🚀 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 🤓
- Define and maintain data architecture guidelines: Ingestion, transformation, storage, consumption, and governance patterns.
Provide strong, independent judgment in design reviews and architecture decisions across the client's data ecosystem.
Deliberately manage technical debt and uphold high standards for data testing, observability, and CI/CD pipelines.
Act as the trusted technical liaison: Translate business needs into technical solutions, and technical decisions into executive-level language.
Identify opportunities to evolve the scope of our services and shape them into technical-commercial proposals.
Required Skills ( Must Haves)💻
- Proven track record as a Senior Data Engineer or Data Architect, with hands-on experience leading technical teams in production environments.
- Expert command of dbt, Airflow (MWAA), Redshift, S3, and advanced SQL.
- Experience working within highly complex enterprise or corporate organizations.
- Ability to design architectures and propose solutions from scratch, rather than just executing pre-defined plans.
- Strong communication and negotiation skills across all organizational levels—from engineers to the board of directors.
Required Skills ( Nice to Haves) 💻
- DataOps and CI/CD applied to data: GitHub Actions, Terraform, Docker.
- Lakehouse architectures.
- Legacy-to-cloud migrations.
- Data Mesh and distributed data ownership.
- Governance and cataloging tools: OpenMetadata, DataHub, Atlan, or similar.
- AI Agents applied to data: LangGraph, LangChain, LiteLLM, RAG.
- AI-assisted development integrated into real workflows (not just concept demos).
- Cloud certifications (AWS Data Engineer, Solutions Architect, or equivalent).
🎁 Perks
- 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!
Skills Required
- Experience working on production data platforms at scale.
- Experience working in banking, financial services, or large enterprises.
- Ability to design architectures and propose solutions to complex data problems.
- Hands-on experience with dbt, Airflow, Amazon Redshift, Amazon S3, and SQL.
- Experience implementing data testing and observability practices (dbt tests, Elementary Data, Great Expectations or similar).
- Strong communication skills and ability to collaborate with multiple stakeholders and technical teams.
What We Do
Mutt Data is a technology company that helps startups and big companies build and implement Machine Learning & AI solutions that drive real business results. Whether you work in finance, insurance, advertising, telcos, on-demand services or e-commerce, our solutions will help you get ahead of your competition with the latest technologies, techniques and best practices. We Are Astronomer, Amazon, Databricks, GCP and H2O Consulting Partners. We Are #DataNerds
