Data Engineer Lead

🚀 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
• Google Cloud
• Astronomer
• Databricks
• Kaszek
• Product Minds
• H2O.ai
• Soda

🌟 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 🤓

• Collaborate with the team to define goals and deliver custom data solutions.
• Innovate with new tools to improve infrastructure and processes.
• Design and implement ETL processes, optimize queries, and automate pipelines.
• Own projects end-to-end, working directly with clients.
• Mentor and support team members, helping them deepen their knowledge in Data Engineering and model design.
• Lead data pipeline development and guide technical decisions.
• Act as a liaison between the team and stakeholders, ensuring alignment.
• Foster team autonomy while ensuring smooth collaboration.
• Contribute to technical research and stay ahead of solutions for future projects.
• Focus on code quality—review, document, test, and integrate CI/CD.
• Participate in candidate interviews and evaluations to help Mutt grow.

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).
• 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 & 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: Monthly credits to spend in our benefits marketplace.
• ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!