Analytics Engineer – Regulatory Reporting

This is a fully remote position, open to applicants in Spain, +2 more countries.

📋 Description

• Take ownership of the entire engineering process for regulatory reporting, encompassing pipelines, data models, formats, quality checks, and releases.

• Collaborate with engineering, data platform, and product teams that provide data and systems for reports.

• Execute recurring monthly and quarterly regulatory reports and data extractions with accuracy and punctuality.

• Revise existing reports and create new ones as requirements evolve.

• Develop pipelines, managed datasets, and semantic models on the lakehouse.

• Produce external formats, such as XML, and assist with submissions.

• Establish business checks, data quality standards, and alert systems.

• Partner with the Business Analyst and Report Owners to create reusable requirement templates, data standards, and data contracts.

• Elevate datasets to a self-service level for the reporting team.

• Manage reports from start to finish and engage directly with stakeholders.

• Curate releases while ensuring comprehensive data governance.

⛳️ Requirements

• 3+ years of hands-on technical experience in data, engineering, analytics engineering, or technical analytics.

• Proficient, expert-level SQL skills.

• Working knowledge of Python, including the ability to generate files in formats like XML.

• Experience with data pipelines and a data warehouse or lakehouse.

• Capability to translate technical requirements into functional reports and modify existing ones accordingly.

• Comfortable serving as the technical point of contact among teams and facilitating dependent tasks.

• Detail-oriented, especially when balancing speed and accuracy.

• Interest in taking ownership of the data related to a process.

• Engineers transitioning into analytics or analysts possessing strong engineering skills.

• Regulatory or external reporting experience is a plus.

• Familiarity with XML schemas, report exports, or integrations with external recipients is advantageous.

• Experience with dbt, Databricks, or Spark is a plus.

• Background in fintech, banking, insurance, investments, trading, or government projects is a plus.

🏝️ Benefits

• Opportunity to experiment with AI tools, vendors, and open-source solutions.

• AI assistants handle routine tasks, allowing team members to focus on more complex challenges.

• Access to a modern data stack, including Databricks and n8n.