2 дня назад
Senior Data Engineer (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (AWS/Fintech): Building and operating a scalable AWS-based data platform and lakehouse for financial services with an accent on robust data pipelines, regulatory reporting, and high-quality data models. Focus on designing cloud data processing solutions, implementing pipeline testing and monitoring, and preparing structured and unstructured data for analytics and AI use cases.
Location: Berlin, Germany. International relocation support is provided if required, and working from abroad is possible.
Company
is a European digital investment and banking platform offering brokerage, wealth management, lending, savings, and related financial services.
What you will do
- Develop and maintain a scalable, cloud-based data platform for a data-driven financial services business.
- Design AWS data processing solutions that ingest information from internal backend services and third-party sources.
- Extend the lakehouse to support regulatory reporting, analytics, and decision-making across the company.
- Prepare and clean structured and unstructured data and build data models for reporting, advanced analytics, and AI use cases.
- Design testing and monitoring components to ensure data pipeline accuracy, reliability, and performance.
- Collaborate with data, product, and engineering teams to deliver data-enabled product features and share engineering best practices.
Requirements
- Significant professional experience in data engineering and a degree in computer science, mathematics, natural sciences, or a related field.
- Hands-on experience designing and operating AWS data pipelines using services such as S3, Athena, DMS, and Glue.
- Advanced SQL skills, including window functions, and strong programming skills in Python.
- Knowledge of AWS cloud networking and security, including IAM, VPC, and Security Groups.
- Experience with Infrastructure as Code, ideally Terraform, and preferably Airflow or PySpark.
- Fluent English communication and presentation skills, alongside strong problem-solving and organizational abilities.
Nice to have
- Experience with dbt.
- Experience with streaming technologies such as Kafka, Kinesis, Flink, or Spark Streaming.
- Interest in financial services and markets.
Culture & Benefits
- International, diverse, and inclusive environment with teams across Europe.
- Latest hardware and tools for daily work.
- Knowledge-sharing sessions, career development opportunities, and an individual education budget.
- Free German language classes and international relocation support.
- Company pension scheme, attractive compensation package, and a monthly 50% contribution toward the Deutschland Jobticket.
- Complimentary PRIME+ Broker subscription and discounted sports activities through Urban Sports Club.
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