Hey, at Bdeo we're on a mission to transform the insurance world with cutting-edge Visual Intelligence tech!
Our fast-paced, agile teams are at the forefront of innovation, building game-changing products that are shaking up the industry.
Tech is our superpower, and our teams are packed with talented, driven professionals from across the globe, all working together to tackle complex challenges and push boundaries with AI-driven solutions.
About the role As a Mid-Level Data Developer at Bdeo you'll play a critical role in our data team:
Bridging the gap between data science research and the delivery of product features. Being responsible for implementing robust data solutions, optimizing pipelines, and ensuring the seamless integration of AI models into production environments. Working with a product-oriented agile squad, focusing on designing, implementing, and deploying new and innovative AI solutions. Collaborating with talented people from different backgrounds such as data scientists, MLops engineers, analytics engineers, product managers, software engineers, QA engineers. Promoting knowledge sharing and best practices across the team. What You'll Do Develop and Maintain Data Solutions: Build and optimize data solutions to fulfill product delivery needs. Performance Optimization: Refactor and optimize Python code to improve efficiency and scalability of existing workflows. Tooling and Automation: Create internal tools to support the delivery of features related to data science. Data Management: Collaborate on data cleaning, transformation, and structuring to enable advanced analytics. Model Integration: Work closely with data scientists to test and integrate machine learning models into production. Cross-Team Collaboration: Work with MLOps engineers to improve CI/CD pipelines for machine learning applications and ensure robust monitoring of deployed systems. Who are we searching for 1+ years of professional experience in Python development. Proficiency in Python with a strong focus on writing clean, efficient, and maintainable code. Experience in Data Pipelines: ETL and data workflow orchestration. Cloud Expertise: Familiarity with cloud platforms like AWS, GCP, or Azure. Frameworks & Libraries: Working knowledge of Pandas, NumPy, and similar libraries. Basic ML Knowledge: Understanding of machine learning lifecycle and concepts to collaborate effectively with data scientists. Database Skills: Experience with relational (e.g., PostgreSQL) and NoSQL (e.g., DynamoDB, MongoDB) databases. Problem-Solving: Strong analytical skills and the ability to debug and solve complex technical challenges. Eager to keep improving yourself with the latest technologies. Fluent in English written and spoken. Nice to haves: Industry experience working on machine learning. Experience with LLMs for assistance and automation of tasks. Product-oriented and proactive mindset to propose and implement new solutions. Experience with agile methodologies such as Scrum and Kanban. Experience with MLOps tools (Docker, MLflow). Data science background or related fields. Exposure to Machine Learning: Hands-on experience deploying or retraining models is a plus. Experience using RestAPI frameworks. Fluency in Spanish. About Us:
At Bdeo, our mission is to empower the insurance and fleet management industries through cutting-edge Visual Intelligence.
Our AI-powered technology, accessible via smartphone, allows for remote analysis and detection of vehicle damage, providing triage and cost estimates that help companies streamline and optimize underwriting and claims management processes.
We focus on two core business areas:
Motor Solutions Property Solutions Our recent achievements: Operating in 29 countries and expanding, with a multicultural team of #Bdoers representing over 14 nationalities. Recognitions: AI Fintech Global 2023, FinTech Global's Insurtech100 in 2023, Wired's Hottest Startups in Europe and among the top 10 most relevant startups in Madrid in 2023, and ITC DIA Europe top 100 insurtechs to watch in 2024. Additional honors: Claims Excellence Awards 2024 (Nominee), Forbes Spain's 2024 list of 100 Most Creative People in Business featuring Julio Pernía and Bdeo, and recognized among the World's Top Insurtech Companies 2024 by CNBC and Statista. Our growth is backed by top-tier investors, including Wayra and Telefónica Seguros through Íope Ventures, Hollard, Armilar, and CDTI, alongside returning investors K Fund and Blackfin—and we couldn't be more excited for the journey ahead!
Our Values: We think BIG and are BOLD. We always go the extra mile. We genuinely CARE about each other. We stay laser-focused on customer success. Our benefits: If you join us, you will be able to enjoy the following perks:
Holidays:
Besides the 23 days of vacation per year (plus Spanish public holidays), you will enjoy:
Paid time off on the 24th & 31st of December.
Paid time off on your birthday (you will have to take to the office the most delicious birthday cake, in return!
).
Organisation:
Flexible working hours.
Intensive working hours on Fridays & Summer (8 am - 3 pm).
Hybrid work from home methodology (3 days per week plus 6 complete weeks per year).
Health:
Private medical & Dental insurance policy.
Flexible compensation scheme: meals, transport, training and kindergarten (Cobee).
Free fruit, tea & coffee every day.
Training:
A budget per employee per year to enjoy any activity that you think could be useful to improve your training in your position (books, events, courses).
An internal training plan based on useful knowledge for everybody in the team.
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