Data Platform Engineer, Mid-level

🔥 1 minute ago

🇮🇹 Italy – Remote

💵 €33k - €43k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 7%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ShippyPro

WebsiteLinkedInAll Job Openings

51 - 200 employees

📦 Logistics

🛍️ eCommerce

☁️ SaaS

💰 $5M Series A on 2021-07

Logistics • eCommerce • SaaS

ShippyPro is a company that supports eCommerce brands by enhancing delivery speed and efficiency, as well as automating tracking and returns processes. Founded in 2016, ShippyPro is on a mission to revolutionize logistics by developing and launching innovative products that meet the delivery expectations of customers. The company continues to grow, expanding its team and product offerings to better serve its clientele. ShippyPro operates as a Software as a Service (SaaS) platform, helping businesses streamline their logistics operations with modern, scalable solutions.

📋 Description

• Read and assess existing CI/CD pipelines to determine whether tasks require adaptation or new work • Extend infrastructure-as-code following repository patterns • Apply data engineering and governance standards, including naming conventions, access control, and retention • Build self-serve tooling from existing patterns • Create and own a template repository with CI, IaC, and governance pre-wired • Develop modules that make creating a new pipeline a one-command job • Write practical documentation • Own the access-request flow for data resources • Own the template repository and IaC modules and make roadmap decisions • Report to the Data Team Leader • Collaborate across data engineering, backend, and infrastructure work

🎯 Requirements

• Independently owned a deployment path end to end, including writing the pipeline, fixing production issues, and writing the runbook • Ability to open unfamiliar code, explain what it does, and identify likely failure points • Approximately 2 years of professional experience • Python and SQL proficiency for daily work • Docker experience • Cloud exposure; AWS should not be a new concept • Comfort moving between data engineering, backend, and infrastructure work • Ability to use AI tools such as Copilot, Claude, or Cursor and defend the generated output • This is not a frontend or ML research role; no model training is required

🏖️ Benefits

• Meal vouchers (office or remote) • Mental health support & fitness benefits • Yearly learning budget and AI tools • Remote flexibility with expenses-paid trips to HQ for team meetups • No clock-in/out policy • One-time home office allowance • Birthday Time Off — one extra day off • Career Growth Program with clear growth paths, structured goals, and continuous feedback • International team