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Senior Data Engineer

idealo internet GmbH · Berlin | Deutschland · Onsite

Gehalt auf Anfrage

Gefunden am 05.06.2026

Match

84%

Fit in Skills, Kultur und Entwicklungspfad.

Beschreibung

Job Zusammenfassung Du entwickelst und betreibst skalierbare ETL‑Pipelines und Cloud‑Infrastruktur auf AWS (S3, Lambda, CDK), sicherst Datenintegration mit SQL, Spark und Airflow und unterstützt Backend‑Services in TypeScript und Java. Job Zusammenfassung Du entwickelst und betreibst skalierbare ETL‑Pipelines und Cloud‑Infrastruktur auf AWS (S3, Lambda, CDK), sicherst Datenintegration mit SQL, Spark und Airflow und unterstützt Backend‑Services in TypeScript und Java. Deine Rolle im Team As part of Team CRM Tech in the Engineering department, you will work in a hybrid role at the intersection of Software Development and Data Engineering. As part of Team CRM Tech in the Engineering department, you provide a strong foundation for business growth on cloud-based infrastructure (AWS) and robust platform products. While driving the ongoing improvement of our core products identity resolution and CRM tech platform, including ETL pipelines, you ensure compliant data integration from distributed sources, supporting our retention strategy with a strong focus on reliability and scalability. Beyond your data engineering focus, you will have the chance to broaden your impact by supporting our backend services in Subscription Management and Messaging Service, working with technologies such as TypeScript, AWS CDK and Java Spring Boot. Writing testable, maintainable, and high-quality code is a core part of the role, including taking operational responsibility for developed components. A pragmatic and adaptable approach is essential to deal with evolving requirements while delivering lightweight and flexible solutions to stakeholder problems. Ownership and accountability are key, and the role requires balancing implementation effort with expected value, always aiming for meaningful and cost-conscious outcomes. Unsere Erwartungen an dich Qualifikationen You are proficient in working with data models, schemas and integration points, and confident using SQL, Spark and Airflow. Familiarity with infrastructure and messaging tools like AWS CDK, SQS, SNS, Kafka or Aiven is a plus. You proactively seek and integrate feedback to foster personal and professional development, while excelling in an environment that supports your growth, initiative and creativity. You have a forward-thinking mindset, enjoy diving into new technologies and approaches, such as AI, early on, and thrive on collaboration, knowledge sharing, and driving innovation within teams. You feel responsible not only for your own work results, but also for your team's success. Great communication skills in English complete your profile, and this allows you to exchange, discuss and share knowledge with colleagues and stakeholders. Erfahrung You have solid experience in designing and optimizing ETL pipelines to extract, transform and load data from distributed sources. You have hands-on experience with cloud-based data architectures, ideally including Snowflake and AWS services such as Lambda and S3. You bring several years of experience developing applications in Python and TypeScript, applying clean code and testing principles. You have a strong interest in software engineering and enjoy contributing to backend services such as our Subscription Management and Messaging Service, and experience with Java is an advantage. Benefits Work-Life-Integration 🏖️ Workation ⏰ Flexible Arbeitszeiten Gesundheit, Fitness & Fun 🎳 Team Events Themen mit denen du dich im Job beschäftigst Cloud Computing AI Big Data Metadaten Level: Senior Job Feld: BI, Back End Anstellung: Teilzeit / Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Onsite Unternehmenstyp: Etablierte Firma Branche: Internet, IT, Telekom Ort: Berlin | Deutschland

Tech Stack

AWSJavaPythonSQLSpringTypescript

Warum passt du zu dieser Stelle?

Fit technisch: Stark auf Backend und API-Architektur.

Gaps: Fehlende Tool-Erfahrung in 1-2 Schlüsselbereichen.

Success-Wahrscheinlichkeit: Hoch bei schneller Einarbeitung.