Data Acquisition Engineer

EQL Global · Stockholm (Remote-friendly) · Full time · Engineering
About EQL GlobalEQL Global is a compliance-first equity data and AI workflow platform serving institutional buy-side and sell-side clients across the Nordics, the UK, and Europe. Our coverage spans 33,000+ listed companies across 89 countries, and our data infrastructure powers analyst workflows at firms that demand accuracy, freshness, and full auditability.
We are building the regulated data layer for institutional capital markets — and the foundation of that layer is the ability to acquire, parse, and structure vast volumes of public corporate disclosure at speed and at scale.

The RoleWe're looking for a Data Acquisition Engineer to design and operate the systems that ingest public financial disclosures — regulatory filings, annual reports, prospectuses, exchange notices, and structured datasets — from thousands of sources worldwide.
This is a high-throughput, distributed-systems challenge. On any given run,



our pipelines need to retrieve and process tens of thousands of documents in parallel without dropping data, tripping rate limits, or compromising integrity. If you've built resilient, large-scale data collection systems and you care about doing it cleanly and compliantly, we want to talk to you.

What You'll Do
- Architect and maintain distributed data acquisition pipelines capable of retrieving and processing 10,000+ filings concurrently from public regulatory and exchange sources.
- Build fault-tolerant extraction systems with robust retry logic, rate-limit handling, request orchestration, and proxy/session management.
- Develop parsers that turn unstructured and semi-structured documents (HTML, PDF, XBRL, XML) into clean, validated, structured data.
- Engineer monitoring, alerting, and data-quality checks so we catch gaps, schema drift, and source changes before our clients do.
- Optimize throughput and cost across cloud infrastructure while keeping collection r

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