Logo for MUTT DATA

Data Engineer Lead dl

Role overview

Qualifications

  • Experience in Data Engineering, including building and optimizing data pipelines.
  • Experience with Databricks, Python, and Spark, including batch and streaming processing.
  • Advanced English proficiency.
  • Familiarity with BI visualization tools such as Looker or Tableau.

Responsibilities

  • Co-develops batch and streaming pipelines, semantic models, and transformations on Databricks (Python/Spark).
  • Defines and maintains data contracts, quality rules, and data SLOs for each data product.
  • Guides domain teams on data modeling and data product boundaries (what belongs to which product/domain).
  • Trains, mentors and pairs with domain engineers/analysts on data product ownership and good engineering practices.

About the company

MUTT DATA logo

MUTT DATA

Artificial Intelligence & Machine Learning Services

Mutt Data is a technology company that helps startups and big companies build and implement Machine Learning 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 Consulting Partners. We Are #DataNerds.

Company details

Company typeScaleup
IndustryArtificial Intelligence & Machine Learning Services
Company size51 - 200

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

πŸš€ Join Our Data Products and Machine Learning Development Remote Startup! πŸš€
 
Mutt Data 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 Lead to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect! πŸΆπŸš€

πŸš€ 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
  • πŸ“Š We are Data Nerds
  • πŸ€— We are Open Team Players
  • πŸš€ We Take Ownership
  • 🌟 We Have a Positive Mindset
  •  
    πŸ” 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! πŸš€

    Responsibilities πŸ€“
  • Co-develops batch and streaming pipelines, semantic models, and transformations
    on Databricks (Python/Spark).
  • Defines and maintains data contracts, quality rules, and data SLOs for each data
    product.
  • Guides domain teams on data modeling and data product boundaries (what
    belongs to which product/domain).
  • Trains, mentors and pairs with domain engineers/analysts on data product
    ownership and good engineering practices.
  • Captures feedback and best practices from domains and feeds improvements back
    into platform templates, tooling, and patterns.

  • Required Skills πŸ’»
  • Experience in Data Engineering, including building and optimizing data pipelines.
  • Experience working with Databricks, Python, and Spark, building batch and streaming.
  • English Advanced Level.
  • Familiarity with a BI visualization tool like Looker or Tableau.

  • 🎁 Perks
  • 🌍 Remote-first culture – work from anywhere!
  • πŸš€ In-Company English Lessons.
  • πŸ’ͺ Wellhub or sports club stipend to stay active
  • πŸš€ AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
  • πŸ• Food credits via Pedidos Ya – because great work deserves great food.
  • πŸŽ‚ Birthday off + an extra vacation week (Mutt Week! πŸ–οΈ)
  • 🀝 Referral bonuses – help us grow the team & get rewarded!
  • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
  • Apply once. Then go straight to the hiring manager.

    After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

    MR

    Marcus Rivera

    Chief Revenue Officer

    m.rivera@company.com
    linkedin.com/in/marcusrivera
    Unlocked after you apply
    Β·

    Data Engineer Related jobs

    Other jobs at MUTT DATA

    Premium

    Reach out to the hiring manager directly.

    Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

    • Full match report with fit score and gaps
    • Career diagnostics on how recruiters read you
    • Curated company matches and warm intros
    • 48h early access to new roles

    Cancel anytime.