Location
In office
Seniority
Middle · 4+ years exp
Overview
Company
Impact
Profile match
Pretius is a software development company that specializes in building custom enterprise applications, low-code systems, and complex IT integrations. The firm focuses heavily on Oracle APEX, custom Java development, and system architecture to help organizations digitize and streamline critical business processes. By delivering tailored software solutions, it enables medium to large enterprises across various industries to optimize performance and modernize legacy IT infrastructure.
At Pretius, we are looking for a Data Engineer to a project in the financial industry, Forward Deployed Engineering team. In this role, you will work directly with clients to transform fragmented, complex data into reliable, analysis-ready datasets that power modern tax compliance and data-driven decision-making.
Project / Role
- Design, build, and maintain scalable data ingestion, integration, and transformation pipelines using modern cloud technologies.
- Integrate data from enterprise platforms including ERP, HR, finance systems, SharePoint, APIs, fund administration systems, and flat files.
- Develop robust ETL/ELT workflows, data models, and automated validation processes to ensure data accuracy, traceability, and quality.
- Deliver reliable, analysis-ready datasets, dashboards, and self-service reporting solutions.
- Collaborate closely with client stakeholders to understand source systems, resolve data issues, and translate technical concepts into business language.
- Define data architecture, optimize solution performance, and implement security, governance, and compliance best practices.
- Support deployment, operational maintenance, and continuous improvement of data products while promoting reusable engineering patterns.
- Mentor junior engineers through knowledge sharing and code reviews.
Requirements
- 4+ years of experience in Data Engineering or a similar role.
- Strong hands-on experience with Databricks, Snowflake, SQL, Python, PySpark, and modern ETL/ELT frameworks.
- Experience integrating data from enterprise systems (ERP, finance platforms, APIs, SharePoint, flat files) and building scalable cloud-based data solutions.
- Solid understanding of data modeling, performance optimization, data quality, reconciliation, governance, security, and Azure Data Platform.
- Familiarity with CI/CD, DevOps practices, and automated deployment processes.
- Excellent analytical, communication, and stakeholder management skills, with the ability to explain technical concepts to non-technical audiences.
- Experience mentoring other engineers and knowledge of responsible AI practices are considered strong advantages.
- Proficiency in English.
What do we offer?
- We focus on long-term relationships based on fair principles and reliability.
- Co-financing of the Multisport card and Medicover private healthcare.
- Modern office available.
- Team bonding activities, internal courses, conferences, certifications.
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