Job Description
- Develop our scalable cloud-based data backbone which drives our data-driven company using the most up-to-date technologies in the data space
- Shape an AWS based streaming and batch data processing solution, ingesting data from 3rd party as well as our internal backend services
- Create a financial data warehouse combining latest technologies with features required by regulatory requirements
- Prepare and clean structured and unstructured data and develop high-quality data models for advanced analytics, machine learning and AI use cases
- Work with highly ambitious and skilled people in our growing data department
- Work closely together with our data scientists, product & development colleagues to release smart features for our product
- Build interactive dashboards and reporting solutions to support stakeholders, such as management, marketing, sales and quantitative research
- Share your expert knowledge about data best practices within the company
Qualifications
- Excellent University degree in computer science, mathematics, natural sciences, or similar field and relevant working experience
- Experience designing and operating data pipelines in AWS
- Excellent SQL Skills, including advanced concepts such as window functions, experience with dbt is a plus
- Very good programming skills in Python, including frameworks like PySpark
- Knowledge of Java and Kotlin is a plus
- Experience with AWS Services like S3, Athena, Redshift and Glue
- Experience using infrastructure-as-code tools such as terraform
- A passion for everything-as-code and code that is well architected, testable and documented
- Data-driven and good with numbers whilst being able to explain complex concepts in simple terms
- Experience using agile frameworks like Scrum
- Interest in financial services and markets
- Fluent English communication and presentation skills
- Sense of humour and positive outlook on life
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