Muttdata · 2 lowongan terbukaBaru

#6 - Data Engineer Semi Senior - Databricks

WorldwideEngineeringSenior1 bulan lalu
Gaji (perkiraan)
Tidak dicantumkan
Tanyakan saat wawancara
Wilayah
Worldwide
Remote
Tipe kerja
Tidak disebut
Remote penuh
Level
Senior
Zona waktu
Fleksibel / tidak disebut
Diposting
10 September 2026
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Keahlian yang disebut

PythonAWSGCPAzureKubernetesMachine LearningSparkdbtPower BI

Benefit yang disebut

  • Bonus

Deskripsi pekerjaan

2 menit baca

🚀 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 Semi 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 🤓

  • 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

  • Experience in Data Engineering, including building and optimizing data pipelines
  • Experience working with Databricks, Python, and Spark, building batch and streaming
  • Basic/Intermediate level of English
  • Familiarity with a BI visualization tool like Power BI

Nice to Have Skills 😉

  • Hands-on experience with Databricks (Workflows, Jobs, Repos)
  • Experience with other cloud providers (AWS, GCP)
  • Experience with Kubernetes in production environments

🎁 Perks

  • 🌍 Remote-first cultur e – 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

Hitung gaji bersih dalam rupiah

Kotor per bulanRp0
Biaya transfer & kurs− Rp0
Perkiraan PPh 21 per bulan − Rp0
Diterima bersih per bulanRp0
Bersih setahunRp0

Perkiraan kasar: kurs USD Rp17.800; pajak dihitung sebagai penghasilan orang pribadi (tarif progresif PPh 21, dikurangi PTKP), tanpa NPPN, iuran BPJS, atau potongan lain. Bukan nasihat pajak; cek ketentuan terbaru atau konsultan pajak.

Buka kalkulator gaji lengkap →

Tips melamar

  1. Sebutkan lokasi dan zona waktumu di bagian atas CV, mis. Jakarta, Indonesia (GMT+7).
  2. Sesuaikan ringkasan CV dengan kata kunci di deskripsi, terutama Python, AWS, GCP.
  3. Tulis hasil kerja dengan angka (mis. "menangani 60 tiket/hari"), bukan hanya tugas.
  4. Perusahaan resmi tidak pernah meminta biaya untuk melamar atau wawancara.
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