DataOps Engineer Specialist

🚀 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 DataOps Engineer Specialist to help take our expertise —and our optimization platform SaaS— to the next level. If you consider yourself a data nerd like us, we’d love to connect!  As a key contributor, you'll play a pivotal role in designing, deploying, and maintaining the data platform and infrastructure which is the cornerstone of our product for marketing campaign budget optimization and allocation, Mixilo. You’ll work closely with the product team and business stakeholders, bringing robust systems into production, introducing fresh technical insights, and ensuring our models are fed 24/7 with updated, quality data, to deliver real business impact. If you thrive on building and deploying scalable data pipelines, solving complex challenges, and shaping products that drive decision-making at scale, we’re eager to connect with you! 🐶🚀 🚀 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

Responsibilities 🤓

Design and maintain scalable cloud data architectures ready for production environments

Build and manage data pipelines using tools such as Airflow, dbt, and Airbyte

Implement Infrastructure as Code (Terraform) to provision and manage AWS resources

Manage containerized workloads in Kubernetes (EKS)

Ensure reliability, performance, and maintainability of data systems

Improve CI/CD pipelines and automation practices

Contribute to technical decisions and best practices within projects

Required Skills 💻

Senior Data Engineering foundations (5+ years)

Strong experience in Python and deep mastery of SQL and Postgres

Hands-on experience with modern Data Stack tools

Solid understanding of AWS services (S3, EC2, RDS, IAM, Athena, EMR, Glue, etc.)

Experience designing analytical systems over Data Lakes

Proficiency with Terraform, Docker, and Kubernetes

Strong ownership mindset and high technical autonomy

🎁 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: Monthly credits to spend in our benefits marketplace.

✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!