Senior Data Engineer

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!