Founding Engineer – Data & Plattform (m/w/d)

Alpine Eagle

At Alpine Eagle, we’re building the future of counter-drone defence. We’re a fast-growing, international deep-tech company working at the intersection of aerospace engineering, defence systems, and machine learning. Our goal: create the world’s first swarm-based, airborne counter-drone system. Modern conflicts show how quickly drones are reshaping the battlefield. Threats are rising, and today’s solutions aren’t keeping pace. We’re here to change that. Alpine Eagle isn’t just a defence company. It’s a mission. Backed by an international team, strong funding, and a bold vision, we’re looking for people who want to shape the next generation of aerial security and build something that truly matters.   🎯 How you will make an impact: * Lead CE certification for drone systems, including safety analysis, conformity evaluation, and technical documentation. * Drive certification and approval processes with EASA and the German LBA for UAS systems across categories and operational scenarios. * Support and coordinate approval processes with the Bundeswehr’s LufABw for military UAS platforms. * Prepare and maintain safety assessments, including hazard analyses, risk assessments, SORA, and system safety documentation. * Interpret and apply international standards, including EU 2019/947 & 945, MIL‑STD, and environmental standards. * Advise engineering and leadership on regulatory impacts of design decisions and ensure lifecycle compliance. * Create and maintain compliance documentation, technical files, safety cases, and certification reports.  * Track regulatory changes, EASA rulings, and emerging UAS standards to ensure long‑term conformity and readiness. ✅ What you need to be successful: * Bachelor’s or Master’s degree in Aerospace, Electrical, Mechanical, Safety Engineering, or related fields. * 3+ years of experience in product safety, certification, or regulatory compliance for unmanned systems, aircraft systems, or other regulated products.  * Strong understanding of CE marking, EU safety directives, and conformity assessment procedures. * Working knowledge of EASA and LBA UAS certification environments, including operational authorization pathways. * Experience with or support of LufABw approval processes is a strong advantage. * Hands-on experience with system safety and risk assessments (SORA, FMEA, FTA, FHA, etc.).  * Ability to interpret technical standards and convert them into actionable engineering requirements.  * Strong communication and documentation skills, especially in English and German.  * A structured, systematic, and ownership-driven approach to problem solving.      At Alpine Eagle, we are committed to diversity and equal opportunity. We welcome applications from all individuals regardless of ethnic origin, gender, religion, disability, age, or sexual identity. Apply now!

Quantum Motion

ABOUT THE ROLE AND TEAM The Quantum Hardware Team specialises in designing, validating and operating quantum processors based on silicon industrial technology. As a Quantum Engineering Intern, you will work closely with our senior engineers and researchers to assist in the design, testing, and optimization of quantum hardware. This role is designed for students or recent graduates who are passionate about quantum mechanics and eager to gain hands-on experience in a fast-paced deep-tech environment.   Quantum Motion is a fast-growing quantum computing scale-up headquartered in London, with additional labs and offices in Spain, Australia and the US, founded by internationally renowned researchers from University College London and Oxford University with over 40 years’ experience in developing qubits and quantum computing architectures. Bringing together state-of-the-art cryogenic facilities and an outstanding interdisciplinary team, we are developing quantum processors based on industrial-grade silicon chips, with the potential to radically transform computing power in areas such as materials modelling, medicine, artificial intelligence and more. This role forms part of our investment in state-of-the art facilities in Sydney, Australia. It reflects our commitment to driving innovation and collaborating with some of the brightest minds in the quantum industry, and additionally taps into Australia’s strongest semiconductor and cryogenic ecosystem. Our mission is global and this is a rare and exciting opportunity to join a team which is shaping the future of quantum computing.   As part of our lean, high-impact and rapidly growing team, you will be working closely with our scientists, engineers and experts in a dynamic environment to make the site run smoothly and compliantly from day one, dedicated to contributing to the development of scalable quantum computers based on silicon technology. OUR TEAM Since 2021 our team has been listed every year in the “Top 100 Startups worth watching” in the EE Times, and our technology breakthroughs have been featured in The Telegraph, BBC and the New Statesman. Our founders are internationally renowned researchers from UCL and Oxford University who have pioneered the development of qubits and quantum computing architectures. Our chairman is the co-founder of Cadence and Synopsys, the two leading companies in the area of Electronic Design Automation. We’re backed by a team of top-tier investors, and we have recently closed our Series C funding of $160 million.   We bring together the brightest quantum engineers, integrated circuit (IC) engineers, quantum computing theoreticians and software engineers to create a unique, world-leading team, working together closely to maximise our combined expertise. Our collaborative and interdisciplinary culture is an ideal fit for anyone who thrives in a cutting-edge research and development environment focused on tackling big challenges and contributing to the development of scalable quantum computers based on silicon technology. Our team of 110+ is based in the UK (Oxford and London), Australia (Sydney), Spain (San Sebastián) and the US.  FUNCTIONS OF THE ROLE * Hardware Support: Assist in the assembly and testing of control circuits and cryogenic measurement setups. * Data Analysis: Develop and refine Python scripts for automated data collection and analysis of qubit performance metrics. * Experimental Execution: Support the execution of calibration routines and characterization experiments under the guidance of the hardware team. * Documentation: Maintain detailed records of experimental setups, results, and technical workflows. EXPERIENCE - ESSENTIALS * Bachelor's or Master's degree in electrical engineering or a related field * Strong understanding of semiconductor physics * Good understanding of quantum mechanics * Strong skills in electronics laboratory techniques, including soldering, wiring, and circuit debugging * Familiarity with data acquisition software (Python) and the ability to analyse and visualise experimental data * Excellent verbal and written communication skills EXPERIENCE - DESIRABLE * Strong understanding of quantum mechanics and quantum devices * e.g. familiarity with quantum dot characterisation techniques such as charge and spin transport measurements * Basic knowledge of quantum information systems and operations * Familiarity with the use of high-frequency electronics: AWGs, RF and MW signal generators, IQ (de)modulators * Ability to assist in designing and carrying out experiments; assist in data analysis and preparation of technical reports and presentations * Basic knowledge of digital communications techniques (SPI, JTAG, etc.) Note: The desirable experience requirements are not necessary for the role but would be considered as an advantage for the candidate. BENEFITS * Working with a World-Leading Team: Collaborate daily with world-leading experts in silicon spin qubits. * Paid Internship: Receive a competitive intern salary aligned with your skills and experience. * Direct Industrial Experience: Gain crucial, hands-on experience applying fundamental science to commercial hardware challenges. * Cutting-Edge Facilities: For relevant projects, access and operate state-of-the-art laboratory equipment, including dilution refrigerators and advanced measurement platforms. * Dedicated Mentorship: Receive guidance from an assigned industry expert and team members throughout your internship, with a focus on on achieving specific project goals. EEO STATEMENT Quantum Motion is committed to providing equal employment opportunity and does not discriminate based on age, sex, sexual orientation, gender identity, race, colour, religion, disability status, marital status, pregnancy, gender reassignment, religion or any other protected characteristics covered by the Equality Act 2010.

Taxfix

OUR STORY: Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We're working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence. Spread across Germany, Spain and the UK, the team at Taxfix Group with its brands Taxfix and Steuerbot, is a compassionate group of solution-finders. We speak our minds openly, and with over 400 professionals, including tax experts, developers, and IT security experts, we're rich in ideas and voices. The group has facilitated more than 3.5 billion euros in tax refunds for its customers since its founding in 2016. YOUR CHALLENGE: Taxfix makes tax filing simple, fast, and accessible for millions of users across Europe. Behind the product sits a data platform that powers everything from business analytics and regulatory reporting to ML and AI-driven product features. We’re growing and the platform needs to grow with us. We are looking for an experienced Data Platform Engineer to design, build, and operate the infrastructure and pipelines that make data at Taxfix reliable, compliant, and ready for AI. You will own the systems that move data from operational databases, APIs, and SaaS tools into our analytical environment and make sure that data is correct, timely, and safe to use. Your work will directly enable ML and AI-powered product experiences, self-serve analytics, and regulatory reporting. YOUR TEAM: The Data Platform team is part of the Data Organization, which enables everyone at Taxfix to make data-driven decisions, drive business growth, and power ML and automation in our products. Within our group we have product analysts, analytics engineers, machine learning engineers, and data engineers working across the whole company. The platform team serves many consumers analytics, ML, product, and compliance so you can expect to join cross-functional project teams regularly, working alongside backend and frontend engineers, analysts, ML engineers, product and design. Team members are all data engineers but from different backgrounds. We rely on each other to deliver our best, grow together, share knowledge openly, and invest in personal development through mentoring and innovation. YOUR RESPONSIBILITIES AND DECISIONS: * Contribute to and operate cloud platform infrastructure - manage GCP resources (GCS, Dataflow, Dataproc, k8s, Pub/Sub…), provision and maintain environments with Terraform and help ensure the platform is reliable, predictable, cost-efficient and scalable * Build and maintain ingestion pipelines that capture changes from application databases, APIs, SaaS and deliver clean, analytics-ready tables to our cloud data warehouse * Operate and improve our orchestration layer - scheduling, retries, SLA tracking, and observability for data pipelines * Design data models with proper layering that handle real-world data complexity: out-of-order events, schema evolution, late arrivals, and backfills * Own data quality monitoring - build validation, monitoring, and alerting that catches problems before downstream consumers do * Implement privacy and compliance controls - anonymization, pseudonymization, access policies, and deletion propagation (GDPR right-to-be-forgotten) across raw and derived layers * Prepare data for ML and AI use cases - build governed, privacy-safe datasets and feature pipelines that ML engineers and data scientists can use for model training, evaluation, and production inference * Use AI effectively in engineering workflows - leverage AI-assisted development where it improves delivery quality and speed, and share best practices with the team * Build scalable AI platform capabilities - develop reusable, production-grade patterns for AI workloads (governed data access, privacy-safe telemetry, evaluation datasets, and cost/quality monitoring) that multiple teams can adopt YOUR PROFILE: * 4+ years of experience in Data Engineering or a similar role (backend engineer working on data-intensive systems counts) * Strong Python skills for data pipeline development - you write production code, not just scripts * Strong SQL skills - window functions, CTEs, query optimization are second nature * Experience with event-driven data pipelines - CQRS, event ordering, idempotency, and the difference between initial load and incremental processing * Expert with Airflow - you’ve built DAGs with proper task dependencies, retries, and monitoring * Strong Snowflake or other modern data warehouse knowledge - resource management (compute/warehouse sizing, concurrency), security & governance (roles/RBAC, column/row-level masking), columnar storage & partitioning/clustering concepts, and query performance & cost optimization in production * Cloud platform experience - you’ve worked with GCP (GCS, Dataflow, Dataproc etc) or equivalent AWS/Azure services and understand how to manage cloud resources at scale * Infrastructure-as-code - experience with Terraform, Helm, or similar tools for provisioning and managing cloud environments * K8S and Docker containerization - you package and deploy your own work * Data quality mindset - you profile data, validate assumptions, build checks, and don’t trust that “the data looked clean” * Data for AI readiness - you have experience preparing data for ML and AI use cases with appropriate governance, lineage, and privacy controls * Awareness of data privacy requirements - you can identify PII, understand GDPR, and know how to implement anonymization and deletion across multiple data layers * AI-enabled engineering practices - you actively use AI assistants and code generation tools to accelerate development and deliver, and you share effective practices with the team WHY TAXFIX? * A chance to do meaningful, people-centric work with an international team of passionate professionals. * Holistic well-being with free mental health coaching sessions and yoga. * A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like. * Employee stock options for all employees because everyone deserves to benefit from the success they help to create. * 30 annual vacation days and flexible working hours. * Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip. * Plenty of opportunities to socialise as a team. In addition to internal tech meetups, our international team hosts regular get-togethers - virtually and in person when possible. * Free tax declaration filing, of course, through the Taxfix app - and internal support for all personal tax-related questions. * Have a four-legged friend in your life? We’re happy to have dogs join us in the office. Excited? So are we. Learn more about Team Taxfix on our blog and get a glimpse of our culture.   At Taxfix, we believe that incredible things happen when you have a wealth of perspectives and experiences. We're proudly committed to equal employment and development opportunities no matter your gender, race, religion, age, sexual orientation, colour, disability, or place of origin. To help mitigate any potential unconscious biases, we ask that you refrain from including your picture, age, or marital status on your CV. Let your experiences speak for themselves.