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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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AWS
- SQL
- Terraform
- Python
- Kafka
- Kinesis
- Flink
- Spark Streaming
- Airflow
- PySpark
Benefits
Weiterbildungsangebote
- Free German language classes
Sonstige Vorteile
- International relocation support
- Complimentary subscription to Scalable Capital's PRIME+ Broker
Attraktive Vergütung
- Attractive compensation package
Betriebliche Altersvorsorge
- Company pension scheme
Öffi Tickets
- 50% contribution for Deutschland Jobticket
Mitarbeiterrabatte
- Flexible and discounted sports activities
Mentoring & Coaching
- In-house knowledge sharing
- Career development sessions
Sonstige Zulagen
- Individual Education Budget
Noch nicht perfekt?
- The Mobility HouseVollzeitmit HomeofficeSeniorMünchen
- yoummday
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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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AWS
- SQL
- Terraform
- Python
- Kafka
- Kinesis
- Flink
- Spark Streaming
- Airflow
- PySpark
Benefits
Weiterbildungsangebote
- Free German language classes
Sonstige Vorteile
- International relocation support
- Complimentary subscription to Scalable Capital's PRIME+ Broker
Attraktive Vergütung
- Attractive compensation package
Betriebliche Altersvorsorge
- Company pension scheme
Öffi Tickets
- 50% contribution for Deutschland Jobticket
Mitarbeiterrabatte
- Flexible and discounted sports activities
Mentoring & Coaching
- In-house knowledge sharing
- Career development sessions
Sonstige Zulagen
- Individual Education Budget
Über das Unternehmen
Scalable GmbH
Branche
FinancialServices
Beschreibung
Scalable Capital is a leading digital investment and banking platform, empowering people across Europe to shape their finances.
Noch nicht perfekt?
- The Mobility House
Senior Data Engineer / Software Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorMünchen - yoummday
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin, München, Halle (Saale) - XIBIX Solutions GmbH
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorUnterschleißheim, Konstanz, Hamburg, Landshut, Berlin, München - Alexander Thamm GmbH
Principal Data Engineer(m/w/x)
VollzeitRemoteSeniorMünchen, Frankfurt am Main, Berlin, Leipzig, Stuttgart, Essen, Nürnberg - NavVis
Senior Software Engineer Python & AWS(m/w/x)
Vollzeitmit HomeofficeSeniorMünchen