Data Engineer Lead

Job description

🚀 **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 Lead** 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. ### 🌟 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**](https://blog.muttdata.ai/tag/Case%20Studies/1) and dive into our [**blog pos**](https://blog.muttdata.ai/)**t** to learn more about our culture and the exciting projects we’re working on! 🚀 ### Responsibilities 🤓 - Partner with cross-functional teams to define BI and analytics requirements - Innovate with new tools to improve Mutt Data's infrastructure and processes. - Design dimensional data models and build scalable data pipelines - Develop data models to feed dashboards for teams across the org, as well as client-facing analytics - Develop tools for the team and assist in tech migrations and model design. - Build scalable, high-performance data architectures. - Focus on code quality—review, document, test, and integrate CI/CD. ### Required Skills 💻 - Experience leading and mentoring teams in Data projects, guiding technical decisions, and fostering team growth. - Proven ability to collaborate with stakeholders, translate business needs into technical solutions, and align priorities across teams. - Experience in Data Engineering, including building and optimizing data pipelines. - Strong knowledge of SQL and Python (Pandas, Numpy, Jupyter). - Experience working with any cloud (AWS, GCP, Azure or DBT). - Knowledge of Docker. - Experience with orchestration tools like Airflow or Prefect. - Familiarity with ETL processes and automation. ### Nice to Have Skills 😉 - Experience with stream processing tools like Kafka Streams, Kinesis, or Spark. - Knowledge of Kubernetes. - Solid command of English for understanding and communicating technical concepts (Design Documents, etc.). ### 🎁 Perks - **Remote-first culture** – work from anywhere! 🌍 - **AWS, DBT, Google Cloud, Azure & Databricks** certifications fully covered - In-Company **English Lessons.** - **Birthday off + an extra vacation week** (Mutt Week! 🏖️) - **Referral bonuses** – help us grow the team & get rewarded! - **[Maslow](https://maslow.hr/):** Monthly credits to spend in our benefits marketplace. - ✈️**🏝️ [Annual Mutters' Trip](https://www.youtube.com/watch?v=dq1x2krHGb8&t=2s)** – an unforgettable getaway with the team!