Data Engineer - Stratio Automotive This website uses cookies to ensure you get the best experience. Stratio Automotive and our selected partners use cookies and similar technologies (together “cookies”) that are necessary to present this website, and to ensure you get the best experience of it. If you consent to it, we will also use cookies for analytics and marketing purposes. See our Cookie Policy to read more about the cookies we set. You can withdraw and manage your consent at any time, by clicking “Manage cookies” at the bottom of each website page. Accept all cookies Decline all non-necessary cookies Cookie preferences Select which cookies you accept On this site, we always set cookies that are strictly necessary, meaning they are necessary for the site to function properly. If you consent to it, we will also set other types of cookies. You can provide or withdraw your consent to the different types of cookies using the toggles below. You can change or withdraw your consent at any time, by clicking the link “Manage Cookies”, which is always available at the bottom of the site. To learn more about what the different types of cookies do, how your data is used when they are set etc, see our Cookie Policy . Strictly necessary These cookies are necessary to make the site work properly, and are always set when you visit the site. Vendors Teamtailor Analytics These cookies collect information to help us understand how the site is being used. Vendors Teamtailor Marketing These cookies are used to make advertising messages more relevant to you. In some cases, they also deliver additional functions on the site. Vendors Youtube Accept these cookies Decline all non-necessary cookies Skip to main content common--header--menu#toggle" data-common--header--menu-target="button" > Career menu Start Jobs Employee Log in as employee Candidate Log in to Connect Share page Facebook X LinkedIn Mail Artificial Intelligence · Portugal · Fully Remote Data Engineer APPLY HERE Data Engineer (f/m/d) Your contribute to a #zerodowntimefuture 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. As Data Engineer you will 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. This is what we believe is needed for this role 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 you According 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: 35-45k€ 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) #LI-Remote 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. What you can expect from the recruitment Screening call with HR 1st Interview (1h) HR and Hiring Manager We want to get to know you better and navigate through your experience, skills and motivation. Take home code test AI Team Members We will send you a code test for you to work offline. Our AI team will review it, and it will trigger the technical interview if a good assessment is made. Technical Interview (1h) AI Team Members Deep dive into the code test outputs. Deep dive into your skills and assessment of your technical knowledge. Cultural Fit Interview (1h) Heaf of People and Hiring Manager Validate the cultural fit between you and Stratio and make sure you’re the person we’re looking for to help us build a #zerodowntimefuture. Hiring Proposal References may be required at any stage of the recruitment process. About Stratio Stratio is the World’s Leading Real-time Predictive Fleet Maintenance Platform. The company's proprietary technology combines large-scale processing with the latest machine learning techniques to prevent hundreds of thousands of breakdowns from happening every day, thus saving millions of people from the hassle of public transportation delays, postponed deliveries, or late arrival of essential goods. Stratio’s platform enables zero downtime for 5 of the 10 largest transportation companies in the world and, in 2021, raised an investment of $12 million to boost leadership in predictive fleet maintenance. Fleet operators in Europe, North America, Asia-pacific, and Latin America trust Stratio’s technology to fully leverage the data under the hood to safeguard operations, and keep customers happy. Stratio’s technology has enabled transportation for 1.3 billion people so far. We want inspiring individuals in our teams, where age, race, gender, sexual orientation, politics and religion do not matter, and seek to create a tolerant and open space for everyone. We thrive to provide an inclusive and trustworthy environment. You can find our Culture Manifesto and more team information here . Take the road with us! Department Artificial Intelligence Role Data Engineer Locations Portugal Remote status Fully Remote Employment type Full-time Employment level Mid-Senior Level Contact Cristiana Camejo People Ops – People Colleagues Cristiana Camejo People Ops Hugo Valentim Director of Engineering APPLY HERE Artificial Intelligence · Portugal · Fully Remote Data Engineer Loading application form Start Jobs Data & privacy Manage cookies Employee login Candidate Connect login Applicant tracking system by Teamtailor
Location
Remote
Last stage
Series A
Investors
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.