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Senior Manager - Data Engineering (m/f/d)

Usercentrics -
Lisboa

Candidatura rápida

Detalhes da oferta

Período Integral

Descrição completa da oferta

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.

Requirements

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.

Benefits

Why join Usercentrics?

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

Candidatura rápida

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full stack developer vagas para: algés

Senior Manager - Data Engineering (m/f/d)

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