Develop and maintain data pipelines using Python and SQL, build integrations, manage data storage solutions, and ensure data quality.
CAPCO POLAND
*We are looking for a Poland based candidate.
At Capco Poland, we’re not just another consultancy - we’re the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we thrive on helping clients tackle the toughest challenges across banking, payments, capital markets, wealth, and asset management.
Our secret?
A culture that’s fast, flexible, and fiercely entrepreneurial. We move quickly, think creatively, and always put our people first.
We’re passionate about growth - both for our clients and ourselves - and that means attracting the very best talent to join us on this exciting journey.
We’re proud to be:
• Trailblazers in banking, payments, capital markets, wealth, and asset management
• Champions of an agile, nimble, and innovative work environment
• Dedicated to building a team of top-notch professionals who share our drive and vision
• Trailblazers in banking, payments, capital markets, wealth, and asset management
• Champions of an agile, nimble, and innovative work environment
• Dedicated to building a team of top-notch professionals who share our drive and vision
WHAT YOU WILL DO
- Working with one of the biggest investment banks and many other global, financial services projects with long-term possibility
- Developing and maintaining data pipelines using Python and SQL
- Building new integrations including external providers APIs as well as internal systems.
- Developing and managing data storage solutions including data warehouses and relational databases.
- Performing initial data analysis and data quality checks. Ensuring data quality and integrity.
- Monitoring data infrastructure for performance, security, and reliability.
- Collaborating with data scientists and various IT teams ensuring business aligned, compliant and secure integration with existing systems.
- Streamlines and automates data science products lifecycle from development to deployment and monitoring.
- Designs, develops and maintains tools enabling reproducible experimentation, models versioning, automated deployment, serving etc.
- Tests, refactors, optimizes, and packages the code developed by data scientists. Improves, deploys, monitors and maintains developed models
SKILLS AND EXPERIENCES TO GET THE JOB DONE
- solid experience in Python development
- experience to work in financial services or big companies is highly appreciated
- experience using Linux
- experience with CI/CD - Jenkins or Github or Gitlab
- experience with Docker
- ability to work with ML Ops, Data Scientists
- open to learn
- Bachelor/Degree in Computer Science or related topic
ONLINE RECRUITMENT PROCESS STEPS
- Screening call with the Recruiter
- Hiring Manager Technical Interview
- Client Interview
- Feedback/Offer
We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on diverse projects.
Top Skills
Azure Devops Services
Docker
Git
Linux
Postgres
Python
SQL
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