Senior Data Platform Engineer Vacancy at MOIA in Germany

Job Description

<p>International career opportunities in cutting-edge technology sectors continue to attract experienced software and data professionals from across the globe. MOIA, an innovative mobility company operating in the field of autonomous transit and ride-pooling services, has announced an opening for a <strong>Senior Data Platform Engineer at MOIA</strong>. This position is embedded within the organization's Data Lake Platform team and offers an opportunity to work at the intersection of large-scale data engineering, cloud architecture, and modern transportation systems. The vacancy is open to qualified candidates of all genders and is based in Berlin and Hamburg, Germany. For tech professionals aiming to build high-performance data systems in Europe, this role presents a compelling career prospect.</p><h2>Understanding the Senior Data Platform Engineer Role at MOIA</h2><p>The Data Lake Platform team at MOIA plays a pivotal role in enabling data-driven decision-making, predictive analytics, and automated operations across autonomous fleet networks. As a Senior Data Platform Engineer, the selected professional will be responsible for designing, maintaining, and scaling robust data infrastructure that ingests, processes, and stores massive volumes of telemetry and operational data.</p><p>In modern urban mobility networks, real-time data streams and reliable historical storage systems are critical to safe, efficient fleet management. The engineer will collaborate closely with data scientists, machine learning experts, software developers, and business intelligence teams to ensure seamless data flow across the enterprise. Building resilient pipelines, optimizing distributed computing clusters, and implementing modern data governance standards form the core of this engineering responsibility.</p><h2>Core Responsibilities and Technical Scope</h2><p>Candidates considering this position should possess a strong foundation in modern cloud computing environments, distributed systems architecture, and automated platform management. Key responsibilities associated with this senior engineering role typically include:</p><ul><li><strong>Infrastructure Engineering:</strong> Designing and deploying scalable, fault-tolerant data lake architectures on modern cloud platforms.</li><li><strong>Pipeline Optimization:</strong> Building high-throughput batch and real-time streaming pipelines to process complex operational datasets efficiently.</li><li><strong>Automation and Infrastructure as Code:</strong> Implementing CI/CD processes, containerization, and automated provisioning to streamline platform maintenance.</li><li><strong>Data Reliability and Security:</strong> Ensuring high availability, data quality, robust access controls, and compliance standards across enterprise storage systems.</li><li><strong>Cross-Functional Collaboration:</strong> Partnering with product managers and domain specialists to build platform features supporting autonomous vehicle software and fleet operations.</li></ul><h2>Eligibility Criteria and Skills Required</h2><p>To qualify for this senior position, applicants are expected to demonstrate substantial industry experience in software development and data platform architecture. A solid academic background in computer science, software engineering, information technology, or a related quantitative field provides a strong foundation, though equivalent practical software engineering experience is highly valued.</p><p>Applicants should have proven mastery in programming languages commonly utilized in data engineering, such as Python, Scala, Go, or Java. Advanced expertise in SQL database management, NoSQL systems, and distributed object stores is essential for managing the underlying architecture of a modern data lake. Furthermore, experience with software engineering best practices—including unit testing, code reviews, architectural documentation, and agile development methodologies—is vital for delivering maintainable systems at scale.</p><p>Since the position is located in Germany (Berlin or Hamburg), candidates applying from international regions should ensure they research legal requirements for international employment and work visa eligibility. Strong professional communication skills in English are required, as the operational language within international technology teams in Germany is typically English.</p><h2>Work Environment and Geographic Context</h2><p>MOIA offers flexible location arrangements between two major technology hubs in Germany: Berlin and Hamburg. Both cities are renowned for vibrant technology ecosystems, competitive compensation frameworks, and high quality-of-life standards. Working on autonomous mobility solutions places engineering personnel at the forefront of modern transportation innovation, directly impacting how future urban transit systems function.</p><p>The engineering culture emphasizes ownership, continuous learning, modern DevOps practices, and collaborative problem-solving. Joining a specialized team within the Data Lake Platform division allows senior engineers to influence technical roadmaps and mentor team members while tackling complex technical challenges at scale.</p><h2>Application Process for International Candidates</h2><p>Prospective candidates interested in pursuing this career opportunity should prepare a comprehensive job application that highlights relevant work accomplishments, technical skills, and key platform engineering projects. Follow these steps when preparing your submission:</p><p>1. Prepare an updated Curriculum Vitae (CV) formatted clearly in English, highlighting technical tools, cloud platforms, and data infrastructure achievements.</p><p>2. Draft a focused cover letter explaining your professional interest in autonomous mobility and how your background aligns with data platform engineering requirements.</p><p>3. Compile portfolio links, GitHub repositories, or technical project summaries that showcase your practical experience with distributed systems and data engineering.</p><p>4. Access the official MOIA career portal or authorized recruitment platforms to submit your application directly online.</p><h2>Important Verification Notice</h2><p>Applicants are strongly advised to independently verify all job specifications, official job titles, location flexibility, salary benchmarks, and visa support policies directly on the official MOIA careers website before submitting personal documents. Requirements, application deadlines, and specific role responsibilities are subject to update by the hiring organization.</p> <p><em>Source: <a href="https://www.arbeitnow.com/jobs/companies/moia/senior-data-platform-engineer-all-genders-data-lake-platform-berlin-hamburg-58977" target="_blank" rel="noopener nofollow">Arbeitnow Job Board</a></em></p>

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How To Apply

1. 1Apply online at https://www.arbeitnow.com/jobs/companies/moia/senior-data-platform-engineer-all-genders-data-lake-platform-berlin-hamburg-58977