• Design, build, and maintain scalable, efficient data pipelines to handle large volumes of data from diverse sources. • Develop and optimize ETL/ELT processes to ensure data quality, integrity, and availability. • Collaborate with data scientists, business analysts/Product Owners (POs), and developers to understand data requirements and implement robust solutions. • Manage and monitor data infrastructure, identifying and resolving performance bottlenecks. • Implement and maintain Data Warehouse, Data Lake, and Lakehouse solutions. • Ensure data security and compliance in accordance with data governance and industry regulations. • Document data architectures, pipeline strategies, and processes. • Participate in defining standards and best practices for data engineering. • Automate processes and tasks related to data engineering. • Mentor junior engineers and trainees.

ALTEN Mexico, is a leading engineering company that specializes in providing innovative solutions for engineering, technology, and product development projects. We work directly with different industries including Automotive, Energy, Aeronautics, Banking & Insurance, Telecom & Multimedia, and Rail; offering services ranging from project design development to test/validation, programming, implementation, and manufacturing. We are currently seeking a talented and motivated Chassis Design & Release Engineer to join our team. As an Chassis Design & Release Engineer, you will be responsible for the engineering, design, development, timing, and production release of chassis components and systems. You will collaborate with cross-functional teams to ensure accurate design and development of interior systems, and contribute to the continuous improvement of the design and release processes. The area we are seeking currently to cover are: Suspension Tuning and Steering Components 📍 Location: México 🕒 Experience Level: 0-1 year 🌐 English: B2–C1 🧩 Full-time | Engineering ✈️ Valid visa is optional

Role Description At the ETH spin-off Lightly, we build software solutions to help companies improve their deep learning models. The available data for deep learning grows faster than human tagging and available compute power. Our customers already face this problem and have too much data to process. As a solution, we built software to identify and work with the most relevant samples only. We are a team of talented developers and researchers in Zurich and are backed by YCombinator. Every member of the team is going to have a massive impact. Thus, we are looking for an experienced engineer with lots of passion for the subject. We offer an attractive cash- & equity package for you to become part-owner of Lightly. Remote or WFH work is possible. We use a modern stack of: - Typescript, React, NodeJS, Python - Docker, Kubernetes, Google Cloud Platform, AWS, Terraform, MongoDB Experience in Svelte is a plus. As a (senior) full-stack engineer, you are working directly with our core product. Your responsibilities will include building, improving, and deploying our software. Particularly, you will get to: - Design and implement new features across the stack. - Build parts of the software stack, mostly on the DB and API side. - Design and implement the architecture and infrastructure with a focus on high performance and scalability when handling millions of data points. - Uphold our high engineering standards and bring consistency to the codebases, infrastructure, and processes you will encounter. - Research and implement new technologies and solutions. Qualifications - At least 5 years of experience in building, managing, and deploying applications into big infrastructures. - Knowledge of software engineering, design, and deployment best practices. - Experience with building and shipping software solutions. - A strong passion for new technologies and interest in keeping up with the latest technologies. - A creative, collaborative, and product-focused mindset. - Excellent coding skills in TypeScript, NodeJS, and Python. C++ and Rust are a bonus. - Knowledge in Machine Learning and experience with Docker and Kubernetes is a bonus. Benefits - Attractive cash- & equity package for you to become part-owner of Lightly. - Remote work is also possible. Company Description Lightly AG is an official ETH Spin-off in the field of machine learning. We're funded by YCombinator and top investors.

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are looking for a Senior Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. As a Snowflake Solution Engineer you must share our passion about reinventing the database space, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences. IN THIS ROLE YOU WILL GET TO: - Present Snowflake technology and vision to executives and technical contributors at prospects and customers - Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation - Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them. - Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing ON DAY ONE WE WILL EXPECT YOU TO HAVE: - 7-8 years of industry experience with a minimum of 5 years within a pre-sales environment - Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos. - Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. For example, Data Lake, Data Mesh, Data Fabric - Hands-on expertise with SQL,SQL analytics, and Python. - Ability to connect a customer’s specific business problems and Snowflake’s solutions - Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture. - Proactive curiosity for the AI landscape, striving to be a visionary and technical thought partner for customers navigating the space. - A proven ability to leverage AI code generation tools to accelerate productivity and efficiency. - University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred. Masters in Data Science or Business Administration is a plus. - Experience with GSIs (EY, Deloitte, Accenture, etc), would be beneficial, but not required ABOUT OUR TEAM: Our Solution Engineers are customer obsessed and we believe in the value we can add and stay honest about it. We love to learn, are open to giving and receiving feedback and are passionate about making our clients successful. Our team works to ensure data is accessible, usable and valuable to everyone. ABOUT SNOWFLAKE: Snowflake started with a clear vision: make modern data warehousing effective, affordable, and accessible to all data users. Because traditional on-premises and cloud solutions struggle with this, Snowflake developed an innovative product with a new built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions. Snowflake is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com The following represents the expected range of compensation for this role: - This role is eligible to participate in Snowflake's commission plan and it is common for employees in this role to receive total on-target earnings of $220,000 - $288,750. The estimated base salary for this role is $165,000 - $216,562. - Additionally, this role is eligible to participate in Snowflake’s equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.