Scalable

Senior Data Engineer

Scalable

full-time

Posted on:

Origin:  • 🇩🇪 Germany

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Job Level

Senior

Tech Stack

AirflowAWSCloudJavaKotlinPySparkPythonSQLTerraform

About the role

  • Develop a scalable cloud-based data backbone driving the company using up-to-date data technologies
  • Shape an AWS-based batch data processing and data streaming solution ingesting data from internal backend services and third parties
  • Create a financial data warehouse combining modern technologies with features required for regulatory needs
  • Prepare and clean structured and unstructured data and develop high-quality data models for reporting, advanced analytics, and AI use cases
  • Collaborate closely with data scientists, product and development colleagues to release product features
  • Work within growing data teams and share expert knowledge about data best practices across the company

Requirements

  • Excellent University degree in computer science, mathematics, natural sciences, or a 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 strongly desired
  • Very good programming skills in Python, ideally including Airflow and data processing frameworks (e.g. PySpark)
  • Knowledge of Java and Kotlin is a plus
  • Experience with AWS services like S3, Athena, DMS and Glue
  • Experience using infrastructure-as-code tools such as Terraform
  • Passion for everything-as-code and writing well architected, testable, documented code
  • Data-driven and good with numbers while able to explain complex concepts simply
  • Experience using agile frameworks like Scrum
  • Understanding of data governance requirements for a regulated industry
  • Interest in financial services and markets
  • Fluent English communication and presentation skills
  • Sense of humour and positive outlook on life