Data Engineer

About Muttdata

Muttdata is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies. We are looking for a Data Engineer 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

• Leverage our expertise to build modern Machine Learning systems for demand planning and budget forecasting.
• Develop scalable data infrastructures to enhance high-level decision-making, tailored to each client.
• Offer comprehensive Data Engineering and custom AI solutions, optimizing cloud-based systems.
• Utilize Generative AI to help e-commerce platforms and retailers create higher-quality ads, faster.
• Build deep learning models to enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
• Develop recommendation models to 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

Responsibilities

• Collaborate with the team to define goals and deliver custom data solutions.
• Innovate with new tools to improve Mutt Data’s infrastructure and processes.
• Design and implement ETL processes, optimize queries, and automate pipelines.
• Own projects end-to-end—build, maintain, and improve data systems while working with clients.
• 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 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, DBS or DBT).
• Basic 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.
• Solid command of English for understanding and communicating technical concepts (Design Documents, etc.).

Perks

• 🚀 In-Company English Lessons.
• 🚀 AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered.
• 🎂 Birthday off.
• 🤝 Referral bonuses – help us grow the team & get rewarded!
• ✈️ 🏝️ Annual Mutters’ Trip – an unforgettable getaway with the team!

AI in Hiring

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.