Data Engineer

Data Engineer (Snowflake) Miejsce pracy: Warszawa Technologies we use Expected SQL GitHub Jenkins Jira SonarQube Snowflake Data Cloud Optional Python C# Microsoft Azure AWS Operating system Windows About the project Location: Fully remote (based in Poland) Type: B2B contract Salary: Up to 27 000 PLN (B2B) paid holidays 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. 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. Your responsibilities 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. 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. Partner with software engineering leaders to interpret insights and recommend actions. Communicate findings clearly to both technical and non-technical audiences. Our requirements 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. Optional 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. This is how we organize our work This is how we work at the client's site you focus on a single project at a time you develop several projects simultaneously you have influence on the product you focus on product development you focus on code maintenance This is how we work on a project Continuous Deployment Continuous Integration documentation issue tracking tools testing environments What we offer Long-term project with a global enterprise environment Remote work flexibility Collaboration with experienced security professionals Competitive B2B rate up to 18,000 PLN/month Partnership with Optiveum – a boutique consultancy with 20 years of experience supporting IT and cybersecurity professionals Benefits sharing the costs of sports activities private medical care remote work opportunities integration events OPTIVEUM SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ Optiveum is a recruitment and consulting company created based on our 20-plus years of experience in HR & IT services. We work for Clients located in Poland and abroad providing our local and international Candidates with Project-based or Permanent job opportunities in a remote or office-based model.