🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀
Muttdata is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.
We’re looking for a Data Engineer Senior to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect! 🐶🚀
🚀 What We Do
- Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
- Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
- Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
- Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
- Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
- Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.
🌟 Our Partnerships
🌟 Our Values
- 📊 We are Data Nerds
- 🤗 We are Open Team Players
- 🚀 We Take Ownership
- 🌟 We Have a Positive Mindset
🔍 Curious about what we’re up to? Check out
our case studies and dive into our
blog post to learn more about our culture and the exciting projects we’re working on! 🚀
Responsibilities 🤓
- Design, develop, and maintain Data Products following Data Mesh principles, enabling scalable and reusable data consumption across the organization.
- Build, optimize, and operate data pipelines using modern data engineering practices and tools such as dbt, Airflow, and cloud-based data platforms.
- Collaborate closely with multiple business and data domains to understand requirements and deliver high-quality data solutions.
- Develop and maintain analytical data models that support reporting, analytics, and advanced data use cases.
- Define, implement, and promote engineering standards, best practices, and development workflows across data teams.
- Drive initiatives related to Data Quality, Data Governance, testing, observability, and reliability of data products.
- Contribute to the adoption of version control, CI/CD, and modern software engineering practices within the data ecosystem.
- Support the evolution and scaling of the bank's data platform, helping establish consistent processes and standards across domains.
- Partner with stakeholders to foster a data-driven culture and ensure the discoverability, accessibility, and usability of data assets.
- Participate in initiatives related to AI, intelligent data consumption, and emerging technologies that enhance how users interact with and leverage data.
- Mentor and influence engineering teams in the adoption of new tools, technologies, and ways of working.
- Collaborate with cross-functional teams to continuously improve the architecture, performance, and scalability of data solutions.
Required Skills 💻
- Experience in Data Engineering, including building and optimizing data pipelines.
- Strong knowledge of SQL and Python (Pandas, Numpy, Jupyter).
- Experience working with dbt for data transformation and cloud platforms such as AWS. Familiarity with modern data stack tools, including Snowflake, is a plus.
- Basic knowledge of Docker.
- Experience with orchestration tools like Airflow or Prefect.
- Familiarity with a BI visualization tool like Looker or Tableau.
🎁 Perks
- 🌍 Remote-first culture – work from anywhere!
- 🚀 In-Company English Lessons.
- 💪 Wellhub or sports club stipend to stay active
- 🚀 AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
- 🍕 Food credits via Pedidos Ya – because great work deserves great food.
- 🎂 Birthday off + an extra vacation week (Mutt Week! 🏖️)
- 🤝 Referral bonuses – help us grow the team & get rewarded!
- ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
