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Primetag - Data Platform Engineer

Damia
Remoto

Candidatura rápida

Detalhes da oferta

Período Integral

Descrição completa da oferta

Primetag is currently hiring a Data Platform Engineer to join their amazing team

About the company:

Primetag is a fast-growing SaaS company in the influencer marketing analytics space.

They help global brands and agencies make data-driven decisions about their influencer strategies,

powered by our proprietary platform and market-leading database of over 3 billion content pieces across 50+ markets.

Their clients rely on them to simplify, scale, and optimize their influencer marketing operations.

Role Overview

They’re looking for a Data Platform Engineer to join the Core team at Primetag. The Core team owns our data foundations, backend systems, and shared infrastructure that power all products, analytics, and AI capabilities. You’ll work closely with Product, Backend, AI/R&D, and Analytics teams to turn research initiatives and experimental data work into production-ready, scalable systems.

You will not just manage databases; you will build the abstraction layer that powers our interfaces and AI models.

This is a senior, hands-on role for someone who views Data Infrastructure as a product.

You will define how billions of records are structured, indexed, and exposed to the rest of the company. Ideal for someone who combines strong backend engineering skills with deep expertise in data platforms, data lakes, and large-scale data systems.

Key Responsibilities

Database Reliability & Scaling:
- Own the health and performance of our core databases.
- Own and optimize our MongoDB clusters and OpenSearch indexes, which houses billions of documents. You will design sharding strategies and indexing patterns to ensure search performance.
- Design and implement a multi-tier storage strategy. You will determine which data remains "hot" in production databases for our Product team and which data is offloaded to "cold/analytical" storage for AI and R&D.
Data Access Layer:
- Build and maintain internal APIs that allow internal teams to build features without worrying about the underlying database complexities.
Schema Evolution & Migrations:
- Lead the strategy for updating data structures across billions of records. You will design "no-downtime" migration paths for our production MongoDB and OpenSearch environments.
Data Platform & Architecture
- Own and evolve our Core Data Architecture, ensuring it supports analytics, product features, AI workflows, and internal consumption.
- Evaluate the feasibility and ROI of introducing a Data Lakehouse architecture for long-term storage and AI training.
- Define standards for how data is ingested, stored, versioned, and exposed to downstream systems.
Data Quality & Documentation:
- Ensure data accuracy, freshness, and consistency through validation and testing.
- Maintain clear, up-to-date documentation of pipelines, schemas, and data assets to enable internal adoption.
Collaboration:
- Act as a bridge between Core, Product, and R&D, ensuring research initiatives (e.g. data enrichment) are integrated into the Core platform.
- Translate business and product needs into scalable, maintainable data solutions.
- Comfortable working in async-first environments, keeping task statuses and documentation up to date for full team visibility.

What They’re Looking For

5+ years of experience in Backend, Data Engineering and/or Data Platform roles, specifically within high-concurrency/high-volume environments.
NoSQL & Search Expert. Professional experience tuning MongoDB and OpenSearch/Elasticsearch at massive scale (sharding, cluster topology, query optimization).
Strong Python Skills. Proficiency in writing production-grade, highly efficient Python. Experience with asynchronous programming (FastAPI, etc.) for building high-performance Internal APIs is essential.
System Design & Architecture. A strong grasp of distributed systems, including eventual consistency, message queues (Kafka/RabbitMQ), and caching strategies to protect production databases.
Strategic Storage Thinking. Familiarity with Data Lakehouse concepts (e.g., Parquet, Delta Lake, Iceberg). Proven experience building one.
Excellent communication skills and attention to documentation.
Self-managed and comfortable working cross-functionally.
Fluent in English.
Tax residency in Portugal is a must for this position.

Bonus Points

Experience with Azure Cloud services or equivalent.
Experience with orchestration tools like Airflow, Prefect , or similar.
Exposure to AI/ML workflows or supporting AI teams with data pipelines.
Knowledge of Data Observability tools to monitor data quality and indexing lag at scale.

Benefits

Competitive salary and other social benefits
Opportunities for growth and professional development
Workplace: Remote, with the possibility of using our Nomad Offices (our next location is in Greece)
Schedule: Flexible, with the requirement to ensure a minimum of 4 hours of overlap with the normal working hours in Portugal (9 am-6 pm)
A curious, collaborative, and forward-thinking team.
Primetag is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees.

Want to know more? Get in touch with us

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senior product vagas para: remoto

Primetag - Data Platform Engineer

Head of Engineering

Regulatory Reporting Manager (Resolution)

Data Platform Engineer

Data Scientist (Risk)

Treasury Capital Manager - Western Europe

Data Scientist (Credit)

Head of Regulatory Compliance

Model Risk Manager

Principal Statistical Programmer (European Timezone Only)

Lead Product Designer

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