Data Engineer Senior - DBT

🚀 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

Amazon Web Services
Astronomer
Databricks

🌟 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!