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 selection and integration of data related tools, frameworks, and applications required to expand platform capabilities.
- Understand and implement best practices in management of enterprise data, including master data, reference data, metadata, data quality and lineage.
Qualifications
- Bachelor’s degree in computer science, math, engineering, or relevant technical field.
- 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.
- One year of experience developing and supporting modern data architectures.
- One year of experience developing and supporting large-scale distributed applications.
- One year of experience with Linux operations and development, including basic commands and shell scripting.
- One year of experience with execution of DevOps methodologies and continuous integration/continuous delivery.
- Knowledge of SQL for data profiling, analysis and extraction.
- Results oriented with a strong customer focus.
- 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 totarget mappings and ETL.
- Experience with advanced analytics and machine learning concepts and technology implementations.
- Experience with data analysis and using data visualization tools to describe data.
- 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
- 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, which goal 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 UK, US, NL and Hungary. In the Netherlands, Aegon generates value via a 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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AGT Hungary IT Services LLC (HUN entity)