Senior Data Engineer – AI-Native, Data Layer

Job not on LinkedIn

🕒 July 22

🇪🇺 Europe – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 29%

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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Proton.ai

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📦 Logistics

📣 Marketing

💰 $20M Series A on 2022-01

Consulting • Logistics • Marketing

Proton. ai is an AI-powered CRM platform specifically designed for distribution teams to enhance sales processes, increase efficiency, and provide actionable insights. It centralizes important sales and customer data by integrating with various ERP and eCommerce platforms, enabling distributors to easily access, analyze, and act on information. With features like personalized recommendations, lead tracking, and efficiency-focused tools, Proton helps sales representatives prioritize efforts and anticipate customer needs. It also automates workflows and streamlines processes, allowing teams to focus on customer engagements rather than administrative tasks. Proton aims to foster accountability and performance across sales, marketing, customer service, and management functions within distribution businesses.

📋 Description

• Own the Data Layer end to end, including ingestion, medallion-style modeling, and the serving layer powering the product and AI brain • Build and operate ingestion and transformation pipelines using a modern orchestration framework and cloud data warehouse • Ingest and reconcile large, messy real-world data from batch files, streaming events, and APIs • Model data across raw, refined, and curated layers for trustworthy, queryable, stable downstream use • Improve Data Layer architecture, tooling, scale, and source coverage • Operate AI coding agents to scope work, structure context, run agents in parallel, and ship reviewed production-quality output • Build validation, reconciliation, lineage, backfill, idempotent, and incremental-load systems • Partner with backend, AI, and product engineers and occasionally customers' IT teams to define data contracts

🎯 Requirements

• 7+ years hands-on as a data engineer with real, demonstrable production ownership • Strong programming and SQL skills • Ability to read query plans, reason about slow or expensive pipelines, and debug data-correctness bugs to their root • Hands-on orchestration experience building reliable ingestion/ELT pipelines against messy upstream sources • Experience with a cloud data warehouse and a major cloud platform • Experience ingesting file-based, event/streaming, and API-based sources • Solid grasp of partial loads, late or out-of-order data, idempotency, backfills, and schema drift • Daily hands-on use of agentic development tools such as Claude Code, Cursor agent mode, Codex, or equivalent • Ability to structure prompts, manage context, parallelize agents, and verify their output • Ownership and judgment taking data systems from idea to production • Startup mindset and strong communication • English at C1 or above

🏖️ Benefits

• No explicit benefits, perks, or compensation extras stated