(Junior) Legal Engineer & Privacy Consultant (m/f/d)

DataGuard

YOUR JOB Are you excited by the idea of combining privacy, compliance and AI to solve real business challenges? Do you want to go beyond traditional consulting and help shape the next generation of technology enabled compliance? As a (Junior) Legal Engineer & Privacy Consultant, you advise clients on data protection and compliance while identifying opportunities to leverage AI, automation and Legal Tech solutions. Sitting at the intersection of law, technology and business, you help turn regulatory complexity into scalable, practical and future ready solutions. WE PROTECT THE PEOPLE BEHIND THE DATA We are a fast-growing security and compliance tech company with a clear purpose: we protect the people behind the data. With over 200 team members worldwide and with offices in Munich, Berlin, London, Stockholm, and Vienna, we help more than 4,000 global customers get certified fast and build a strong and scalable risk posture. With AI-powered automation, self-serve capabilities, and additional tailored expert advice, we offer our customers a seamless security and compliance experience to stay ahead of the rapidly evolving security landscape and challenges like the surge in cyber-attacks. WHAT YOU'LL BE DOING Privacy & Compliance Consulting * You advise and support clients on data protection, combining privacy expertise with smart use of our AI-powered platform. * You recommend and implement appropriate compliance measures, guiding clients to use DataGuard as their central privacy hub. * You design and roll out data protection policies and procedures that are efficient, scalable and sustainable. * You conduct data protection impact and risk assessments, leveraging automation to improve speed, clarity and consistency. * You contribute to platform and service development by sharing customer feedback and collaborating across teams. AI & Legal Tech * You identify opportunities to automate legal, privacy and compliance workflows. * You build and improve AI powered assistants, workflows and automations that enhance consulting outcomes. * You explore emerging AI tools and technologies and evaluate their practical business impact. WHAT YOU'LL GET IN RETURN * Steep learning curve with hands-on responsibility from day one * Close mentoring and strong support from experienced privacy consultants * Exposure to a wide variety of clients, industries and real-world use cases * Structured onboarding and continuous learning opportunities * Training budget and support for relevant certifications * High visibility across teams and insights into Product and Engineering * A collaborative, supportive team that values curiosity and growth * The chance to shape your career path as you grow with the company THE QUALITIES YOU'LL NEED FOR A SUCCESSFUL CAREER AT DATAGUARD * You hold a degree in Law, Business Law or a related field. * You have gained first experience in privacy, compliance, consulting or Legal Tech, whether through internships, working student roles or full time positions. * You are curious about AI, automation and emerging technologies and have worked with tools such as ChatGPT, Claude and/or Microsoft Copilot. * You ideally have first exposure to APIs, n8n, Make or other low code tools. * You bring a structured, analytical and solution oriented mindset. * You enjoy working with customers and translating complexity into practical outcomes. * You are native-level fluent in German and comfortable working in English. LAST BUT NOT LEAST. FROM THE BOTTOM OF OUR HEARTS: No matter your origin, ethnicity, gender identity, religion or individual requirements; at DataGuard, all that counts is the person you are. As Guards and Guardettes, we are united not only by our dedication, but also by our shared belief in our purpose: Protect the people behind the data. Convince us with your personality and your skills – and together we will make great things happen. We are looking forward to meeting you! #LI-DNI

STARK

ABOUT US STARK is a new kind of defence technology company, revolutionizing the way autonomous systems are deployed across multiple domains. We design, develop and manufacture high-performance unmanned systems that are software-defined, mass-scalable, and cost-effective. This provides our operators with a decisive edge in highly contested environments. We’re focused on delivering deployable, high-performance systems. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe. YOUR MISSION As a Flight Test Engineer, you are the "Conductor of the Flight Line." Depending on your seniority, you will be responsible for the end-to-end lifecycle of our flight test campaigns, from initial planning and hazard assessment to execution and deep-dive data analysis. Beyond the technical data, you serve as the primary Onsite Leader. You are the person who ensures testing priorities are crystal clear to everyone on the range. You manage the daily tempo, coordinate the crew, and ensure that every person, from pilots to software engineers, knows exactly which tests are being conducted and when. Your mission is to transform raw flight data into actionable insights while maintaining a high-tempo, disciplined, and safe testing environment. RESPONSIBILITIES ONSITE TEST COORDINATION & LEADERSHIP * Act as the Onsite Test Coordinator: Lead daily operations on the range, ensuring the team stays focused on the primary test objectives. * Clarify Priorities: Maintain and communicate the "Daily Flight Schedule," ensuring everyone knows the sequence of events and current testing priorities. * Lead Briefings: Drive the morning "Pre-Flight Brief" and the evening "Debrief," capturing critical feedback and setting goals for the following day. * Resource Management: Coordinate the availability of airframes, ground support equipment, and personnel to maximize range time efficiency. FLIGHT EXECUTION & SAFETY * Coordinate and execute UAV flight tests in compliance with regulatory requirements and STARK safety standards. * Ensure all flight activities and anomalies are documented with high fidelity. * Develop specific Flight Test Techniques (FTTs) and instrumentation requirements to capture critical performance metrics. * Lead Flight Readiness Reviews (FRR) and contribute to safety review boards. TEST DESIGN & DATA ANALYSIS * Develop comprehensive flight test plans, test cards, and rigorous flight test hazard assessments (FTHA). * Process and analyze flight data using MATLAB or Python to validate system performance against requirements. * Work closely with Ardupilot and PX4-based flight control systems to iterate on flight behavior and performance. * Manage the configuration of flight test articles, ensuring all hardware and software versions are meticulously tracked. YOUR FIRST 12 MONTHS TIMEFRAME FOCUS MONTH 0–1: INTEGRATION DEEP DIVE INTO STARK UAV ARCHITECTURES AND SAFETY MANUALS. SHADOW CURRENT FLIGHT TESTS TO LEARN OUR OPERATIONAL TEMPO AND COORDINATION STYLE. MONTH 1–3: OPERATIONAL LEAD BEGIN ACTING AS THE PRIMARY ONSITE COORDINATOR FOR PRODUCTION TESTS. TAKE OWNERSHIP OF THE DAILY FLIGHT SCHEDULE AND ENSURE HIGH-FIDELITY LOGGING OF ALL SORTIES. MONTH 3–6: OPTIMIZATION LEAD COMPLEX EXPERIMENTAL CAMPAIGNS. REFINE OUR ONSITE COMMUNICATION TOOLS TO ENSURE 100% CLARITY ON TEST PRIORITIES ACROSS THE ENGINEERING TEAM. MONTH 6–12: LEADERSHIP ACT AS TEST DIRECTOR FOR MULTI-ASSET CAMPAIGNS. MENTOR JUNIOR ENGINEERS AND PILOTS ON STRUCTURED TEST EXECUTION, RANGE MANAGEMENT, AND REGULATORY COMPLIANCE. QUALIFICATIONS EDUCATIONAL & LEGAL BACKGROUND * Degree: Bachelor’s or higher in Aerospace, Electrical, Mechanical, or Systems Engineering. * NATO Citizenship: Must be a citizen of a NATO member state (due to export control and security regulations). * Communication: Professional-level written and verbal English. TECHNICAL & LEADERSHIP TOOLKIT * Coordination Skills: Proven ability to lead a technical team on-site, manage schedules, and communicate priorities clearly under pressure. * Data Mastery: Practical experience in data reduction and analysis using MATLAB or Python. * UAV Systems: Familiarity with Ground Control Stations (GCS), telemetry systems, and mission planning tools. * Testing Rigor: Proven ability to plan and conduct system-level tests in an aerospace or defense environment. MINDSET & STYLE * The "General" Mindset: You are naturally organized and can work through ambiguity on the flight line. * Analytical & Decisive: You can analyze a data anomaly quickly and decide whether to continue testing. * Meticulous Documenter: You believe that if it wasn't documented with high fidelity, the test never happened. PREFERRED EXPERIENCE * Active experience as an FTE or Test Director in crewed or uncrewed aviation. * Hands-on experience with flight test instrumentation (FTI) and DAQ systems. * Experience with Hardware-in-the-Loop (HIL) simulation environments.

Terra Quantum

THE ROLE The Applied Machine Learning Engineer will be a member of Terra Quantum's AI Applied Research team. This team builds and delivers end-to-end machine learning solutions for industrial clients across time series forecasting, optimisation, computer vision, natural language processing, and generative AI. The Engineer will own the classical machine learning craftsmanship that makes those solutions work, from data exploration and feature engineering through to model selection, hyperparameter optimisation, training pipelines, evaluation, and client delivery. A subset of the models built by the team incorporate a quantum layer; the Engineer is expected to treat that layer as one architectural component of an otherwise classical pipeline, and to apply the full toolkit of classical ML methods (including tree-based methods, boosting, deep learning, and classical optimisation) to make hybrid solutions perform reliably on real industrial data. The Applied Machine Learning Engineer plays a role in driving excellence within their team. They are not only detail-oriented but also possess a remarkable capacity for enthusiasm. By demonstrating commitment and passion for the mission, they inspire their team members to contribute to making quantum technologies widely accessible and to effect positive change globally. THE RESPONSIBILITIES The Applied Machine Learning Engineer should expect to work in one and supporting in the other areas of the following AI Applied Research Team activities. * Building and delivering industry machine learning solutions * Designing end-to-end ML pipelines for client problems in time series, routing and planning, GenAI, natural language processing, computer vision, and predictive modelling * Choosing the right classical method for the problem (gradient-boosted trees such as XGBoost or LightGBM, random forests, deep neural networks, kernel methods, classical optimisers) based on data characteristics, not framework preference * Treating the quantum layer (when present) as a constrained component of the model and using classical ML tradecraft (feature engineering, regularisation, training schedules, hyperparameter sweeps) to make the hybrid pipeline work * Classical machine learning craftsmanship in service of hybrid models * Doing the unsexy parts of an ML pipeline well: data cleaning, leakage protection, cross-validation design, baseline construction, statistical significance testing * Designing feature representations that align with the quantum component when one is present, including Fourier-spectrum features and other quantum-aware encodings that classical models can also consume * Profiling and improving training stability when gradients are noisy or non-standard, in cooperation with the quantum research team * Contributing to our internal ML libraries and SDK so that future client engagements can re-use what one engagement built * Supporting research and applied product development * Translating proposed quantum machine learning algorithms and ansätze from the research team into testable implementations within classical ML pipelines * Helping evaluate where and why a quantum layer adds measurable benefit on applied tasks, and, just as importantly, where it does not THE REQUIREMENTS The Applied Machine Learning Engineer is expected to have several qualifications depending on the area of activity. * Completed a Master's degree in computer science, applied mathematics, data science, statistics, engineering, physics, or equivalent subject * Hands-on experience with classical machine learning through coursework, an industrial internship, a research project, or a first junior role, and a clear interest in continuing in applied ML * Strong command of Python, the standard data science stack (NumPy, pandas, scikit-learn), and at least one deep learning framework (PyTorch or TensorFlow) * Comfort across the classical ML toolkit beyond deep learning, including tree-based methods (XGBoost, LightGBM, random forests), gradient boosting, and kernel methods, with good judgement about which method fits which problem * Experience designing rigorous experiments (cross-validation, baseline construction, statistical testing, hold-out evaluation) and reporting the results honestly with appropriate uncertainty * Software engineering fundamentals: version control with Git, testing, reproducible environments, configuration-driven experiments * Curiosity about quantum computing and a willingness to pick up the necessary quantum concepts on the job. Formal quantum education is not required, and experience with frameworks such as PennyLane, Qiskit or Cirq is a plus rather than a requirement * Familiarity with at least one applied ML vertical such as time series forecasting, NLP, computer vision, or industrial optimisation is a plus * Goal-oriented and analytical, with the ability to work independently and as part of an interdisciplinary team * Proficiency in written and spoken English * Applicants must have the legal right to live and work in the European Union or Switzerland. Unfortunately, we are unable to offer visa sponsorship for this role. The Rewards  We are an international team of quantum technology experts and dedicated business creatives that are working to bring quantum-enabled solutions to the global market. Our brilliant team members enjoy a high degree of freedom working remotely or joining one of our office spaces. We have a vibrant, enthusiastic, passionate and creative culture driven by trust, excellence and continuous improvement. If you join the Terra Quantum team, you can expect:  * An opportunity to work with some of the brightest minds in the pioneering field of Quantum Technologies as well as an experienced and progressive Leadership team * Gain knowledge of some of the most cutting-edge technology developments in science & engineering  * A chance to be part of one of Europe’s leading technology firms of the upcoming decades * Welcoming, friendly, and professional colleagues * A personal development plan with clear goals for advancement * A competitive salary  * Flexible working arrangements  * A diverse and supportive atmosphere, where innovation and initiative are encouraged   If you are enthusiastic about positively impacting the world and helping to drive the second quantum revolution, let’s talk!    Company description  Quantum technologies have the potential to solve some of the world’s biggest challenges. There have been great advances in all areas of quantum technologies, and new fields of application are opened up every day. Hybrid computer systems that combine classic high-performance computing with quantum computers are already being used to develop solutions in sectors such as logistics, healthcare, finance, energy, automotive and aerospace. Quantum mechanical predictions are also used to obtain unprecedented precision in measurements, generate unbreakable codes, and form the basis of impenetrable communication networks. All these developments are happening right now, and they are happening at Terra Quantum.  At Terra Quantum we are building the world’s leading Quantum Technology company. We offer customers world-class quantum technology expertise organized as “quantum-as-a-service”: hybrid quantum algorithms, quantum compute and quantum enabled security solutions. Through the proprietary quantum cloud, customers have access to a unique technology platform which provides a toolset to solve real-world challenges in the realms of machine learning, optimization and simulation, today. In 2022, the company closed its Series A financing round with a $75m fundraise.  Quantum physics has, in some respects, parallels to the machine language of our computers-the zeros and ones into which our keyboard or touchscreen instructions are translated for execution in the computer-only on a larger scale: it is the machine language of the universe. The second quantum revolution is based on the control of individual quantum systems, such as individual atoms. We use quantum computers to solve currently unsolvable problems, simulate molecules and their interactions, find drugs for diseases that are not yet curable, find new materials, or make artificial intelligence stronger. Quantum is now.  Terra Quantum is a future-focused quantum services and technology company working on making the second quantum revolution a reality. Terra Quantum’s activities span all areas, markets, and industries globally.  * Our purpose is to pioneer quantum technologies to change the world for good, * Our vision is to lead the quantum revolution and be the trailblazer in technology solutions, shaping a better future for humankind to thrive in, and * Our mission is to unleash the power of quantum tech to deliver meaningful solutions today Terra Quantum is an equal opportunities employer, committed to diversity, inclusion and employee well-being.