About the team Kiloverse is the operational force that helps ventures grow — building the systems, teams, and infrastructure that turn ideas into scalable businesses. Behind every fast-growing product, there’s a group of people who think like owners, act fast, and execute with precision. Here, you’ll find people who want to break big in their careers — working side by side with entrepreneurs and founders to build ventures that redefine the health, wellness, beauty, or travel industries. Get ready to - Identify, investigate and solve data issues: data quality, data discrepancies, missing data - Contribute to the development and improvement of data solutions - Optimize and develop our data infrastructure and work on a strategic infrastructure roadmap - Employ GCP tools (dbt, Airflow and Looker) to enhance data quality, efficiency, and delivery of accurate and timely data - Work on prevention and alerting solutions - Adopt and refine our best practices e.g. naming convention, data modeling, and data quality testing - Communicate with cross-functional teams and non-technical stakeholders in a clear and structured manner - Assist and support other team members in the design, development, and implementation of data warehousing, reporting, and analytics solutions - Take ownership of tasks and initiatives We expect you to - Have at least 4 years of proven SQL skills: ability to join and manipulate data of various types (String, Integer, JSON, Array), write parameterized scripts, debug SQL code - Experience working with dbt is a plus - Experience with analytics tracking tools (e.g., Snowplow, GA4) is a strong plus - Know ETL and warehousing concepts - Have strong communication skills: timely, clear, and consistent sharing of information, work progress, bottlenecks and findings - Have curious and growth-oriented mindset towards constant learning - Be capable to understand, tackle, and communicate problems from both technical and business perspectives - Be fluent in English Salary Gross salary range is 3800 - 5000 EUR/month. Location This position is remote, with the opportunity to work from our office in Barcelona, Spain. Speaking of perks: Own your wellness 7 extra days off, 3 for weddings Shape your growth path Builders never stop learning. Coaching, mentorship, training, conferences, online courses, subscriptions, books – you’ve got a €1100 yearly budget to fuel personal or team growth. You pick the path – we’ll back you all the way. Drive global impact This is where ambition scales. Build impact across 30+ brands worldwide. Launch bold projects. Even step in as a co-founder – we reward those who push further. And if you bring in more great people, you get €1500 for every successful referral. *additional conditions apply based on your residence location.

We’re looking for a Mid-Senior level Data Engineer to join our team and help shape the future of neuro-contextual advertising as we continue to expand globally. Who We Are At Seedtag, our mission is to transform advertising by proving that effectiveness and user privacy can truly coexist. As the leading Neuro-Contextual Advertising Company, we combine Artificial Intelligence, Natural Language Processing, Computer Vision, and neuroscience to understand not only what content is about, but how it makes people feel and what they intend to do next. Our proprietary AI, Liz, enables brands to connect with audiences across the open web and Connected TV without cookies or user tracking. Founded in 2014 by two ex-Googlers, Seedtag has grown to 700+ Seedtaggers in 17 countries, backed by €250M in funding, and operates today as a global ad-tech leader. If you enjoy solving complex engineering challenges and building AI-driven systems at scale, you’ll feel right at home here. Your Challenge As Data Engineer, you will: - Be a key player in the development of a reliable data architecture for ingestion, processing, and surfacing of data for large-scale applications. - Cooperate with other teams to unify data sources, as well as recommend and implement ways to improve data reliability, quality and integrity. - Work with data science and data analytics teams, to help them improve their processes by building new tools and implementing best practices. - Ensure continuous improvement in delivery, applying engineering best practices to development, monitoring, and data quality of the data pipelines. Our Core Values Outcome over Output We measure success by impact and value, not by volume of features or lines of code. Failure Is Allowed, Learning Is a Must Experimentation is key to innovation. We test early, iterate often, and learn fast. We Are All Scouts We take ownership and leave things better than we found them. We Are Data-Driven Data informs our decisions and helps us continuously improve our systems and results. Tech Stack We operate at large scale, supporting up to 120k requests per second, with ML models responding in under 10 milliseconds and processing 20 TB of data daily. Our stack includes: - Languages: Python, Go, TypeScript, Scala - Cloud & Infrastructure: Kubernetes, GCP, AWS - Streaming: Kafka, Kinesis - Data: Datalakes, GCS, Redis, Druid, MongoDB - Architecture: 100+ microservices, DevOps-driven, continuous deployment What You’ll Need to Succeed - You have at least 5 years of solid experience in Data Engineering. - You have a degree in Computer Science, Engineering, Statistics, Mathematics, Physics or another degree with a strong quantitative component.You are comfortable with object-oriented languages, such as Python or Scala, and you are fluent in working with a Linux terminal and writing basic bash scripts. - You have ample experience with Data Engineering tools such as BigQuery, Trino, Kafka or dbt. - You have experience orchestrating ETL processes using systems such as Apache Airflow, and managing SQL and NoSQL databases. - You are a team player and a proactive person who likes the dynamic scaleup work culture. Why Join Seedtag? - A key moment of growth with real ownership and global impact. - Flexible work model with 100% remote or hybrid options. (Remote contracts available in Spain, Italy, UK, Belgium, Netherlands, France, and Germany.) - Continuous learning through a learning platform and optional language classes. - A supportive, trust-based culture that values well-being. - Team activities, offsites, and opportunities to connect beyond work. Additional Perks - Home office setup budget up to €1,000 - Paid trips to our HQ in Madrid - MacBook Pro M3 Ready to Join the Seedtag Adventure? At Seedtag, we create an environment where everyone can thrive. If you need accommodations during the hiring process, let us know and we’ll ensure a positive experience. Send us your CV and let’s build the future of neuro-contextual advertising together.

Title: 2026 Football Data Scout This role is considered fully remote: Currently SIS is only cleared to hire remote candidates in AL, AZ, CO, DE, FL, GA, IL, IN, LA, MA, MD, MI, MN, MO, MS, NC, NE, NJ, NV, NY, OH, OK, OR, PA, SC, TN, TX, UT, VA, WA, WI. If you live in any state not listed here, you will need to relocate to one of these states or close to the HQ in Bethlehem, PA Department: Football Reports to: Operations Analyst Position Overview SIS is looking for highly motivated individuals with a desire to work in the football industry. Data Scouts will have a chance to make an immediate impression on the company. Each Data Scout will be collecting data that is directly used by SIS clients for advance scouting and evaluation purposes. Not only will the Data Scouts become more familiar with the strengths and weaknesses of hundreds of college and professional players, but they will also learn the ins and outs of the ever growing football data industry. This position requires very high attention to detail and focus for at least eight hours straight. There will be times when the position will require you to work more than eight hours in a row to get assignments completed on time. We take pride in making the position a great development opportunity for those looking to get their start in the football industry. In addition to gaining invaluable experience watching at least three games a week, we offer introductory classes using the database management language, SQL. We also provide insight and advice from previous SIS Data Scouts who have branched out into a variety of areas in the sports industry. - This role is considered remote. Scout School Led by a former NFL scout, SIS offers Data Scouts the opportunity to learn more about writing scouting reports, learning about the critical factors for each position and what life is like as an NFL scout. Scout School is designed for Data Scouts who are looking to begin their career as a football scout or evaluator. At the end of the season, your scouting reports will be used in the 2025 NFL Draft website. Job Responsibilities Includes (but is not limited to): - Score NFL and college football games using specialized computer software - Review the accuracy and validity of data - Prepare and analyze statistical data for delivery to customers - Assist with additional projects as instructed by full-time staff - Provide administrative support to the full-time staff Qualifications - Demonstrated knowledge of NFL and NCAA rules - Ability to identify and differentiate between players - Computer proficiency and the ability to learn new software - High attention to detail - Football coaching or scouting experience is preferred but not necessary - Must be able to work nights, weekends & holidays Time Frame: - The position begins on Monday August 10th, 2026. This will last through Wednesday, December 2nd, 2026. Compensation: - $12/hour or state minimum wage (whichever is higher) - Data Scouts will earn overtime pay for extra hours. - College course credit will be offered for those interested. Hours: - Typical weekly schedule will consist of 40 hours, with the possibility of more if needed. Network Requirement: - Access to high-speed internet at a minimum of 75mbps to stream and share large video files About Sports Info Solutions Pioneers in the Sports Data Industry SIS was founded on the belief that decision making in sports could be improved and that we could help teams win more games through the use of better data, analytics, and technology. That belief has been validated repeatedly since our founding in 2002 as we continue to revolutionize the way the game is played on and off the field. Company overview Our mission is to enrich and optimize the decision-making process for sports teams, sportsbooks, and sports fans. We are proud to have been leaders in collecting, analyzing and distributing the deepest data sets and insights to professional sports teams across the MLB, NBA and NFL. We are now doubling down on what’s made us successful by further advancing our data, technology, insights and partners as we drive forward the next innovations in Sports Data and Analytics. EEO commitment SIS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, gender, national origin, age, veteran status, military status, disability, gender identity, sexual orientation, genetic information, or any other characteristic protected by law. In addition to federal law requirements, SIS complies with applicable state and local laws governing nondiscrimination in employment in every location where the company operates. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Abilities required These physical demands are representative of the physical requirements necessary for an employee to successfully perform the essential functions of the job. Reasonable accommodation can be made to enable people with disabilities to perform the described essential functions of the job. While performing the responsibilities of the job, the employee is required to talk and hear. The employee is often required to sit and use their hands and fingers, to handle or feel. The employee is occasionally required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl. Vision abilities required by this job include close vision, including intensive computer usage. Additional info Sponsorship is not available for this position. Applicants must be currently authorized to work in the United States on a full-time basis. Sports Info Solutions uses E-Verify and is an Equal Opportunity Employer. #LI-DNI

Role Description Une mission attractive sous la responsabilité d’un chercheur IRD, votre mission sera la production des données climatiques à partir des bases de données internationales pour leur application à l’élaboration de scénario d’évolution des plantes. - Compléter des bases de données climatiques disponibles pour une utilisation des acteurs de terrain au Sud en utilisant les nouveaux standards du GIEC sur les niveaux de réchauffement à +2C, +3C. - Apporter le conseil aux utilisateurs qui ont besoin de mettre en œuvre des méthodes et des outils statistiques. - Choisir et appliquer les méthodes statistiques existantes les plus pertinentes sur les corpus de données climatiques. - Développer des programmes spécifiques pour prendre en compte les particularités de l’analyse statistique. - Déterminer les logiciels les mieux adaptés et les plus performants pour l'étude ou le projet en cours. - Participer à la rédaction des rapports et des synthèses de présentation des résultats des analyses statistiques. Qualifications - Analyse statistique et capacité de codage en PYTHON et/ou R. - Familiarité avec les données climatiques modélisées sous différents scénarios d’émission. - Autonomie et rigueur. - Capacité de travail en équipe. - Capacité à communiquer dans un contexte pluridisciplinaire. - Diplôme de niveau 7 (Master 2 ou diplôme d’ingénieur) en statistique ou analyse de données avec une expérience dans l’analyse de données environnementales. Location Localisation : 911 AVENUE D'AGROPOLIS MONTPELLIER Application Elements Documents à transmettre : Pour postuler à cette offre, l'envoi du CV et d'une lettre de motivation est obligatoire.