Data Engineer

About the Role

<\/h2>Are you an analytical thinker who enjoys transforming complex data into meaningful insights? Do you want to empower Compliance stakeholders to unlock the full value of enterprise data?

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At UBS, we are re -imagining the way we work, collaborate, and deliver value. As part of our digital transformation journey, we are looking for a Data Engineer<\/b> who will partner closely with business and technology stakeholders to deliver high -quality, scalable, and trusted data products supporting Financial Crime Prevention initiatives.

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Key Responsibilities

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• Develop a deep understanding of enterprise data and assess its suitability for various internal stakeholders

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• Act as a single point of contact for data consumers, communicating changes and managing enhancement requests

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• Engage with business and IT stakeholders to capture and refine complex data requirements

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• Perform in -depth data analysis to evaluate feasibility, challenge assumptions, and align requirements with available data

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• Translate business needs into clear technical documentation and collaborate with engineering teams to drive delivery within an Agile framework

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• Represent stakeholder needs throughout the data lifecycle, working closely with data acquisition, data modeling, and cross -functional platform teams

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• Support testing activities to ensure delivered data solutions meet business expectations

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• Produce detailed analytical reports to address business queries and support decision -making

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• Leverage statistical methods, programming languages, and visualization tools to perform advanced data analysis and feasibility assessments

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  About the Team

  <\/h2>You will join the Financial Crime Prevention (FCP) Data Products Team<\/b> within GCRG Technology, based in Krakow, Poland.

  <\/p>The team’s mission is to build a standardized, comprehensive, and user -friendly suite of data products that support Financial Crime Prevention applications and processes.

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  You will collaborate closely with business stakeholders, IT teams, and cross -functional platform teams while contributing to a significant digital transformation initiative within the organization.

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  Required Qualifications & Experience

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  • Bachelor’s or Master’s degree in Information Technology, Computer Science, Mathematics, or related field with a focus on data analysis

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  • 5+ years of experience as a Data Engineer, preferably in Big Data environments

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  • Strong hands -on experience performing complex data analysis and advanced SQL queries

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  • Proficiency in Python, Scala, Spark, and SQL

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  • Experience with Big Data and cloud technologies such as Azure, Databricks, Power BI, or equivalent

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  • Good understanding of Agile methodologies and incremental delivery models

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  • Strong communication skills with the ability to build trusted partnerships across business and technology teams

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  • Excellent analytical, data management, and problem -solving abilities

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  • Proactive, flexible, and resilient team player with strong interpersonal skills

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  • Strong interest in understanding the business context behind data

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