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AI Summary
Define and maintain data architecture guidelines while acting as a technical liaison between business needs and engineering teams. Manage technical debt and identify opportunities to evolve service offerings into technical-commercial proposals.
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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 Enabler to join our team and help design and evolve large-scale data platforms for a major banking project currently undergoing a data modernization process. If you consider yourself a data nerd like us, we’d love to connect! 🐶🚀
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- 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.
- Amazon Web Services
- Astronomer
- Databricks
- 📊 We are Data Nerds
- 🤗 We are Open Team Players
- 🚀 We Take Ownership
- 🌟 We Have a Positive Mindset
- 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.
- 7+ years of experience as a PM / Functional Analyst on data or technology projects, ideally in banking, financial, or other highly regulated environments.
- Working knowledge of dbt and modern data architecture concepts (ingestion, transformation, storage, consumption) — enough to read designs critically and ask the right questions, not necessarily to build them.
- Strong requirements-gathering and documentation skills: able to translate ambiguous business asks into clear functional specs for engineering teams.
- Experience facilitating design reviews and architecture discussions, bringing structure and independent judgment even without writing the code.
- Familiarity with data governance, testing, and CI/CD practices from a functional/oversight standpoint.
- Excellent stakeholder management: comfortable moving between engineering conversations and executive updates.
- Ability to spot opportunities for service growth and turn them into technical-commercial proposals.
- Exposure to modern data stack tools (Snowflake, BigQuery, Airflow, Fivetran, etc.) as a user/analyst, not necessarily as a builder.
- PM certifications (PMP, Scrum, SAFe) or Business/Functional Analysis certifications (CBAP, IIBA).
- 🌍 Remote-first culture – work from anywhere!
- 🚀 In-Company English Lessons.
- 💪 Wellhub or sports club stipend to stay active
- 🚀 AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
- 🍕 Food credits via Pedidos Ya – because great work deserves great food.
- 🎂 Birthday off + an extra vacation week (Mutt Week! 🏖️)
- 🤝 Referral bonuses – help us grow the team & get rewarded!
- ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
- 👶 Monthly Childcare Reimbursement – Because supporting families matters too
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