BigQuery, dbt, Airflow/Astronomer), while ensuring near-zero disruption to client delivery. This role is critical to GWI’s future. Our Data Platform underpins everything we deliver to customers — from SaaS insights to APIs and AI integrations. Your work will directly impact how quickly new surveys reach clients, how reliably our data performs at scale, and how efficiently our internal teams operate. Specifically, you will: 👉 Product management experience in data platforms, data infrastructure, or highly technical B2B environments. 👉 Strong technical fluency — comfortable discussing data modelling, orchestration (e.g. Airflow), transformation frameworks (e.g. dbt), APIs, and platform architecture trade-offs. 👉 Experience working with modern data technologies such as Bigquery, Airflow, Astronomer. 👉 Ability to write technical user stories, with clear technical requirements and data contracts. 👉 Demonstrable experience working with Data Engineers. 👉Confident stakeholder management across engineering, research, operations, and leadership. 👉 Experience owning or contributing to platform migrations or large-scale architectural evolution is a plus. It’s also fun; we’re modernising core infrastructure in a live, revenue-critical environment. You’ll need to be comfortable making high-stakes prioritisation decisions, navigating legacy complexity, and leading through change as we scale. What do I need to bring with me? 🧳 You’ll need to demonstrate strong product capabilities in technical, data-intensive environments. This is a role with significant architectural and organisational influence. Here’s what the team will be looking for: 👉 Product management experience in data platforms, data infrastructure, or highly technical B2B environments. 👉 Strong technical fluency — comfortable discussing data modelling, orchestration (e.g. Airflow), transformation frameworks (e.g. dbt), APIs, and platform architecture trade-offs. 👉 Deep understanding of data quality, observability, governance, lineage, and compliance considerations (GDPR experience highly valued). 👉 Ability to define clear data contracts and scalable patterns rather than one-off solutions. 👉 Confident stakeholder management across engineering, research, operations, and leadership. 👉 Experience owning or contributing to platform migrations or large-scale architectural evolution is a plus. Equally important is attitude . We want people who think big (to make an impact), ask why (to find a better way), and show respect (to everyone, at every level, all the time). Those are our values, exe

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