Senior Data Engineer (Databricks)

TL;DR

Senior Data Engineer (Databricks): Designing and delivering scalable data products for regulatory and operational initiatives with an accent on data pipeline development, data quality, and architectural definition. Focus on leading data modeling, ensuring data lineage, and integrating data across diverse ecosystems like MRL, MMD, ERA, and Appian.

Location: Full Remote (Global)

Salary: 85,000–90,000 CZK per year

Company

hirify.global is an IT consultancy firm that helps startups, mid-sized and large corporations to create and deliver innovative technologies across various industries.

What you will do

• Design, build, and maintain process and analytical data products across MRL, MMD, ERA, and Appian ecosystems.
• Develop and integrate data pipelines, ensuring high data quality, lineage, and reliability.
• Support regulatory data enablement, including structured data for submission content.
• Collaborate on data virtualization and ingestion into the MRL data lake.
• Lead data modeling activities and define data architectures using Delta Lake and Databricks Delta.
• Translate business and regulatory requirements into clear technical specifications.

Requirements

• Hands-on experience with Databricks Delta, Delta Lake architecture, Matillion, dbt, and Power BI.
• Proficiency in PySpark, Python, SQL, and PL/SQL.
• Experience designing data models and working with data architecture frameworks (e.g., PowerDesigner).
• Solid understanding of data integration, data quality, and lineage concepts.
• Experience supporting cloud-based and modern data platform architectures.
• English: B2 required

Culture & Benefits

• Remote-first work environment, offering full remote flexibility.
• Opportunity to work with diverse clients from various industries (Telecom, Energy, Bank, Insurance, Pharma, Automotive, Industry, e-commerce).
• Collaborate in cross-functional teams to deliver innovative software solutions.