Senior Big Data Engineer
Description For Senior Big Data Engineer
Capco Poland, a leading global technology and management consultancy, is seeking a Senior Big Data Engineer to join their dynamic team. The company specializes in driving digital transformation across the financial services industry, with a strong focus on innovation and client success.
The role offers a unique opportunity to work on large-scale data processing and analytics projects, both on-premises and in cloud environments. As a Senior Big Data Engineer, you'll be responsible for designing and implementing scalable data pipelines while working directly with clients to deliver industry-leading solutions.
The position requires expertise in Python, Spark, SQL, and Hadoop, with additional experience in cloud technologies, particularly GCP. You'll lead and mentor junior team members while contributing to the technical direction of projects. The role combines technical excellence with client interaction, making it ideal for engineers who enjoy both technical challenges and collaborative work.
Capco offers an inclusive work environment where individuality is celebrated (#BeYourselfAtWork), along with comprehensive benefits including flexible work arrangements, medical care, and continuous learning opportunities through their Udemy platform. The company maintains a flat, non-hierarchical structure that enables direct interaction with senior partners and clients.
This role is perfect for a senior engineer looking to make an impact in financial services technology while working with cutting-edge data technologies. The remote work option and strong focus on professional development make this an attractive opportunity for those seeking to advance their career in a supportive, innovation-focused environment.
Responsibilities For Senior Big Data Engineer
- Work alongside clients to interpret requirements and define industry-leading solutions
- Design and develop robust, well tested data pipelines
- Demonstrate and help clients adhere to best practices in engineering and SDLC
- Build and improve strong relationships with peers, senior stakeholders and client
- Leading and mentoring the team of junior and mid-level engineers
- Contribute to security designs
- Support internal Capco capabilities by sharing insight, experience and credentials
Requirements For Senior Big Data Engineer
- Strong cloud provider's experience on GCP
- Hands on experience using Python
- Experience in data technologies like Hadoop, HIVE, Spark, Flume, PySpark, DataProc, Cloudera, Airflow
- Hands on experience with schema design using semi-structured and structured data structures
- Strong experience in SQL
- Understanding of containerisation (Docker, Kubernetes)
- Experience with data lake formation and data warehousing principles
- Experience using version control tool such as Git
- Experience in design, build and maintain CI/CD Pipelines
Benefits For Senior Big Data Engineer
- Employment contract and/or Business to Business options
- Remote work possibility
- MyBenefit Cafeteria
- Private medical care
- Life insurance
- Access to 3,000+ Business Courses Platform (Udemy)
- Access to required IT equipment
- Paid Referral Program
- Ongoing learning opportunities
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