TL;DR

Director Of Dataops: Leading and scaling Data Engineering and Analytics Engineering functions with an accent on data modeling, data platform modernization, and cloud migration. Focus on designing scalable data models, optimizing ELT pipelines, and ensuring data quality and governance in a SaaS B2B environment.

Location: Hybrid in Lisbon with minimum 2-3 days a week from the office

Company

%hirify_global% is a global leader in data privacy and privacy-led marketing solutions, empowering businesses to balance data-driven growth with privacy compliance.

What you will do

Define and execute the DataOps vision and roadmap aligned with business strategy.
Lead development of scalable, business-oriented data models reflecting company KPIs.
Oversee ELT pipeline design and Azure-to-BigQuery migration.
Ensure data governance, transparency, and trust in core data assets.
Collaborate with Product, Engineering, and BI teams to ensure accurate data modeling and tracking.
Mentor and grow Data and Analytics Engineers fostering a high-performance culture.

Requirements

Location: Must be able to work hybrid in Lisbon office
Proven leadership experience at Manager or Director level in DataOps or Analytics Engineering.
Strong hands-on expertise in data modeling and modern data stacks (BigQuery, Airbyte, dbt).
Experience in SaaS B2B environments with knowledge of SaaS metrics.
Excellent communication and stakeholder management skills.
Knowledge of tracking platforms or AI/ML data preparation is a plus.

Culture & Benefits

Fast-growing, diverse, and international tech-focused team.
Positive and inspiring work environment supporting personal and professional growth.
Flexible working hours, hybrid work, and workcation options.
Regular team events onsite and online.
Personal development budget and job-related language courses.