We are looking for a Senior Data Engineer:

Language Proficiency: Upper-Intermediate
Employment type: Full time
Candidate Location: Poland
Working Time Zone: CET
Start: ASAP
Planned Work Duration: 12+ months

👥 Customer Description:

Our client is a leading global management consulting company delivering technology solutions for enterprise customers across multiple industries.

🧩 Project Description:

The project focuses on designing, developing, and maintaining cloud-native data engineering solutions supporting compliance and risk management initiatives.

⚙️ Project Phase:

ongoing

🤝 Soft Skills:

• Highly proactive with the ability to identify stakeholders and drive tasks independently.

• Strong stakeholder management skills with the ability to collaborate across technical and business teams.

• Curious mindset with a focus on continuous improvement and innovation.

• Excellent communication skills for collaborating with cross-functional teams.

• Strong organizational and time management skills.

💡 Hard Skills / Must Have:

• 5+ years of experience building and supporting ETL solutions using cloud-native services.

• Experience developing data integration pipelines.

• Hands-on experience with Python and PySpark.

• Advanced PL/SQL and complex query optimization.

• Experience with CloudFormation and Terraform.

• Experience implementing monitoring and alerting for ETL processes.

• Experience working with cloud storage and data validation solutions.

• Experience with CI/CD pipelines.

• Experience working in Agile environments.

• Experience with Infrastructure as Code tools.

• Experience with BI systems (PowerBI, Tableau).

• Understanding of AWS services like S3, SNS, Secret Manager, Athena, and Lambda.

• Experience with version control and project management tools.

📌 Responsibilities:

• Design, build, and maintain scalable and efficient cloud-based data pipelines.

• Develop and support ETL/ELT processes for data integration and transformation.

• Ensure compliance with information security and data governance standards.

• Maintain and enhance cloud data environments, including data lakes and data warehouses.

• Collaborate closely with engineering teams, product teams, and stakeholders.

• Contribute to technical research, continuous improvement, and adoption of new technologies.

• Maintain code quality using version control systems and CI/CD practices.

• Support the strategic evolution of data engineering solutions and infrastructure.

🧪 Technology Stack:Python, PySpark, AWS Glue, PL/SQL, CloudFormation, Terraform, CI/CD, Power BI, Tableau, Athena, Lambda, Jira, GitHub, Snowflake

📞 Interview stages:

• English check (15 minutes)

• internal technical interview (1-1,5 hour)

• client interview (1 hour)

📝 Additional notes:

The candidate must be employed in our company at 0.125 FTE under UoP (employment contract) and additionally under a service contract (B2B or mandate contract). Payment terms - up to 60 days. Work will be performed using client-provided equipment.



📩 Ready to Join?
We look forward to receiving your application and welcoming you to our team!