Data Engineer

Location: Fully remote (based in Poland)
Type: B2B contract
Salary: Up to 27 000 PLN (B2B) + paid holidays

Our Client

Our client is a leader in the SaaS industry, specializing in innovative software solutions for insurance companies. With over 20 years of experience, they deliver a comprehensive suite that supports key insurance operations, including policies, claims, reinsurance, and payments.

Currently undergoing a major technological transformation, the company is establishing a Competence Center in Warsaw and transitioning towards a Cloud Native, multi-tenant platform to modernize its infrastructure. This strategic investment in cloud services aims to create a scalable, efficient, and future-ready system.

Job Summary

As a Data Engineer, you’ll play a key role in collecting, integrating, and analyzing data across multiple software engineering tools. You’ll build actionable reports, detect anomalies, and partner closely with engineering leaders to drive data-informed improvements in engineering processes.

Key Responsibilities

Data Collection & Integration

• Aggregate data from diverse engineering tools (CI/CD pipelines, code repositories, issue trackers, observability platforms).
• Integrate and manage data within Snowflake for scalable analytics and reporting.
• Design and maintain Azure Data Factory pipelines for data ingestion and transformation.
• Ensure data accuracy and consistency across all sources.

Reporting & Visualization

• Build dashboards and reports in Power BI or Tableau to monitor engineering health metrics (velocity, quality, reliability).
• Generate periodic and ad-hoc reports for leadership review.
• Anomaly Detection & Analysis
• Identify trends, anomalies, and outliers in engineering performance data.
• Conduct root cause analyses and collaborate with engineering teams to resolve issues.

Stakeholder Engagement

• Partner with software engineering leaders to interpret insights and recommend actions.
• Communicate findings clearly to both technical and non-technical audiences.

Required Skills & Experience

• Snowflake expertise for data warehousing, query optimization, and analytics.
• Hands-on experience with Azure Data Factory for ETL and orchestration.
• Strong proficiency in SQL for data manipulation and analysis.
• Familiarity with software engineering lifecycle tools (GitHub, Jenkins, Jira, SonarQube).
• Understanding of CI/CD processes and modern DevOps practices.
• Solid understanding of the software development lifecycle (SDLC).
• Excellent communication and collaboration skills.

Preferred Qualifications

• Proficiency in Python or C# for automation and data workflows.
• Experience with anomaly detection techniques and statistical analysis.
• Knowledge of cloud platforms (Azure, AWS) and infrastructure monitoring.
• Understanding of the business of engineering.
• Ability to work independently and manage multiple priorities.