Data Engineering Manager Lisboa

Data Engineering Manager
Lisboa
Lisboa, Lisboa, Portugal

Location

Hybrid from Lisbon office

SHAPE THE FUTURE OF PRIVACY WITH USERCENTRICS

Usercentrics is a global leader in data privacy and
- led marketing solutions. We believe there is no need for a
- off between growth and privacy compliance. Our vision is to unlock the potential of data privacy to empower a thriving digital ecosystem. We work with companies to create a healthy balance between
- driven business and
- led marketing for every size of enterprise. Our customers build trust with their users through improved transparency and control to drastically improve marketing and monetization, while achieving full privacy compliance.

We're looking for a Data
Ops Manager to lead our Data Engineering and Analytics Engineering teams. This role sits at the heart of our Operations organization, ensuring our data platform is secure, reliable, scalable, and
- efficient.

You'll own the full ELT / ETL lifecycle, lead the Azure-to-Big
Query migration, and build systems that transform raw data into trusted, accessible, and
- ready assets. The role requires a strong operations mindset, with a focus on process reliability, performance, security, cost control, and clear accountability.

You'll also play a vital role in defining business logic, promoting documentation best practices, and acting as a bridge between technical and business stakeholders — enabling data products that are trustworthy,
- understood, and impactful.

Your Tasks

• Lead and mentor Data and Analytics Engineers
• Own the full ELT stack (Airbyte, dbt, Orchestra)
• Drive the Azure-to-Big
  Query migration
• Ensure platform stability, performance, and
  - efficiency
• Define and document key data transformations and business logic
• Collaborate with
  - functional teams to deliver
  - quality data products
• Promote best practices in data governance, observability, and documentation

You Bring

• Experience leading technical data teams (Data
  Ops, Engineering, or Analytics Engineering)
• Strong
  - on experience with modern data stacks (Big
  Query, Airbyte, dbt)
• Background in data architecture, pipelines, and cloud migration
• Solid understanding of data quality, lineage, and governance
• Clear communicator who can work across business and technical teams
• Bonus: experience with tracking tools (Amplitude, Segment) or AI/ML data readiness

About Us

We are driven by our values #Be
Brave, #Better
Together, #Leadby
Example, #Innovate
With
Purpose, #Passion
For
Privacy, #Give
Back and #Come
As
You
Are. They show what we believe in and how we work. They help make our team special and guide us in everything we do. They're the heart of our company and inspire us to do our best every day.

We strive to create a diverse, equitable, and inclusive environment (DEI) where everyone feels valued, respected, and empowered to reach their full potential. We believe that our different backgrounds, experiences, and perspectives are our greatest strengths — so we are committed to building with them as we foster innovation and drive our success.

We recognize that this is an ongoing journey. We commit to listening and to continuous learning, growth, and improvement. By embracing DEI principles, we will create a more just and equitable society, and we are proud to play our part in making this vision a reality.

We are #Better
Together.