Data Engineer

Responsibilities:

• Work collaboratively with other engineers, data scientists, analytics teams, and business product owners in an agile environment
• Build and support the operation of Cloud and On-Premises enterprise data infrastructure and tools
• Design robust, reusable, and scalable data-driven solutions, and data pipeline frameworks to automate the ingestion, processing, and delivery of structured and unstructured batch and real-time streaming data
• Build data APIs and data delivery services to support critical operational processes, analytical models, and machine learning applications
• Assist in the selection and integration of data-related tools, frameworks, and applications required to expand platform capabilities
• Understand and implement best practices in the management of enterprise data, including master data, reference data, metadata, data quality, and lineage

Qualifications:

• Bachelor’s degree in computer science, math, engineering, or a relevant technical field (or equivalent experience)
• Minimum two years of collective experience in the application of data engineering, data analytics, data warehousing, business intelligence, database administration, and data integration concepts and methodologies
• Minimum one year of experience with data analysis and using data visualization tools (PowerBI or Tableau) to describe data
• Experience in engaging with customers, gathering requirements, and translating them into data visualization solutions
• Minimum one year of experience developing and supporting modern data architectures
• Minimum one year of experience developing and supporting large-scale distributed applications
• Minimum one year of experience with the execution of DevOps methodologies and continuous integration/continuous delivery
• Good knowledge of SQL for data profiling, analysis, and extraction
• Ability to work within a team environment
• Ability to prioritize and meet tight deadlines
• Ability to learn and keep pace with the latest technology advances and quickly grasp new technologies to support the environment and contribute to project deliverables

Preferred Qualifications:

• Master’s degree in a technical field (e.g., computer science, math, engineering)
• Understanding of big data and real-time streaming analytics processing architecture and ecosystems
• Understanding of data warehousing architecture and implementation, including source-to-target mappings and ETL
• Experience with advanced analytics, machine learning concepts, and technology implementations
• One year of experience with Linux operations and development, including basic commands and shell scripting
• Relevant technology or platform certification (AWS, Microsoft, etc.)
• Software development experience in relevant programming languages (i.e., Java, Python, Scala, Node.js)

What we offer:

• Competitive salary
• Comprehensive health package
• Cafeteria
• All You Can Move
• Brand new office at an excellent location
• Hybrid working
• Opportunities for growth and advancement
• A highly people-centric, positive, and supportive work environment

Aegon is an international financial service holding company headquartered in The Hague, the Netherlands. Our ambition is to build leading businesses that offer their customers investment, protection, and retirement solutions. Our purpose is to help people live their best lives, a goal that runs through all of our activities. The company has multiple locations across the globe, with core markets in the UK and the US, partnerships in Spain & Portugal, Brazil, and China, and an Asset Management organization with locations in the UK, US, NL, and Hungary. In the Netherlands, Aegon generates value via strategic shareholding in a market-leading insurance and pensions company.

Aegon Global Business Solutions Center is supporting these businesses with IT, Finance, Risk, Model Validation, Actuarial, Audit, and Asset management services with a growing team of approx. 300 people, based in Budapest, Hungary.

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