DataOps Manager Lisboa

DataOps 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 a team of Data Engineers and Analytics Engineers
• Drive the full ELT / ETL process, including ingestion (Airbyte), transformation (dbt), and orchestration (Orchestra)
• Lead the migration from Azure to Big
  Query, ensuring stability and scalability throughout
• Maintain a strong focus on data quality, governance, lineage, and security
• Monitor and optimize data platform performance and
  - efficiency
• Define and implement clear, versioned, and documented business logic
• Collaborate closely with Product, Engineering, Analytics to unlock value from data
• Support and structure tracking instrumentation and event data modeling (Amplitude, Segment, etc. )
• Prepare data for AI and ML applications in collaboration with
  - functional teams
• Champion excellent documentation and observability practices
• Act as a connector between technical implementation and business context, helping teams understand how data flows, what it means, and how to use it responsibly
• Help shape hiring, career development, and ways of working within the Data
  Ops team
  
  

You Bring

• Proven experience leading Data
  Ops, Data Engineering, or Analytics Engineering teams
• Deep
  - on experience with data pipelines, orchestration, warehousing, and ELT architectures
• Strong technical skills with Big
  Query, Airbyte, Orchestra, and dbt
• Experience with Azure Data Stack and migrating to modern cloud data platforms
• Strong operations mindset — you think in terms of stability, SLAs, monitoring, and process excellence
• Track record of defining and maintaining clear business rules and transformation logic
• Passion for documentation and building reproducible, transparent data systems
• Excellent communication skills — able to speak both the language of engineers and business stakeholders
• Background in Saa
  S or
  - led environments is a big plus
• Familiarity with tracking frameworks and product analytics data (Amplitude, Segment, etc. ) is a plus.
• Experience supporting AI and ML data readiness, and excitement for AI-powered use cases
  
  

Nice to have:

• Experience with data observability and testing frameworks (e. g. Great Expectations, dbt tests, Monte Carlo)
• Familiarity with data governance, privacy regulations, and consent data flows
• Prior exposure to data democratization and building
  - serve data environments
• Experience working with Business Intelligence tools (e. g. Power BI, Metabase, Looker)
  
  

Why join Usercentrics?

• Joining Usercentrics means becoming part of a
  - growing, diverse and international team of tech enthusiasts and
  - minded who build our success story together
• Company culture is important to us - we strive to continuously develop a positive, vibrant and inspiring environment that enables everyone to thrive both personally and professionally
• Get involved! We have plenty of initiatives and love to see people from all department enthusiastically participating and shaping our future together in different
  - department projects
• Your
  - life balance is important to us too - we offer flexible working hours, hybrid working and the possibility of workcations (in accordance with our company policy)
• We always remember to have fun along the way, both in our
  -
  - day work and at our regular team events on site in our offices in Munich, Copenhagen, Odense, Lisbon and Prague or online
• You are the most valuable asset to our company which is why we’re happy to offer awesome benefits like our personal development budget,
  - related language courses and a lot more (depending on your location) to focus on your well being
  
  

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.

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