Role overview

Data Engineer Senior dl

Requirements and responsibilities

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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

Responsibilities πŸ€“

  • Co-develops batch and streaming pipelines, semantic models, and transformationson Databricks (Python/Spark).
  • Defines and maintains data contracts, quality rules, and data SLOs for each dataproduct.
  • Guides domain teams on data modeling and data product boundaries (whatbelongs to which product/domain).
  • Trains, mentors and pairs with domain engineers/analysts on data productownership and good engineering practices.
  • Captures feedback and best practices from domains and feeds improvements backinto 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.
  • Intermediate level of English.
  • Familiarity with a BI visualization tool like Looker or Tableau.

🎁 Perks

  • Remote-first culture – work from anywhere! 🌍
  • AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
  • In-Company English Lessons.
  • Birthday off + an extra vacation week (Mutt Week! πŸ–οΈ)
  • 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!
  • πŸ‘Ά Monthly Childcare Reimbursement – Because supporting families matters too
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Browse stack
FocusData EngineeringRole area
Seniority signalSeniorCandidate level
StackAWS, Azure, PythonPrimary skills
Location1 accepted countryEligibility

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