Reddit Gigs💵 paid workby rdutelscored by google/gemini-2.5-flash

[Hiring] [Remote] [CET plus or minus 3 HOURS] - Senior Data Engineer (Azure) at Proxify (💸 $50k-$80K)

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💵 Funded work$50,000— see “Deliver it” below for how to respond.

Opportunity

AI-buildable

Traction

Creativity

The take

effort: ~3+ months

This is a job posting for a Senior Data Engineer specializing in Azure at Proxify, a remote-first company. The role involves software development with a salary range of $50k-$80k USD for candidates within CET +/- 3 hours time zones. It represents a direct, funded opportunity for a skilled individual.

Demand & gap

Painkillerdemand 86

Demand

Will. to pay

Gap

Buyer

Enterprise / orgs

The gap in what exists: Proxify has a clear unmet need for a Senior Data Engineer on Azure, a specialized and in-demand skill set.
Wedge to win: The wedge is to apply directly for the funded role, demonstrating specific Azure data engineering expertise and a strong cultural fit for remote work.
Reputation value (worth doing free for proof) — 50/100: Securing a senior role at a company like Proxify builds significant professional credibility and offers a stable income, but doesn't directly build the Lumivara brand publicly.
Likely monetization: full-time employment
Incumbents to beat: Other applicants for this specific roleConsulting firms offering Azure data engineering services

Deliver it

A starter prompt for Claude Code, what you'll need, and how to reach them.

You are a Senior Data Engineer with expertise in Azure cloud data services. Analyze the full job description for the 'Senior Data Engineer (Azure) at Proxify' on their career page (find the exact link from the Reddit post's 'apply here' link). Based on the requirements, generate a tailored resume (JSON format, highlighting relevant skills and projects), and a persuasive cover letter (markdown format) that emphasizes my experience with Azure Data Factory, Azure Synapse, Databricks, SQL, Python, and remote work. Include specific examples of how I've designed, built, and maintained scalable data pipelines and data warehouses in Azure. Also, outline key interview topics and potential questions I should prepare for, focusing on data modeling, ETL/ELT processes, performance optimization, and troubleshooting in an Azure environment.

Prerequisites — cost & what to learn

Updated resume with relevant Azure data engineering experienceFree · —✓ in your stack
LinkedIn profile optimized for data engineering rolesFree · —

How you'd build it

1Review the full job description and requirements on the Proxify careers page to understand exact tech stack and responsibilities.
2Tailor resume and cover letter to highlight experience with Azure Data Factory, Azure Synapse, Databricks, SQL, and Python.
3Prepare for technical interviews covering data modeling, ETL/ELT, cloud data architecture on Azure, and problem-solving.
4Showcase relevant project experience or portfolio items that demonstrate senior-level data engineering capabilities on Azure.
5Formulate a compensation expectation within the advertised range, considering location and experience.

Risks & moats

The operator's core expertise might not align perfectly with the specific Azure services or data engineering paradigms Proxify uses.
Competition for remote senior data engineer roles is high, requiring a strong application and interview performance.
The 'CET +/- 3 hours' requirement might limit the operator's flexibility if they are outside this time zone.
As a full-time position, this deviates from the solo product operator model and would consume all available time for Lumivara products.

Original context

Proxify is hiring a remote Senior Data Engineer (Azure). Category: Software Development 💸Salary: $50k-$80K 📍Location: Remote (CET +/- 3 HOURS) See more and apply here!   submitted by   /u/rdutel [link]   [comments]