Big Data Engineer role developing state - of - the - art solutions for financial crime prevention at ING. Collaborating with teams to manage high volume data and deliver effective technical solutions.
About the role
- Big Data Engineer handling both internal and external stakeholders for data processing related to fraud and compliance at ING. Managing and transforming high volume data and working closely with project teams.
Responsibilities
- Dealing with both internal and external stakeholders
- Managing, transforming and cleansing high volume data, helping our customers solve business problems in the area of fraud, compliance and financial crime
- Having regular team sprints and Scrum meetings with your Projects team
- Working closely with Business Analysts, Technical Leads, Project Managers and Solutions Architects, with everyone following the same goal of meeting our customer expectations and delivering a first-class service
Requirements
- Proven big data experience, either from an implementation or a data science prospective
- Knowledge of big data technologies (Spark, Hadoop, Elasticsearch)
- Knowledge of functional programming
- Knowledge of relational and non-relational databases
- Experience in working in an Agile environment
- Good understanding of customer needs and ability to translate them into highly-effective technical solutions
- Knowledge how to determine work breakdown and tasking, resolve technical issues, understand technical architectures
- Coding background in Scala is a plus
- Automation and optimisation mindset
- Good Communication and Presentations skills
- Facilitation and problem-solving skills
- Proactive attitude, always on the look-out for improving your and our way of working
- Experience of building data processing pipelines for use in production “hands off” batch systems, including either traditional ETL pipelines and/or analytics pipelines
Job title
Job type
Experience level
Salary
Degree requirement
No Education Requirement
Tech skills
Location requirements
Senior Data Engineer focusing on Databricks in a market - leading company. Designing data architectures and optimizing data workflows in a collaborative environment.
Senior Data Architect Lead at Leidos developing enterprise data and analytics solutions for the Department of War. Collaborating with teams to implement data strategies and governance frameworks.
Senior Data Engineer Lead at Leidos, enhancing enterprise data solutions for DoD organizations. Collaborating with teams to deliver scalable data analytics and AI capabilities.
Data Engineer building advanced technology solutions for clients. Organizing and making disparate data meaningful to impact missions in fraud detection, cancer research, and national intelligence.
Staff Data Engineer on Real World Evidence team driving large - scale data initiatives. Collaborating with cross - functional teams to optimize data pipelines and improve healthcare outcomes.
Data Engineer Trainee developing expertise in Python, SQL, and modern cloud technologies. Innovating in a dynamic team environment with a focus on practical application.
AWS Data Engineer designing and maintaining scalable cloud - based data platforms within Banking and Financial Services at EXL. Collaborating across teams to enable data - driven decision - making through cloud technologies.
Senior Data Engineer designing and scaling advanced data platforms for 5G and future 6G innovations at Nokia. Building robust data pipelines while collaborating with Data Scientists and Engineers in a hybrid setting.
Senior Data Engineering Consultant at Gradion transforming data infrastructure for global clients. Modernizing legacy systems and operationalizing AI/ML solutions with cloud and AI consultants.