About the Data Engineer role

As a Data Engineer, you will have the opportunity to collaborate with a leading European mobility services provider, backed by nearly 90 years of expertise. As part of this journey, you’ll contribute to the launch of a new Tech Hub in Portugal, helping to drive innovative, technology-led solutions that are transforming how businesses move while contributing to a more sustainable future.

Key Responsibilities as a Data Engineer

Build and maintain batch, CDC, and streaming data pipelines across SAP, Kafka, APIs, and databases.
Develop scalable data solutions using Azure Data Factory, Databricks, Spark, SQL, and Delta Lake.
Implement data quality, monitoring, observability, alerting, and data contract controls.
Optimize pipeline performance, cost efficiency, and security through Unity Catalog.
Contribute reusable frameworks, CI/CD processes, and data engineering best practices.
Collaborate with DataOps, ML Engineering, AI, Analytics Engineers, and cross-functional teams.
Deliver trusted, curated data to support analytics and AI products.
Participate in code reviews and support continuous improvement initiatives.
Good understanding of end-to-end data engineering, data quality, and data lifecycle management.
Experience working with data contracts, stakeholder collaboration, and analytics-driven use cases.
Experience with SAP, high-volume transactional data, and data mesh principles (nice to have).

Job Qualifications

Proficiency in Python or Scala and SQL for production data pipelines.
Practical experience with Spark, Delta Lake and Databricks, including basic performance optimisation.
Experience with batch pipelines and at least one of change data capture or streaming patterns.
Practical experience with Azure data services, including Azure Data Factory.
Experience with automated data-quality testing and pipeline monitoring.
Working knowledge of Git, CI/CD and code review.
Working knowledge of Unity Catalog or comparable data-governance and access-control tooling.
Confluent Kafka, Spark Structured Streaming or comparable streaming frameworks (nice to have).
SAP S/4HANA, BW and Business Data Cloud extraction and data structures (nice to have).
Document processing, embeddings and vector indexes for AI retrieval (nice to have).
Strong English (international working environment).

Wondering what happens after you apply? See how our recruitment process works.

Perks & benefits

Health Insurance

We’ve got your health and smile covered! Our comprehensive plan includes medical and dental care. Because taking care of you means you can focus on what matters most.

Birthday Off

Who likes to work on their birthday, right? Celebrate your day exactly how you want to. Sleep in, go out, or do absolutely nothing – it’s your call.

Extra Days Off

Ramp up your vacations with up to 4 extra off-days per year. Whether you need a long weekend or a proper getaway, we believe rest fuels your best work. Time off isn’t a perk – it’s essential.

Blue Wildlife Pledge

We’ll sponsor an animal of your choice at the Lisbon Zoo for the duration of your stay with us! It’s our way of giving back to nature while giving you something meaningful to connect with. Visit your animal anytime you like.

Regular Training

We want to invest in your skills and help you grow. From certifications to workshops, we support your learning journey. Your development is our priority, not an afterthought.

Great Work-Life Balance

Work for the goals, not for the clock. We trust you to manage your time and deliver results. Flexibility isn’t just a buzzword here – it’s how we operate.

Excellent Work Environment

No back-stabbers, no bad apples, and no suits! We’ve built a culture of respect, collaboration, and honesty. Come as you are and work with people who have your back.

Team-Building Events

Get ready for some cool events, parties, and hangouts. We bond over more than just deadlines and deliverables. Great teams are built on great memories together.

Free Coffee & Tea

To keep creativity and productivity flowing… All-Day, No-Limit of freshly brewed coffee & tea refills at the office.

Be Bold · Work Smart · Change Tomorrow

We started this company with a simple observation: most organizations don’t struggle because they lack technology — they struggle because solutions are too complex, disconnected from reality, or hard to sustain over time. Data and AI can create enormous value. But only when they are designed with clear intent, solid foundations, and a realistic understanding of how organizations actually operate. We’re a young, fast-growing company with plenty of opportunities to learn, evolve, and build something meaningful together.