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Senior Data Engineer(m/w/x)
Developing AWS-based data processing solutions for a digital investment platform, extending lakehouse for regulatory use. Hands-on AWS data pipeline design with S3, Athena, Glue, and advanced SQL skills required. Free German classes, international relocation support, Jobticket contribution.
Requirements
- University degree in computer science, mathematics, natural sciences, or similar field
- Significant experience in data engineering
- Hands-on experience designing and operating data pipelines in AWS with services like S3, Athena, DMS and Glue
- Excellent SQL skills, including advanced concepts such as window functions
- Advanced knowledge about cloud networking & security (AWS IAM, VPC, Security Groups)
- Proficient and experienced with Infrastructure as Code, ideally Terraform
- Strong programming skills in Python, ideally including Airflow and data processing frameworks such as PySpark
- Experience with data streaming technologies like Kafka, Kinesis, Flink and Spark Streaming is a plus
- Strong problem-solving and organizational skills
- Interest in financial services and markets
- Fluent English communication and presentation skills
Tasks
- Develop a scalable, cloud-based data platform
- Shape an AWS-based data processing solution
- Ingest data from internal backend services and third parties
- Extend the lakehouse for regulatory use cases
- Empower teams in decision-making and drive innovation
- Prepare and clean structured and unstructured data
- Develop high-quality data models for reporting and analytics
- Design and implement testing and monitoring components
- Ensure accuracy, reliability, and performance of data pipelines
- Collaborate with data teams and product & engineering colleagues
- Stay updated on industry developments in data engineering
- Share expertise and best practices within the company
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- SQL
- Terraform
- Python
- Kafka
- Kinesis
- Flink
- Spark Streaming
- Airflow
- PySpark
Benefits
Learning & Development
- Free German language classes
Other Benefits
- International relocation support
- Complimentary subscription to Scalable Capital's PRIME+ Broker
Competitive Pay
- Attractive compensation package
Retirement Plans
- Company pension scheme
Public Transport Subsidies
- 50% contribution for Deutschland Jobticket
Corporate Discounts
- Flexible and discounted sports activities
Mentorship & Coaching
- In-house knowledge sharing
- Career development sessions
Additional Allowances
- Individual Education Budget
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Senior Data Engineer(m/w/x)
Developing AWS-based data processing solutions for a digital investment platform, extending lakehouse for regulatory use. Hands-on AWS data pipeline design with S3, Athena, Glue, and advanced SQL skills required. Free German classes, international relocation support, Jobticket contribution.
Requirements
- University degree in computer science, mathematics, natural sciences, or similar field
- Significant experience in data engineering
- Hands-on experience designing and operating data pipelines in AWS with services like S3, Athena, DMS and Glue
- Excellent SQL skills, including advanced concepts such as window functions
- Advanced knowledge about cloud networking & security (AWS IAM, VPC, Security Groups)
- Proficient and experienced with Infrastructure as Code, ideally Terraform
- Strong programming skills in Python, ideally including Airflow and data processing frameworks such as PySpark
- Experience with data streaming technologies like Kafka, Kinesis, Flink and Spark Streaming is a plus
- Strong problem-solving and organizational skills
- Interest in financial services and markets
- Fluent English communication and presentation skills
Tasks
- Develop a scalable, cloud-based data platform
- Shape an AWS-based data processing solution
- Ingest data from internal backend services and third parties
- Extend the lakehouse for regulatory use cases
- Empower teams in decision-making and drive innovation
- Prepare and clean structured and unstructured data
- Develop high-quality data models for reporting and analytics
- Design and implement testing and monitoring components
- Ensure accuracy, reliability, and performance of data pipelines
- Collaborate with data teams and product & engineering colleagues
- Stay updated on industry developments in data engineering
- Share expertise and best practices within the company
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- SQL
- Terraform
- Python
- Kafka
- Kinesis
- Flink
- Spark Streaming
- Airflow
- PySpark
Benefits
Learning & Development
- Free German language classes
Other Benefits
- International relocation support
- Complimentary subscription to Scalable Capital's PRIME+ Broker
Competitive Pay
- Attractive compensation package
Retirement Plans
- Company pension scheme
Public Transport Subsidies
- 50% contribution for Deutschland Jobticket
Corporate Discounts
- Flexible and discounted sports activities
Mentorship & Coaching
- In-house knowledge sharing
- Career development sessions
Additional Allowances
- Individual Education Budget
About the Company
Scalable GmbH
Industry
FinancialServices
Description
Scalable Capital is a leading digital investment and banking platform, empowering people across Europe to shape their finances.
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