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Capco, a Wipro company, is a management & technology consultancy dedicated to the financial services & energy industries
Data & AI Warsaw Tech Summit 2026: Data Platform Engineer – Build the Backbone of AI
Location
Poland
Posted
90 days ago
Salary
0
Seniority
Mid Level
Job Description
Data & AI Warsaw Tech Summit 2026: Data Platform Engineer – Build the Backbone of AI
Capco
Data Platform Engineer – Build the Backbone of AICapco at Data & AI Warsaw Tech Summit 2026About Capco 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 Meet Capco at the Data & AI Warsaw Tech Summit 🚀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 Capco Speakers at Data & AI Warsaw Tech Summit 🚀Andrzej Worona & Laura Żusin-KaczmarekTopic: From Data to Meaning: Educating AI in Banking with Ontologies: Lessons from FIBO and Conversational Banking Time: 11:50-12:10 CET Intro: Many AI solutions still fall short when it comes to understanding and reasoning about complex financial concepts. The real challenge is about how financial knowledge is represented and shared with machines. Why does AI still misunderstand basic banking terms despite having access to vast amounts of data? How can AI truly understand financial concepts? Using the Financial Industry Business Ontology (FIBO) as an example of structured domain knowledge, we will discuss how formal, machine-readable definitions can provide the contextual foundation AI needs. By analysing selected conversational banking scenarios and example solutions, we will invite participants to reflect together on what the right semantic layer for AI in banking should look like. Join us to discover why the next leap in AI for banking isn’t just about more data or better models, but about building a structured understanding of financial meaning. Looking for Data Engineers Role OverviewWe 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. Key Responsibilities - Design, develop, and maintain ETL/ELT data pipelines - Integrate data from multiple sources (APIs, databases, external systems) - Build and optimize data warehouses and data lakes - Ensure data quality, consistency, and availability - Monitor and improve performance of data processing systems - Collaborate with data scientists and analysts to deliver datasets - Create and maintain technical documentation - Implement and manage cloud-based data solutions (AWS, Azure, GCP) Requirements - 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 Nice to Have - 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 Online Recruitment Process - 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.
Benefits
- 401(K), 401(K) matching, Adoption Assistance, Childcare benefits, Commuter benefits, Dedicated diversity and inclusion staff, Dental insurance, Disability insurance, Volunteer in local community, Fitness stipend, Flexible Spending Account (FSA), Generous parental leave, Generous PTO, Health insurance, Job training & conferences, Life insurance, Charitable contribution matching, Mentorship program, Open office floor plan, Paid holidays, Paid sick days, Partners with nonprofits, Performance bonus, Pet insurance, Promote from within, Lunch and learns, OKR operational model, Tuition reimbursement, Vision insurance, Wellness programs, Mental health benefits, Diversity employee resource groups, Hiring practices that promote diversity, Fertility benefits, Hybrid work model, Pay transparency, Bereavement leave benefits
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