RemoteListed Jul 23, 2026
Data Engineer Lead
Mutt Data
- Data Science
- Data-Analytics
- Data-Engineer
- Data-Engineering
- Data-Engineering-Lead
- Data-Engineering-Team-Lead
- Lead-Data-Engineer
- Senior-Data-Engineering-Leader
- Team-Lead-(Data-Engineering)
Assessed from original listing evidence
The role
Job description
๐ Join Our Data Products and Machine Learning Development Remote Startup! ๐Muttdata is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning [link removed]โre looking for a Data Engineer Lead to help take our expertise to the next level. If you consider yourself a data nerd like us, weโd love to connect! ๐ถ๐
๐ 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.
๐ Our Partnerships
- Amazon Web Services
- Astronomer
- Databricks
๐ Our values
- ๐ We are Data Nerds
- ๐ค We are Open Team Players
- ๐ We Take Ownership
- ๐ We Have a Positive Mindset ๐ Curious about what weโre up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects weโre working on! ๐
Responsibilities ๐ค
- Partner with cross-functional teams to define BI and analytics
requirements - Innovate with new tools to improve Mutt Data's infrastructure and processes.
- Design dimensional data models and build scalable data pipelines
- Develop data models to feed dashboards for teams across the org, as well
as client-facing analytics - Develop tools for the team and assist in tech migrations and model design.
- Build scalable, high-performance data architectures.
- Focus on code qualityโreview, document, test, and integrate CI/CD.
Required Skills ๐ป
- Experience leading and mentoring teams in Data projects, guiding technical decisions, and fostering team growth.
- Proven ability to collaborate with stakeholders, translate business needs into technical solutions, and align priorities across teams.
- 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 or DBT).
- Knowledge of Docker.
- Experience with orchestration tools like Airflow or Prefect.
- Familiarity with ETL processes and automation.
Nice to Have Skills ๐
- Experience with stream processing tools like Kafka Streams, Kinesis, or Spark.
- Knowledge of Kubernetes.
- Solid command of English for understanding and communicating technical concepts (Design Documents, etc.).
๐ Perks
- Remote-first culture โ work from anywhere! ๐
- AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
- In-Company English Lessons.
- Birthday off + an extra vacation week (Mutt Week! ๐๏ธ)
- Referral bonuses โ help us grow the team & get rewarded!
- Maslow: Monthly credits to spend in our benefits marketplace.
- โ๏ธ๐๏ธ Annual Mutters' Trip โ an unforgettable getaway with the team!
Originally posted on Himalayas
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