← back to jobs
> job detail
V
⚙️Data Engineer

Senior Data Engineer (Valencia, V, ES, 46002)

Volkswagen AG · Valencia, V, ES, 46002
// classified as
Data Engineer (Pipelines, infra, ingestion, ETL.)
posted
2d ago
location
Valencia, V, ES, 46002
languages
python
tools
aws, nosql, s3
> stack
pythonawsnosqls3
> description
<div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b></b></H2> </div><div><p>Annual gross salary range: Min. 45,000€ - Max. 75,000€, <span>depending on experience.</span> </p> <p>(Our salary bands include a team performance semestral bonus)</p> <p> </p> <p>Volkswagen Group Services is excited to present a fantastic opportunity to join our <strong>Volkswagen Digital:Hub </strong>in Spain. As part of the global Software Development Centre network in the Volkswagen Group, we constantly seek talented individuals ready to bring their unique skills to our projects.</p> <p>Our start-up environment is collaborative, innovative, and open to new ideas. We strive to cultivate a work culture that encourages individual growth, team empowerment, and project excellence. We value respect, teamwork, and the common purpose that binds us as a group. If you're ready to thrive in a dynamic start-up environment and be part of our family, supported by one of the largest companies in the world, we invite you to read further.</p> <p> </p> <p><strong>About the Team and the Hub:</strong></p> <ul style="list-style-type:disc"> <li>Our culture is centered around fostering individual growth and team empowerment within a flexible and supportive environment.</li> <li>We prioritize respect, teamwork, and inclusivity, recognizing and valuing the unique contributions of each member.</li> <li>We embrace a work-life balance philosophy and encourage continuous personal and professional development</li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b></b></H2> </div><div><p><strong>Responsibilities:</strong></p> <p> </p> <p>Designing and Building Data Pipelines</p> <ul> <li>Design, build, and maintain scalable data pipelines that ingest data from external systems, transform it, and load it into noSQL databases.</li> <li>Define and evolve transformation logic to ensure data quality, consistency, and schema alignment across heterogeneous source systems.</li> <li>Analyze and understand external system interfaces to inform integration design and anticipate upstream changes.</li> </ul> <p>Data Modeling and Design</p> <ul> <li>Design and maintain document-oriented data models, ensuring they support current and future business requirements.</li> <li>Create and maintain data model visualizations to support cross-team alignment and architectural documentation.</li> </ul> <p>Ensuring Data Quality and Reliability</p> <ul> <li>Implement validation, monitoring, and alerting across the pipeline to ensure data integrity and early detection of failures.</li> <li>Establish and enforce data governance practices, including handling of sensitive data in line with compliance requirements.</li> <li>Design and maintain strategies for anonymizing production data and synthesizing test data to enable safe, realistic testing environments.</li> </ul> <p>Driving Technical Quality</p> <ul> <li>Write clean, well-tested, and maintainable code; review peers' contributions and uphold engineering standards across the team.</li> <li>Optimize pipeline performance for large-scale data processing, balancing throughput, latency, and cost.</li> </ul> <p>Collaborating within the ART</p> <ul> <li>Work closely with product management and engineering teams to translate business requirements into data pipeline solutions.</li> <li>Contribute to architectural discussions and technical decision-making within the Agile teams.</li> <li>Mentor junior team members and help improve development workflows and practices.</li> </ul> <p> </p> <p><strong>Requirements:</strong></p> <ul> <li>Degree in Computer Science, Data Engineering, or equivalent experience.</li> <li>5+ years' experience in data engineering, with a focus on streaming and batch data pipelines.</li> <li>Strong proficiency in Python and/or Kotlin/Java.</li> <li>Hands-on experience with streaming (e.g. Kafka) and NoSQL databases (e.g. MongoDB or DocumentDB).</li> <li>Experience with AWS cloud services - including Lambda, GlueJobs, Eventbridge, S3 and CDK.</li> <li>Solid understanding of data modeling for document-oriented databases.</li> <li>Familiarity with CI/CD pipelines and DevOps practices in a cloud-native environment.</li> <li>Experience working in Agile/SAFe environments is a plus.</li> <li>Strong communicator, comfortable working with both technical and non-technical stakeholders.</li> <li>Fluent English; Spanish and/or German proficiency is a plus.</li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b></b></H2> </div><div><p><strong>What we offer:</strong></p> <ul style="list-style-type:disc"> <li>Fully remote work capability, with an option to work from our office when needed.</li> <li>Access to professional development tools and free language courses.</li> <li>Flexible working hours to accommodate personal and professional needs.</li> <li>A competitive holiday package and access to a variety of employee discounts.</li> </ul> <p> </p> <p>Join us at Volkswagen Digital:Hub to advance your career in a role where your administrative skills will directly contribute to the success and smooth operation of our innovative projects.</p> <p>For more information on our data processing activities and your rights as a data subject, please consult our <a href="https://www.linkedin.com/safety/go/?url=https%3A%2F%2Fwww%2Evolkswagen-groupservices%2Ept%2Fen%2Fprivacy-policy&amp;urlhash=czI4&amp;isSdui=true" target="_blank" rel="noopener">privacy policy</a>.</p> <p> </p> <p>Ref: Level C</p></div></div></div>