This is a key technical role in the development and maintenance of data pipelines and modelling applications at the intersection of country risk analytical products and technology. Successful candidates will be creative, curious and independent problem solvers who are able to build robust and efficient data systems to address complex business issues within the country risk team while building relationships across technology peers in the wider organization. This is a fully hands-on position. As a Data Engineer, you will: :
As a Data Engineer, you will be expected to have :
- Working closely with a small, innovative team of data scientists and domain experts to design, build and support prototype solutions for machine learning and risk modelling applications
- Working with our DevOps team to design scalable infrastructure solutions to store and process datasets of different structures and sources for data science pipelines
- Evaluate and recommend tools, technologies and processes to ensure the highest quality product platform
- Keeping up to date with the latest evolutions in engineering best practice and technologies
- Support creation of web apps and desktop connections to bring a range of data creation, management and analytical applications to the wider team
Experience In The Following Is Also Helpful :
- Bachelor's degree and relevant working experience, or a Master's or higher degree, in a relevant field of study (Mathematics, Computer Science, Data Science, Engineering etc.)
- Strong analytical and problem-solving skills .
- Ability to independently develop in Python (or relevant languages) and program well-designed, testable and efficient code
- Data warehousing; No-SQL and SQL-based database technologies
- Familiarity with version control systems, the product development life cycle and different approaches to project management
- Experienced with cloud native technologies
- Commercial experience in building and supporting large scale web, app and API platforms
- Familiarity with big data frameworks such as Hadoop or Apache Spark
- Familiarity with the AWS application suite
- Familiarity with UI/UX design
- Experience with various machine learning techniques
- Experience with data tools in Python or R
- Job position matched to your experience and expectations
- Access to the latest information technologies
- Participation in conferences and trainings
- English classes
- Three days for charity/volunteering
- Chillout & fun room (table tennis, table football, Xbox, billiards)
- Attractive benefits package (private health care, life insurance, MultiSport card)
- Fruit days, coffee, tea, chocolate
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----------------------------------------------- Current Colleagues
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