Data Engineer

Data Engineer - Data Ops (f/m/d)As a Data Engineer, you will build and operate scalable infrastructure for Data, Machine Learning, and Analytics.
You will develop and maintain reliable batch and real-time data pipelines, and implement data-intensive services that support analytics, machine learning, and business intelligence workloads.
In this role, you will work closely with Data Scientists to take models from experimentation to production, ensure that data is reliably stored and accessible in our Lakehouse, and enable other teams to make data-driven decisions.
You will be part of our AI team, which creates robust and innovative solutions that increase the value, efficiency and reliability of our AI‐based predictive analytics.
Responsibilities
Design, build, and maintain batch and real‐time data pipelines.
Set up, operate, and improve Machine Learning and Analytics infrastructure.
Support Data Scientists in deploying, monitoring, and maintaining models in production.
Develop data processing services and internal tools for ingestion, transformation, and validation.
Implement monitoring, logging, and alerting for data systems and pipelines.
Required Qualifications
Degree in Computer Science, Software Engineering, or a related field.
3+ years of experience as a Data Engineer, Software Engineer, or in a similar role.
Strong experience with Linux-based systems, containerization, and orchestration (Docker, Kubernetes).
Strong experience with distributed data processing (Spark, Trino, Flink, Kafka) and open table formats (Delta, Iceberg).
Proficiency in Python for data processing development.
Experience building and maintaining batch and/or real-time pipelines.
Experience with SQL and data modeling for analytics and BI use cases.
Ability to work collaboratively in cross‐functional teams and strong problem‐solving skills.
Fluency in English.
Bonus Points
Understanding of JVM‐based systems and tooling, particularly in the context of Spark.
Experience working in hybrid environments (on‐prem and cloud, especially AWS).
Familiarity with CI/CD practices for data and ML systems.
Experience with MLOps or model lifecycle management.
What We Expect From YouAccording to our internal progression framework, these are some of our expectations for this role:
Understands how their scope of responsibilities relate to others in the team.
Uses company and team resources efficiently.
Broadly autonomous but relies on more senior people for complex decisions.
Performs complex or larger projects/tasks independently.
Has knowledge in the defined tools, methodologies and frameworks relevant to the role.
Contributes to large projects, and owns their own scope of work towards global improvements/achievement.
Has the capacity for presenting own ideas with pro‐active contributions.
Has the ability to adapt to new implemented tools/technologies.
Suggests and implements new processes that can drive the role and/or department success.
Produces clear, reliable documentation.
Can anticipate some problems and assess risk in some complex situations.
Shows initiative through asking questions proactively and learning.
Supports the integration and onboarding of new team members in their team.
What We Offer
Annual Gross Salary Band for the role: *k€
Health Insurance to you and your children;
Fringe Benefits Policy (for Portugal located workers);
Flexible Work Hours - adjust your schedule to your needs;
22 vacation days, plus up to 3 extra time off days according to your tenure;
Work Setup - remote, hybrid, onsite - if your job can be done remotely, and you prefer to, you're free to choose;
Hardware and software for a full remote setup;
Quarterly Events to discuss Strategy;
Autonomy and Ownership Culture;
Continuous feedback culture;
Innovation Mindset;
Career Acceleration.
Location
Remote / Hybrid / Coimbra (Portugal)
This role can be performed remotely in Portugal, or hybrid/office in Coimbra, Portugal.
No matter the setup you choose we expect you to be available to work in our Coimbra office once a month.
This regularity is an average and should be adjusted to your and company needs.
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