Data Engineer Senior - DBT

🚀 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

• 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!