Data & AI Warsaw Tech Summit 2026: Data Platform Engineer – Build the Backbone of AI

Capco drives digital transformation across the financial industry.

A global consulting firm focused on financial services, Capco partners with leading banks, fintechs, and financial institutions to design and deliver next-generation data platforms, AI solutions, and digital ecosystems.

From data strategy and modern platforms to AI-powered decision systems and GenAI innovation, teams unlock measurable value from data.

What defines Capco?

A fast, flexible, and entrepreneurial environment. Quick decision-making, creative thinking, and real ownership enable people to push the boundaries of what technology can achieve.

Capco stands for:

• Trusted partnerships with banks, payments providers, and financial institutions
• Delivery of modern data platforms and AI-powered systems
• Innovation across cloud, data engineering, machine learning, and GenAI
• A community of engineers, architects, and consultants solving complex challenges

At this year’s Data & AI Warsaw Tech Summit, Capco will share how financial institutions can move from experimentation to production-grade AI and scalable data ecosystems.

Our experts will explore how organizations can:

• Build AI-native architectures on modern cloud platforms
• Scale machine learning and generative AI solutions across enterprise environments
• Transform fragmented data into high-value data products
• Embed AI into real business workflows and decision-making systems

We are looking for a Data Engineer to join our Data & Analytics team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and architectures. You will work closely with data analysts, data scientists, and business stakeholders to ensure reliable and high-quality data is available for decision-making.

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  Design, develop, and maintain ETL/ELT data pipelines

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  Integrate data from multiple sources (APIs, databases, external systems)

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  Build and optimize data warehouses and data lakes

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  Ensure data quality, consistency, and availability

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  Monitor and improve performance of data processing systems

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  Collaborate with data scientists and analysts to deliver datasets

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  Create and maintain technical documentation

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  Implement and manage cloud-based data solutions (AWS, Azure, GCP)

• Proven experience as a Data Engineer or similar role (3+ years)

• Strong SQL skills

• Proficiency in Python or Scala

• Experience with ETL tools (e.g., Airflow, dbt, Informatica, Talend)

• Experience with relational and NoSQL databases

• Familiarity with cloud platforms (AWS, Azure, or GCP)

• Understanding of data warehousing concepts and data modeling

• Experience working with large-scale data (e.g., Spark, Hadoop)

• Strong problem-solving and communication skills

• Experience with BI tools (e.g., Power BI, Tableau)

• Knowledge of DataOps and CI/CD practices

• Experience working in Agile environments

• Familiarity with Docker and Kubernetes

• Screening call with the Recruiter
• Hiring Manager Technical Interview
• Feedback
• Offer

We offer a flexible collaboration model based on a B2B contract with the opportunity to work on diverse projects.