Dataspecialist

Senior Data Acquisition Engineer — Financial Markets

EQL Global AB · Full-time · Remote (EU timezone) or hybrid Stockholm / Göteborg

About us

EQL Global is the compliance-first AI workflow platform for institutional equity research in European capital markets. Our coverage spans 33,000+ publicly listed companies across 89 countries, surfaced to equity analysts and portfolio managers at Nordic and European financial institutions through AI agents and structured APIs.

The data acquisition layer underneath that coverage is the spine of the product. We're hiring the engineer who will own it.

The role

You will lead the design and operation of EQL's market data acquisition stack — the systems that continuously source, parse, and normalize financial information at scale. You'll work directly with the CPO and technical staff. The work is high-leverage and visible.

This is not a generic data engineering role. We need someone who has built acquisition systems in production, has informed opinions about Playwright vs. Scrapy vs. Crawlee, and knows what it takes to keep multi-jurisdiction pipelines running when upstream formats change overnight.

What you will build

• High-throughput acquisition pipelines spanning thousands of issuers and tens of jurisdictions
• Parsing infrastructure for filings and reports — PDF (text and scanned / OCR), iXBRL / ESEF, HTML, multilingual content
• Schema-resilient extractors that detect and recover from upstream changes without silent data loss
• Scheduling, queueing, and retry systems that keep latency-sensitive feeds flowing in near real time
• Quality gates — validation, reconciliation, deduplication, anomaly detection — that protect downstream products
• APIs and stream interfaces that expose this data cleanly to internal AI agents and external clients

The hard problems you will own

• Modern anti-bot defenses and the cost / throughput economics of working through them lawfully
• JavaScript-heavy pages and dynamic content
• Multilingual document parsing across many jurisdictions, each with its own conventions
• OCR pipelines for scanned filings still common in several markets
• Schema drift and silent-breakage detection across thousands of distinct formats
• Cost / throughput tradeoffs across headless browser fleets, HTTP clients, and direct integrations
• Sound judgment about when to acquire openly, when to license, and when to integrate via official feeds

You will fit if you have

• 4+ years building production data acquisition systems, ideally in financial, legal, or other structured-document domains
• Deep Python — async/await, aiohttp / httpx, asyncio patterns at scale
• Hands-on experience with Playwright, Puppeteer, Scrapy, Crawlee, or equivalent
• Strong document parsing skills — PDF (pdfplumber, PyMuPDF), HTML (lxml, parsel), iXBRL, OCR
• Comfort with queueing / orchestration (Celery, Temporal, Airflow, or similar) and Postgres at scale
• A track record of keeping pipelines alive — monitoring, alerting, drift detection, recovery
• Sound judgment about acquisition strategy and source legitimacy

Nice to have

• Experience with financial filings and disclosure regimes (annual reports, prospectuses, transparency disclosures)
• Background in equity research, capital markets, or fintech
• Familiarity with iXBRL / ESEF reporting standards
• Swedish or another Nordic language

How we work

EQL is a compliance-first platform. Our acquisition practices are built around lawful data use — we work within source terms, document our basis for collection, and maintain audit trails. If you've felt uncomfortable with how some shops cut corners, you will find this a clean place to do the work.

Send a CV and a short note — ideally pointing to an acquisition system, parser, or pipeline you are proud of (links to open-source work, write-ups, or a description if it was proprietary) — to [email protected].

Applications reviewed on a rolling basis. Target close: 1 June 2026.