Leonardo · Bristol - Coldharbour Lane, United Kingdom

Job Description: Salary Range: £37,318 - £50,000 Leonardo UK operates a grade-based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity. Your impact Are you ready to start your career in data engineering and support solutions that underpin secure, high-integrity systems and services? At Leonardo UK, our Data Engineer Technicians assist with data workflows, automation, and integration under the guidance of experienced engineers. Your work at Leonardo UK will see you take the lead in solving customer problems in an agile, innovative and team-centric manner. The role may involve a blended hybrid working model, with a mixture of working from home and working on site at one of our Leonardo offices to ensure close collaboration with the wider team and with our customers. What you will do as a Junior Data Engineer Assist in designing and building secure, scalable data solutions under guidance, progressing to independent tasks. Develop tools for data-driven insights and task automation Research and train in emerging technologies Work with cloud platforms and diverse operating systems Support development and deployment of machine learning models Collaborate with DevOps Engineers, Data Scientists, Analysts and Cyber Consultants Leverage big data technologies and orchestration tools Document processes and maintain configuration records Participate in team meetings and knowledge-sharing sessions What you’ll bring Assist in preparing and integrating data across systems. Support ETL processes and basic pipeline testing. Maintain documentation and configuration records. Learn and apply secure coding practices. Ability to work independently on defined tasks and escalate issues when needed Core Areas (must have): Data engineering fundamentals (ETL, pipelines). Programming (Python, SQL). Cloud and orchestration exposure. Documentation and compliance awareness. Collaboration and communication. Desirable: Degree in STEM, Data, AI or Programming-related field Experience to Docker and APIs Familiarity with CI/CD practices Interest in Agile and DevOps practices. Exposure to big data tools e.g. Spark, Hadoop, NiFi Understanding of ML algorithms and deployment This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill is a good attitude and willingness to learn. Security Clearance This role is subject to pre-employment screening in line with the UK Government’s Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: https://careers.uk.leonardo.com/gb/en/security-and-vetting Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work–life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we’re here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance : All employees at management level and below are eligible for our bonus scheme. Never Stop Learning : Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks : Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role. For a full list of our company benefits please visit our website. Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team—they are key contributors to shaping innovation, advancing technology, and enhancing global safety. At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know. Be part of something bigger - apply now! Primary Location: GB - Bristol - Coldharbour Lane Contract Type: Permanent Hybrid Working: Hybrid

ShopFully · Italy

We are the platform turning browsing into shopping . We connect 200 million shoppers with deals they love while boosting local sales for hundreds of top retailers and brands. We help consumers save time and money while making smart shopping decisions, and we support retailers and brands in engaging customers from online research to in-store purchases. In 2024, Shopfully joined forces with the North American company Flipp , creating a global leader in the sector. Together, we reach 400 million households and serve over 1,000 top retailers and brands across 27 markets, including Europe, Canada, the USA, Latin America, and Australia. Ready to  spark your growth with us? WHO WE LOOK FOR 🦄 We are looking for a Data Engineer to join our Engineering team in Europe. In this role, you will be a key player in building the next generation of our digital shopping marketplace. You’ll work with massive datasets and cutting-edge technologies like Spark, Kafka, and AWS to ingest, process, and distribute data at scale. We need someone who doesn't just "move data" but treats data infrastructure as a product, enabling Data Scientists and Analysts to make informed, high-impact decisions. If you are passionate about data-driven culture and eager to solve complex retail challenges, you’re in the right place! WHAT YOU WILL DO 🏄 Join a team of talented data engineers who use cutting-edge big data technologies to solve impactful business problems. Work directly with Engineering, Data Science & Data Analysts teams to create both real-time streaming and batch data pipelines that power data driven decisions across the organization. Improve and maintain our data warehousing solutions and deliver trusted and easy-to-use datasets to both internal & external stakeholders. Participate in design discussions with other team members and find innovative solutions to new and existing business problems. Develop and enhance continuous integration and continuous delivery (CI/CD) pipelines for the team. Explore new technology options for data processing, storage, and share them with the team. Develop tools and contribute to internal & open source projects wherever possible.   WHAT YOU WILL NEED 🪄 Bachelor’s degree Computer Science/Engineering or equivalent. 2+ years of work experience in building data pipelines ingesting and transforming large data sets. 2+ years of work experience in big data technologies such as Spark, Kafka, Airflow, etc. Work experience in one or more general purpose programming languages, preferably Scala, Python. Track record of shipping quality code and delivering high quality features. You are passionate about data and driving a data driven culture in the organization. 👉 At our company, we value diversity and actively encourage it — we believe a variety of perspectives and backgrounds makes us stronger. We focus on potential rather than on having a “perfect” CV. If this role excites you and you believe you could grow into it — even if you don’t tick every single box in the requirements — we’d love to hear from you! NICE TO HAVE  🎆 Hands-on experience with AWS ecosystem and Databricks. Prior experience working in a distributed, global team across time zones.   SALARY RANGE ⚖️ : €40,000 – €45,000 fixed gross salary per year.   LOCATION 🌐   While we have offices in Milan , Barcelona and Sofia , you can benefit from our flexible hybrid model, empowering you to work where you’re most effective in Europe. Full remote available.   WHAT YOU WILL FIND AT SHOPFULLY 🤗 🌎 An opportunity to thrive in a rapidly scaling multinational company 🕶️ A vibrant, informal, and inclusive work environment 🧠 We champion autonomy, flexibility, and a hybrid work model, empowering you to own your work 📚 Access to learning opportunities and regular feedback sessions 🍓 Enjoy our central, modern offices featuring fresh snacks, coffee (including vegan options!), and ergonomic setups 🎉 Engage in meaningful team events: offsites, happy hours, company parties and celebrations that unite us beyond daily tasks 💻We provide all the necessary equipment for you to work effectively and set up your workspace, wherever you are 🧰 Benefit from additional country-specific advantages based on local contracts and practices   WHO WE ARE 💜  We’re a team of 450 people (and counting!), from 30 different nationalities. We’re on a mission to innovate, and we believe the key to that is seeing the world through a variety of perspectives. That’s why building a more diverse team, as well as bringing in even more talent, is so important for us.   TO FEEL AT HOME 🛋️ IN SHOPFULLY YOU NEED 🎯 Progress Over Perfection : We move forward. Always. In a fast-moving world, speed with purpose beats certainty without action. Momentum matters—not for its own sake, but because it drives results. Clarity Through Transparency : We bring each other along. We work in teams, not silos. Transparency gives context, and context enables action. That means we share decisions early, publish work in progress, and document outcomes so others can learn, move faster, and build better. Learn Loudly : We grow by doing and by daring. Big bets unlock big breakthroughs. But real innovation demands risk, and risk always carries the possibility of failure. That’s not a flaw. It’s the price of ambition. Challenge with Empathy : We speak up, even when it’s hard—because candor shows care, and leads to better outcomes. Listening deeply is how we grow. Disagreeing openly is how we build trust. Always Build Better: We are builders—of products, systems, and ideas. But more than that, we are builders of better. Better has no finish line. It’s a mindset. If you choose to apply for this specific job position and submit your application, which may include personal data such as your identifying details, contact information, curriculum vitae, cover letter, professional qualifications, and/or employment history, please be informed that your data may be shared with our Affiliates*, including Offerista Group GmbH and Flipp Operations Inc. The aforementioned entities will act as joint controllers for the limited purpose of intra-group sharing related to the evaluation of candidates’ applications. This means that your data may be processed by the Affiliate to assess your application and, if deemed suitable, to contact you regarding potential employment opportunities. However, please note that from the moment an Affiliate initiates direct contact with you and engages in any further processing of your personal data beyond the initial intra-group sharing for evaluation purposes, such Affiliate shall act as an independent data controller. In such cases, the processing of your personal data will be subject to the specific privacy policies that can be found  here. * Affiliates shall mean any entity that directly or indirectly controls, is controlled by or is under common control with ShopFully SpA and its Affiliates’ subsidiaries, meaning any entity which is directly or indirectly controlled by the Affiliates.  

Veliu · Milan, Italy

TRANSFORMING CIRCULAR ECONOMY EMBRACE OUR MISSION Circularity for everyone! We are on a mission to help people recover the value embedded in their pre-owned goods, transforming them into currency, and enabling brands to sell more sustainably. We’ve built a unique AI-powered, product-centric platform that connects retailers, consumers, and professional used-goods buyers. As we scale rapidly across Europe, we’re raising the bar for sustainability in one of the largest markets worldwide. LIVE BY OUR CULTURE We foster autonomy within our team, driven by our mission and the belief that 'culture eats strategy for breakfast.' In our view, agile management, long-term planning, and a deductive approach often fall short—only execution and tangible results truly matter. We believe in shared ownership of the company and learning through experimentation. JOIN OUR TEAM We are highly focussed on people and work relentlessly to put the best possible team together. Veliuers have worked in some of the best startups worldwide: Senso, Palantir, Reddit, Meta, Scalapay, Sibill, ScaleAi, Satispay and more! We secured our 4m USD pre-seed round in July 2025 and we have giga office in Milan (Italy). ROLE In this role, you'll be seen by the team as the go-to person for most of our data pipelines and data science/ML projects. This isn't a research-focused position — the workflows you build will be used in real-life, production applications that directly impact our users and partners. Your work will play a key role in powering our platform and driving meaningful results across the board. CORE RESPONSIBILITIES - Data Engineering: - Design, build, and maintain scalable data pipelines to collect, clean, and transform large volumes of structured and unstructured data. - Collaborate with the engineering team to develop efficient data storage solutions (e.g., data lakes, warehouses) and ensure smooth data flow for AI, data science and analytics use cases. - Data Science & AI/ML: - Develop, train, and deploy AI/ML models for prediction, recommendation, and optimization tasks, with a focus on Pricing, Risk Management and Catalog Management. - Continuously experiment and validate model performance, ensuring robustness and scalability in real-world applications. - Work on applied AI techniques such as natural language processing (NLP) or computer vision to enhance company products and services. SKILLS WE ARE LOOKING FOR - Experience with programming languages and tools (e.g., Python, SQL, Spark, Pandas, Polars) - Proficiency in data science and machine learning techniques (e.g., regression, classification, clustering, time series forecasting). - Familiarity with AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Spacy). - Passion for AI applications in fintech, sustainability, and the circular economy. - Nice to have: - Experience with cloud environment (e.g., AWS/GCP/Azure), cloud computing and ETL. - Experience with data visualization tools (e.g., Plotly, Seaborn) - Proficiency with version control (e.g., Git)