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Текст:
Hirify AI/Оригинал
TL;DR
Analytics Engineer (Regulatory Reporting) (SQL/Python/Databricks): Building and operating reliable regulatory reporting pipelines, governed datasets, semantic models, and external XML submissions with an accent on data quality, reporting accuracy, and end-to-end ownership. Focus on designing lakehouse data models, automating recurring reports, and implementing validation, alerting, and self-service capabilities.
Location: Remote in Spain, Poland, or Cyprus
Company
hirify.global is a fintech company building financial products and a central data function that supports regulatory reporting across the business.
What you will do
Own the engineering scope of regulatory reporting, including pipelines, data models, formats, quality checks, releases, and coordination with engineering, data platform, and product teams.
Run recurring monthly and quarterly regulatory reports and data extractions accurately and on time.
Update existing reports and build new reports as requirements change.
Generate external formats, including XML, and support submissions.
Implement business checks, data quality standards, alerting, reusable requirements, data contracts, and self-service datasets.
Requirements
3+ years of hands-on technical experience in data, data engineering, analytics engineering, or technical analytics.
Expert-level SQL and working Python, including generating files in formats such as XML.
Experience with data pipelines and a data warehouse or lakehouse.
Ability to turn technical requirements into working reports and adjust existing reports.
Ability to act as a technical point of contact across teams and drive work involving multiple stakeholders.
Precision is prioritized over speed when the two conflict.
Ability and interest to own the data behind a process rather than only close tickets.
Suitable backgrounds include engineering experience moving into analytics or analytics experience supported by solid engineering skills.
Working English is required.
Nice to have
Regulatory or external reporting experience.
Experience with XML schemas, report exports, or integrations with external recipients.
Experience with dbt, Databricks, or Spark.
Background in fintech, banking, insurance, investments, trading, or government projects.
Culture & Benefits
Remote work is available from Spain, Poland, or Cyprus.
The role is embedded in a small central data team working with every function at hirify.global.
Work uses a modern stack including Databricks and n8n, with freedom to trial AI tools, vendors, and open-source solutions.
AI assistants handle routine work so the team can focus on more complex problems.
Regulatory reporting is treated as a reliable internal product and developed toward full data governance and self-service.
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