Data Engineer – AI-Driven Data Platform

Job not on LinkedIn

🔥 27 minutes ago

🇩🇪 Germany – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 15%

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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Mercury Media Technology GmbH & Co. KG

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2016

☁️ SaaS

📣 Marketing

🤝 B2B

SaaS • Marketing • B2B

Mercury Media Technology GmbH & Co. KG is a cloud-based media operations software provider. Mercury offers an API-first, modular “system of record” for media operations that centralizes media planning, buying, inventory management, reporting, and measurement for agencies, advertisers, and publishers. Its platform includes modules for marketing mix modeling, attribution, media inventory and yield management, campaign planning and trafficking, creative distribution, data connectors, and accounting integrations — positioning itself as a future-proof, scalable SaaS solution to unify media workflows, data, and measurement.

📋 Description

• Co-own the Data area of the media-planning platform with engineers and client relations • Own the end-to-end data flow from advertising-platform APIs to analytics powering media plans, dashboards, and billing-grade reports • Maintain connectors to Meta, TikTok, Google Ads/DV360, Amazon DSP, The Trade Desk, Adform, Pinterest, and LinkedIn • Keep client data flowing through provider endpoint, field, and limit changes • Model and normalize data using dbt and SQL • Implement data-quality practices including deduplication, freshness checks, and reconciliation with platform-reported data • Keep nightly client pipelines reliable and investigate incidents to root cause • Distinguish provider outages, client setup issues, and product defects, and document findings • Extend the multi-tenant semantic layer with new metrics and row-level security • Help build the lakehouse platform • Collaborate with users, client relations, and other teams • Help shape engineering processes for AI coding agents

🎯 Requirements

• Solid experience building and running production data pipelines from third-party APIs to curated, reportable data • Very good knowledge of Python, especially third-party HTTP API integrations, including pagination, rate limits, authentication, token refresh, and error semantics • Very good knowledge of SQL • Solid experience with dbt, including incremental models and tests • Good knowledge of a relational database such as PostgreSQL • Hands-on experience with AI coding agents such as Claude Code, Codex, or Cursor • Clear written communication • Strong focus on data quality, testing, and architecture • Comfortable working directly with users and documenting findings • Fluent in English and/or German; English is the company language • Work permission and residence in Germany, or willingness to relocate to Germany • Knowledge of Snowflake, Trino, Iceberg, ClickHouse, Airbyte, Cube.js, Kubernetes/Terraform, Elixir, Ruby, or media/advertising is a plus

🏖️ Benefits

• Remote work up to 100% • Flexible working hours • Laptop running Linux or Mac • Company-paid access to leading AI coding agents • Subsidized Deutschlandticket for public transportation • Subsidized Hansefit gym membership • Job bike leasing • Company pension scheme • Regular appraisal, feedback and development talks • Opportunities to attend conferences, trade shows, tech events, and training • Time to try new AI tools and ways of working • Small and international teams • Modern workplace in central Hamburg • Space and time for personal growth and learning • Flexibility for families and personal obligations

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