Backend Engineer – Data & Orchestration

🕒 September 15

🇩🇪 Germany – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.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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Melotech

WebsiteLinkedInAll Job Openings

1 - 10 employees

📱 Media

👥 B2C

Media • B2C

Melotech is revolutionizing media and entertainment. We create art through technology for humans to enjoy. In just 24 months, our work has been heard, watched and loved for over 4 billion minutes worldwide. Founded by entrepreneur and investor Soheil Mirpour, we are backed by top VCs Cherry Ventures, Speedinvest and GFC, alongside world-class angels from firms such as Spotify, Blackstone and KKR.

📋 Description

• Own and operate the company’s data platform, keeping it reliable, clean and increasingly simple • Keep external data integrations running across flaky sources, rate limits and APIs that change overnight • Own event-driven pipelines end to end, from orchestration through databases and warehouses • Build monitoring and alerting for services and integrations • Implement freshness, volume, schema and value checks for data reliability • Work on production backend services and APIs, including JavaScript backends • Own CI/CD, infrastructure as code and cloud infrastructure for data systems • Manage access controls and secrets, including access for AI tools • Consolidate and document the data system and remove obsolete components • Explain data capabilities and limitations to non-technical colleagues • Guide junior engineers as the team grows

🎯 Requirements

• 3 to 10 years of hands-on engineering experience • Experience operating real production systems in small or fast-growing companies • Advanced Python, including async code and long-running data jobs • Backend experience with production services and APIs, including basic JavaScript or TypeScript backends • Experience keeping unreliable external sources running in production, including rate limits, retries and sources that change without notice • Experience designing and running event-driven, fault-tolerant pipelines handling millions of records per day • Experience with Airflow, Dagster or task queues • Experience with databases such as Postgres, ClickHouse, MongoDB or Redshift • Knowledge of database and infrastructure operating costs • Experience implementing freshness, volume, schema and value checks • Experience with Datadog or an equivalent monitoring tool • Comfort with Docker, Terraform, CI/CD and cloud • Ideally, experience with access reviews, role-based access and secrets management • End-to-end ownership of a messy data setup at a smaller company • Ability to document and maintain systems • Ability to explain trade-offs to non-technical colleagues • Experience guiding junior engineers or leading a small team • Strong engineering fundamentals and sound technical judgment • Ability to use AI coding tools to accelerate development without replacing engineering judgment • Ability to thrive in a fast-paced and performance-oriented environment

🏖️ Benefits

• Equity in the business • Remote work with complete freedom over your life • Global offsites and regular meetings around the world • Competitive salary (amount not specified)

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