Muttdata
Technology
DataEngineerSenior-DBT
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Engineer Senior - DBT at Muttdata. Skills: Data Engineering, Machine Learning, Dbt, AWS. Design, develop, and maintain Data Products. Build, optimize, and operate data pipelines”
Industry & Context.
Root cause analysis; Troubleshooting; Optimization
What They're Looking For.
Must Have
Experience in Data Engineering, Building and optimizing data pipelines, Knowledge of SQL, Python (Pandas, Numpy, Jupyter), Experience working with dbt, Cloud platforms such as AWS, Basic knowledge of Docker, Experience with orchestration tools like Airflow or Prefect
Nice to Have
Familiarity with modern data stack tools, Snowflake is a plus, Familiarity with a BI visualization tool like Looker or Tableau
What You'll Do.
and maintain Data Products
and operate data pipelines
Collaborate with multiple business and data domains
Develop and maintain analytical data models
and promote engineering standards
Drive initiatives related to Data Quality
Contribute to the adoption of version control
Support the evolution and scaling of the bank's
Partner with stakeholders to foster a data-driven culture
Participate in initiatives related to AI
Mentor and influence engineering teams
Collaborate with cross-functional teams
How You'll Work.
Team & Collaboration
Cross-functional teams; Data domains; Business domains
Communication Scope
English Lessons
Process & Methodology
CI/CD, Development workflows
Full Job Description
## Description 🚀 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 Data Engineer Senior 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 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 🔍 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 🤓 Design, develop, and maintain Data Products following Data Mesh principles, enabling scalable and reusable data consumption across the organization. Build, optimize, and operate data pipelines using modern data engineering practices and tools such as dbt, Airflow, and cloud-based data platforms. Collaborate closely with multiple business and data domains to understand requirements and deliver high-quality data solutions. Develop and maintain analytical data models that s
Applying for this Data Engineer Senior - DBT role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Lever
- Lever uses a streamlined one-page form — apply in under 5 minutes.
- LinkedIn import works well; review parsed data before submitting.
- The cover letter field is optional but visible to reviewers — use it to differentiate.
- Referral codes from employees can significantly boost visibility of your application.
ANONYMOUS · UNFILTERED
What do employees actually say about Muttdata?
Real rants from real employees. Read before you apply.