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Mediaradar

Software Engineer

  • Seen live on Mediaradar's site today
  • Mid level
Pay
Not stated
Location
Madrid, Community of Madrid, Spain
Open for
10+ days
First seen
Oct 25, 2026

Posting record

No flags

Open 10+ days

The posting's record, oldest first
  1. Mediaradar's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Mediaradar, so its true age is longer.

Last checked Nov 4, 2026.

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What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

Location: Madrid, Spain (Remote — with regular in-person collaboration at a local WeWork alongside our Madrid tech team)

About MediaRadar

MediaRadar , now including the data and capabilities of Vivvix, powers the mission-critical marketing and sales decisions that drive competitive advantage. Our competitive advertising intelligence platform enables clients to achieve peak performance with always-on data and insights that span the media, creative, and business strategies of five million brands across 30+ media channels. As we expand our footprint from the US into Europe and deepen our focus on media intelligence, we're looking for engineers who can help scale our platform and products globally.

About the Role

We're looking for a Software Engineer I to join our engineering team and grow into a well-rounded, full-stack contributor. In this role, you'll build and maintain features across our platform under the guidance of senior engineers, developing expertise in our core stack while contributing to real, high-impact work from day one.

This is a great fit for a developing engineer who wants to sharpen their craft on a modern, cloud-based platform, while gaining exposure to the advertising, media, and data-intelligence space.

Stack Highlights

Core: Strong Python proficiency is a must; comfort with additional languages (C#, Java, Node.js) a plus.

Cloud: Hands-on experience with AWS and/or Azure is a must.

Data: SQL (SQL Server, Postgres), with Databricks/ETL experience a plus.

AI/Agentic: Experience with LLM-powered or agentic systems (LangChain, multi-agent orchestration, RAG) is highly valued.

Productivity: Use of modern AI coding assistants (Copilot, ChatGPT) to accelerate development.

Requirements

Key Responsibilities

  • Feature Development: Own moderately complex, well-scoped features end-to-end — from design through implementation, testing, and deployment.
  • Full-Stack Contribution: Build across the stack (UI, business logic, database access, external interfaces) on our internal and client-facing applications.
  • Cloud & Quality: Apply cloud-based deployment practices (AWS/Azure) and write clean, tested, well-documented code.
  • Collaboration: Work with Product, Data, and other Engineering teams, escalating non-standard or higher-risk situations to senior engineers.
  • Code Reviews: Participate actively in code reviews and apply feedback to raise the quality of your work.

Key Qualifications

  • Experience Level: Roughly 1–3 years of professional software engineering experience (Intermediate level).
  • Python: Strong working proficiency in Python is required.
  • Cloud: Some hands-on experience with a major cloud provider (AWS or Azure) is required.
  • Industry Relevance: Exposure to adtech, advertising, media, analytics, or competitive-intelligence platforms is a strong plus.
  • SQL: Comfortable writing and troubleshooting SQL queries.
  • Nice to Have: Familiarity with LLM/agentic frameworks (LangChain or similar), or exposure to sports-media data.
  • Software Rigor: Solid testing habits, clean code practices, and a collaborative, growth-oriented mindset.
  • Professional fluency in written and spoken English: Strong communication skills to effectively collaborate with distributed engineering, product, and business teams across North America, India, and Europe.

Skill Focus for 2026/2027

  • Agentic Insights: Building foundational skills in AI-driven, customizable insight generation for our Insights Studio product line.
  • Global Expansion: Supporting platform work as MediaRadar expands its footprint from the US into Europe.
  • Sports & Media Intelligence: Gaining exposure to our data and attribution work in sports-focused advertising and media.

Benefits

At MediaRadar, we are committed to creating an inclusive and accessible workplace where everyone can thrive. We believe that diversity of backgrounds, perspectives, and experiences makes us stronger and more innovative. We are proud to be an Equal Opportunity Employer and make employment decisions without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, or any other legally protected status.

In accordance with the EEO-1 reporting requirements, we collect demographic data as part of our efforts to ensure fair and equitable hiring practices across all levels of our organization.

We are committed to ensuring our recruitment process is accessible to all applicants. If you need a reasonable accommodation during the application or interview process, please contact us at careers@mediaradar.com .

We’re excited to meet people who share our values and want to build the future with us!

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