About the Role
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
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 who will partner closely with business and technology stakeholders to deliver high-quality scalable and trusted data products supporting Financial Crime Prevention initiatives.
Key Responsibilities
Develop a deep understanding of enterprise data and assess its suitability for various internal stakeholders
Act as a single point of contact for data consumers communicating changes and managing enhancement requests
Engage with business and IT stakeholders to capture and refine complex data requirements
Perform in-depth data analysis to evaluate feasibility challenge assumptions and align requirements with available data
Translate business needs into clear technical documentation and collaborate with engineering teams to drive delivery within an Agile framework
Represent stakeholder needs throughout the data lifecycle working closely with data acquisition data modeling and cross-functional platform teams
Support testing activities to ensure delivered data solutions meet business expectations
Produce detailed analytical reports to address business queries and support decision-making
Leverage statistical methods programming languages and visualization tools to perform advanced data analysis and feasibility assessments
About the Team
You will join the Financial Crime Prevention (FCP) Data Products Team within GCRG Technology based in Krakow Poland.
The teams mission is to build a standardized comprehensive and user-friendly suite of data products that support Financial Crime Prevention applications and processes.
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.
Required Qualifications & Experience
Bachelors or Masters degree in Information Technology Computer Science Mathematics or related field with a focus on data analysis
5 years of experience as a Data Engineer preferably in Big Data environments
Strong hands-on experience performing complex data analysis and advanced SQL queries
Proficiency in Python Scala Spark and SQL
Experience with Big Data and cloud technologies such as Azure Databricks Power BI or equivalent
Good understanding of Agile methodologies and incremental delivery models
Strong communication skills with the ability to build trusted partnerships across business and technology teams
Excellent analytical data management and problem-solving abilities
Proactive flexible and resilient team player with strong interpersonal skills
Strong interest in understanding the business context behind data
Required Skills:
Required Qualifications & Experience Bachelors or Masters degree in Information Technology Computer Science Mathematics or related field with a focus on data analysis 5 years of experience as a Data Engineer preferably in Big Data environments Strong hands-on experience performing complex data analysis and advanced SQL queries Proficiency in Python Scala Spark and SQL Experience with Big Data and cloud technologies such as Azure Databricks Power BI or equivalent Good understanding of Agile methodologies and incremental delivery models Strong communication skills with the ability to build trusted partnerships across business and technology teams Excellent analytical data management and problem-solving abilities Proactive flexible and resilient team player with strong interpersonal skills Strong interest in understanding the business context behind data
About the RoleAre 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 dataAt UBS we are re-imagining the way we work collaborate and deliver value. As part of our digital transfo...
About the Role
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
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 who will partner closely with business and technology stakeholders to deliver high-quality scalable and trusted data products supporting Financial Crime Prevention initiatives.
Key Responsibilities
Develop a deep understanding of enterprise data and assess its suitability for various internal stakeholders
Act as a single point of contact for data consumers communicating changes and managing enhancement requests
Engage with business and IT stakeholders to capture and refine complex data requirements
Perform in-depth data analysis to evaluate feasibility challenge assumptions and align requirements with available data
Translate business needs into clear technical documentation and collaborate with engineering teams to drive delivery within an Agile framework
Represent stakeholder needs throughout the data lifecycle working closely with data acquisition data modeling and cross-functional platform teams
Support testing activities to ensure delivered data solutions meet business expectations
Produce detailed analytical reports to address business queries and support decision-making
Leverage statistical methods programming languages and visualization tools to perform advanced data analysis and feasibility assessments
About the Team
You will join the Financial Crime Prevention (FCP) Data Products Team within GCRG Technology based in Krakow Poland.
The teams mission is to build a standardized comprehensive and user-friendly suite of data products that support Financial Crime Prevention applications and processes.
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.
Required Qualifications & Experience
Bachelors or Masters degree in Information Technology Computer Science Mathematics or related field with a focus on data analysis
5 years of experience as a Data Engineer preferably in Big Data environments
Strong hands-on experience performing complex data analysis and advanced SQL queries
Proficiency in Python Scala Spark and SQL
Experience with Big Data and cloud technologies such as Azure Databricks Power BI or equivalent
Good understanding of Agile methodologies and incremental delivery models
Strong communication skills with the ability to build trusted partnerships across business and technology teams
Excellent analytical data management and problem-solving abilities
Proactive flexible and resilient team player with strong interpersonal skills
Strong interest in understanding the business context behind data
Required Skills:
Required Qualifications & Experience Bachelors or Masters degree in Information Technology Computer Science Mathematics or related field with a focus on data analysis 5 years of experience as a Data Engineer preferably in Big Data environments Strong hands-on experience performing complex data analysis and advanced SQL queries Proficiency in Python Scala Spark and SQL Experience with Big Data and cloud technologies such as Azure Databricks Power BI or equivalent Good understanding of Agile methodologies and incremental delivery models Strong communication skills with the ability to build trusted partnerships across business and technology teams Excellent analytical data management and problem-solving abilities Proactive flexible and resilient team player with strong interpersonal skills Strong interest in understanding the business context behind data
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