2 posizioni · 1 aperte · 1 scadute
Solo aperteMaterials Engineering Intern
ScadutaSTMicroelectronics · Muar, MY
internshipfull time10001+SemiconductorsenglishOUR STORY At STMicroelectronics, we believe in the power of technology to drive innovation and make a positive impact on people, businesses, and society. As a global semiconductor company, our advanced technologies and chips form the hidden foundation of the world we live in today. When you join ST, you will be part of a global business with more than 115 nationalities, present in 40 countries, and comprising over 50,000 diverse and dedicated creators and makers of technology around the world. Developing technologies takes more than talent: it takes amazing people who understand collaboration and respect. People with passion and the desire to disrupt the status quo, drive innovation, and unlock their own potential. Embark on a journey with us, where you can innovate for a future that we want to make smarter and greener, in a responsible and sustainable way. Our technology starts with you. YOUR ROLE The Data Engineer Intern will support our Materials Engineering initiatives through a data engineering approach by contributing to the design, development, and maintenance of data pipelines, data workflows, and analytical tools. Working closely with the Data Engineering team and relevant stakeholders, the intern will help improve data accessibility, quality, and processing efficiency. This internship offers hands-on experience with real-world data engineering projects and the opportunity to contribute to impactful solutions in a collaborative environment. Key Responsibilities Support the design, development, and maintenance of scalable and reliable data pipelines across various systems and platforms. Assist with data extraction, transformation, loading (ETL), preprocessing, and validation to improve data quality and consistency. Contribute to the development and optimization of data processing workflows to ensure timely and accurate data delivery. Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions. Assist in documentation, testing, and continuous improvement of data engineering processes and tools. Depending on project needs, support data-related activities connected to materials engineering or other technical domains. Skills & Qualifications Bachelor’s or Master’s degree in Data Science, Computer Science, Data Engineering, Materials Engineering, or a related field. Familiarity with data processing frameworks and technologies such as Databricks, Apache Airflow, Spark, and/or SQL databases. Proficiency in Python programming. Strong analytical thinking, problem-solving skills, and attention to detail. Ability to work independently and collaboratively in a fast-paced environment. Good communication and teamwork skills. Experience with data visualization, scripting, or web development is a plus. Minimum internship duration: 3 months or longer ST is proud to be one of the 17 companies certified as a 2025 Global Top Employer and the first and only semiconductor company to achieve this distinction. ST was recognized in this ranking thanks to its continuous improvement approach and stands out particularly in the areas of ethics & integrity, purpose & values, organization & change, business strategy, and performance. At ST, we endeavor to foster a diverse and inclusive workplace, and we do not tolerate discrimination. We aim to recruit and retain a diverse workforce that reflects the societies around us. We strive for equity in career development, career opportunities, and equal remuneration. We encourage candidates who may not meet every single requirement to apply, as we appreciate diverse perspectives and provide opportunities for growth and learning. Diversity, equity, and inclusion (DEI) is woven into our company culture. To discover more, visit st.com/careers.
Pubblicato 2 mesi faVedi dettagliSoftware Engineer
IbridoShopFully · Italy
senior201-500Retail MediaenglishWe 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 Senior Software Engineer to join our Audience Platform team within Ad Products. In this role, you will own and extend the high-throughput, low-latency backend systems, event-driven architectures, and distributed data pipelines powering 1P, 2P, and 3P audience data for Flipp and Shopfully. We are looking for a high-autonomy senior contributor who doesn't just write code, but owns production services end-to-end, drives system design decisions, scales core tables running into tens of billions of rows, and leverages cutting-edge AI tools to maximize engineering throughput. If you are passionate about backend engineering, low-latency architectures, data at scale, and ad-tech innovation, this role is for you! WHAT YOU WILL DO 🏄 Own & Extend the Audience Platform: Architect, build, and scale core backend systems including the Audience API, Audience Kafka Topics, User Profile API, Audience Management UI, and 2P/3P data ingestion infrastructure. Drive Integrations & Data Pipelines: Build and maintain high-volume activation platform integrations (e.g., DV360, Braze, TTD) and collaborate on Databricks segmentation pipelines and core data tables running into tens of billions of rows. Ensure High Performance & Observability: Design and operate low-latency, high-throughput microservices using Go, gRPC/Protobuf, and REST+OpenAPI, maintaining end-to-end service observability and APM via Datadog and Datadog OnCall. Support ML & AI Workstreams : Partner with Machine Learning Engineers and Data Scientists to support models (IAB Segmentation Model, Retailer/Category Affinity Segments) and integrate AI-assisted development practices (e.g., Cursor, Claude Code) into day-to-day engineering workflows. Privacy & Compliance: Plan and execute technical initiatives with strict adherence to data regulatory laws (GDPR, CCPA, consent management). Technical Leadership & Execution: Lead large-scale, cross-functional engineering initiatives from design to execution, contributing directly to team and company OKRs (including driving $7M+ in targeting revenue). Cross-Functional Collaboration: Partner closely with Product Managers, Engineering Managers, Data Engineers, and cross-departmental stakeholders (Ad Supply, Ad Demand, Programmatic, Marketing Science). WHAT YOU WILL NEED 🪄 5+ years of backend/distributed systems engineering experience, ideally in Go (the team's primary language for high-throughput, low-latency services). Production experience with Kafka-based event-driven architecture (Confluent Kafka). Hands-on experience with Python or Scala, and strong SQL skills. Proven track record of owning a production service end-to-end, including on-call rotation. Comfort with distributed data pipelines at scale and experience designing/operating gRPC/Protobuf and REST+OpenAPI services. Container orchestration & Cloud fluency: Experience with AWS and Kubernetes (EKS). Active use of AI coding agents (e.g., Cursor, Claude Code) to increase personal development throughput. High autonomy in ambiguity and ability to communicate technical designs clearly to both technical and non-technical stakeholders. Fluent in English with ability to provide overlap availability into North American hours (9am to 12pm EST). 👉 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 🎆 Ad-tech, programmatic advertising, or activation platform experience. Privacy engineering background (GDPR, CCPA, consent systems). Familiarity with Databricks-specific tooling. Experience deploying ML systems or working closely with ML pipelines. SALARY RANGE ⚖️ : €50,000 – €70,000 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 from Europe. 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.
Pubblicato 1 settimana faVedi dettagli