Senior Manager - Data Engineering

Usercentrics; Lisboa; Presencial; EUR 90 000 - 130 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid working

Workcations

Team events on site

Resumo da oferta

Usercentrics is seeking a Senior Engineering Manager to lead and scale the Data Engineering function. You will own the data platform, drive DataOps strategy, and oversee integration with operational systems and third-party tools.

The role blends strategic leadership with hands-on data engineering expertise to deliver secure, reliable data pipelines and analytics-driven value. You will start by guiding a small team of data engineers and progressively build a broader DataOps/data platform

Qualificações

• Proven experience defining long term data platform and DataOps strategies.
• Hands-on background in data engineering to guide design decisions.
• Strong understanding of data integration patterns with operational systems and third party tools.
• Deep knowledge of data governance, security, and privacy concepts.
• Experience with observability and monitoring of data platforms.

Responsabilidades

• Lead a small data engineering team and scale to a broader DataOps organization.
• Define and own data warehousing strategy and technology stack.
• Architect integration of data platform with operational systems and third party tools.
• Set standards for data ingestion, quality, reliability and fault tolerance.
• Oversee governance, access control, retention policies, and auditability.

Conhecimentos

Data engineering

DataOps

Data platform

Architecture

Leadership

Stakeholder management

Ferramentas

APIs

CDC

Reverse ETL

Event-driven architectures

Descrição da oferta de emprego

SHAPE THE FUTURE OF PRIVACY WITH USERCENTRICS

Usercentrics is a global leader in data privacy and privacy-led marketing solutions. We believe there is no need for a trade‑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 data‑driven business and privacy‑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 are looking for a Senior Engineering Manager to lead and scale our Data Engineering function. This role has end to end ownership of the data platform and integration architecture. It combines strategic leadership with hands‑on expertise in data engineering, ensuring that our data ecosystem is secure, reliable, and optimized for business impact.
As Senior Engineering Manager, you will shape the long term DataOps strategy. Initially, you will oversee the modernization of our data platform and work closely with Engineering, Product, and Analytics to ensure optimal pipelines and reliable integrations with operational systems and third‑party tools. Over time, you will design and lead the evolution of the Data Platform to support advanced use cases such as ML Ops, Data Products, and real time analytics.

Your Tasks

Initially lead a small team of Data Engineers, providing hands on technical leadership, and progressively scale it into a full data platform team with clear ownership and operating model

Own the data warehousing strategy, including the technology stack, core architectural principles, and long term evolution

Define and lead the strategy and architecture for integrating the data platform with operational systems and third party tools, ensuring reliable, scalable, and well governed data flows across the organization.

Define standards for data ingestion and enrichment, covering reliability, data quality, and fault tolerance across batch and near real time pipelines

Lead the design and maintenance of foundational data layers that support multiple downstream use cases, including integrations, operational reporting, and advanced analytics

Ensure warehouse schemas, storage patterns, and partitioning strategies support performance, scalability, and cost efficiency across diverse workloads

Oversee the data platform governance, including access control, data classification, retention policies, and auditability, aligned with security and privacy requirements

Drive observability for pipelines, datasets, and integrations including freshness, volume anomalies, data quality signals, and cost monitoring

Enable the team to balance strategic priorities with operational excellence.

Proven experience defining long term data platform and DataOps strategies, translating business and technical requirements into scalable architectures

Hands on background in data engineering, with the ability to guide technical design decisions, review implementations, and unblock complex engineering problems

Deep understanding of data integration patterns with operational systems and third party tools, including APIs, event driven architectures, CDC, and reverse ETL use cases

Solid grasp of data quality, reliability, and fault tolerance principles, including idempotency, error handling, and recovery strategies

Experience designing and operating enriched data layers that support multiple downstream use cases across analytics, integrations, and advanced data products

Strong knowledge of data governance, security, and privacy concepts, including access control, data classification, retention, and auditability

Practical experience with observability and monitoring of data platforms, covering pipeline health, freshness, data quality signals, and cost awareness

Ability to lead and grow engineering teams, starting with a small group of data engineers and scaling into a broader data platform or DataOps team

Clear communicator with strong stakeholder management skills, able to align Engineering, Product, Analytics, and Business Systems around shared ownership and priorities

Comfortable operating in ambiguous environments, balancing short term delivery with long term platform evolution and architectural integrity

Experience defining operating models, ownership boundaries, and on call responsibilities for data platform teams

Don’t meet every single requirement? Studies have shown that women and people of colour are less likely to apply to jobs unless they meet every single qualification. At Usercentrics we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

• Joining Usercentrics means becoming part of a fast-growing, diverse and international team of tech enthusiasts and entrepreneurially-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 cross-department projects
• Your work-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‑to‑day work and at our regular team events on site in our offices in Munich, Copenhagen, Odense, Lisbon and Prague or online

Usercentrics

The Google-certified CMP empowering businesses to build trust through user privacy.

Usercentrics provides customizable consent and preference management solutions, enabling businesses to prioritize user privacy and trust in the evolving digital landscape.

Software Development Technology, Information and Internet Technology, Information and Media

Company size 201–500 employees

Company type Privately held Founded 2017

Total funding $25.2M Corporate Round

Team growth

Momentum

16% in 12 mo

380 employees on LinkedIn

Sep 21 Apr 26

Capital

Funding history

Series B - Full In$20.7M

Series A - Alstin Capital$4.4M

Jul 2019

Sep 2018