Mid Big Data Engineer

Summary

Join Capco Poland as a Senior Big Data Engineer in Kraków, enjoying a hybrid work model. You'll work on challenging projects with major global banks, designing, implementing, and maintaining scalable data pipelines using GCP services. Collaborate with cross-functional teams, write efficient Python code, and troubleshoot data issues. Leverage your expertise in SQL, NoSQL databases, and APIs to build robust data solutions. This role offers opportunities for professional development and a collaborative, innovative work environment.

Requirements

• Hands-on experience with Google Cloud Platform (GCP), including BigQuery, GCS, and DataProc
• Strong proficiency in Python programming for data engineering tasks
• Proven experience working with SQL and NoSQL databases
• Solid understanding of building and maintaining data pipelines using APIs
• Knowledge of data pipeline orchestration and optimization techniques
• Experience working with large-scale data sets and cloud-based data storage systems
• Strong problem-solving abilities and a keen attention to detail

Responsibilities

• Design, implement, and manage scalable data pipelines using Google Cloud Platform (GCP) services, such as BigQuery, Google Cloud Storage (GCS), and DataProc
• Build and optimize data workflows using SQL, NoSQL databases and APIs
• Collaborate with cross-functional teams to gather requirements and ensure that data infrastructure supports the broader business objectives
• Write efficient, maintainable code in Python for data processing and integration tasks
• Troubleshoot and resolve issues related to data pipelines, databases, and cloud services
• Ensure data quality, reliability, and security throughout the data pipeline lifecycle
• Actively contribute to the design of new systems and maintain or upgrade existing data infrastructure
• Contribute to security designs and have advanced knowledge of key security technologies e.g. TLS, OAuth, Encryption
• Support internal Capco capabilities by sharing insight, experience

Preferred Qualifications

• Knowledge of PySpark for large-scale data processing
• Familiarity with data engineering best practices and emerging technologies

Benefits

• Employment contract and/or Business to Business - whichever you prefer
• Possibility to work remotely
• Multiple employee benefits packages (MyBenefit Cafeteria, private medical care, life-insurance)
• Access to 3.000+ Business Courses Platform (Udemy)
• Access to required IT equipment
• Paid Referral Program
• Participation in charity events e.g. Szlachetna Paczka
• Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
• Being part of the core squad focused on the growth of the Polish business unit
• A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
• A work culture focused on innovation and creating lasting value for our clients and employees