Senior Python Engineer, Data Oriented

🕒 vor 2 Monaten

🇵🇱 Polen – Remote

⏰ Vollzeit

🟠 Senior

🔙 Backend-Entwickler

👻 Geisterscore 31%

Was es bedeutet: wie wahrscheinlich diese Stelle offen bleibt, ohne dass aktiv eingestellt wird.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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Lebenslauf hochladen

Software Mind

WebsiteLinkedInAlle Stellen

1001 - 5000 Mitarbeiter

Gegründet 1999

🤖 Künstliche Intelligenz

☁️ SaaS

📡 Telekommunikation

💰 Private Equity Round im 2020-12

Artificial Intelligence • SaaS • Telecommunications

Software Mind ist ein Technologieunternehmen, das sich auf Softwareentwicklung und digitale Transformationsdienste spezialisiert hat. Mit einem Fokus auf KI- und Cloud-Lösungen bietet das Unternehmen eine breite Palette von Dienstleistungen an, darunter individuelle Softwareentwicklung, Mobile-App-Entwicklung und Cloud-Beratung. Software Mind bedient verschiedene Branchen wie Finanzdienstleistungen, Telekommunikation, Biotechnologie und Medien und bietet maßgeschneiderte Lösungen, um digitale Transformationen zu beschleunigen und das Geschäft weltweit zu fördern.

Beschreibung

• Design and implement new data capabilities, including large-scale data ingestion, transformation pipelines, robust high-performance APIs, and consumers for high-frequency event streams. • Contribute to the development of the proprietary data platform and help evolve it towards a data mesh architecture for the enterprise. • Build solutions using the standard technology stack: Python, Linux via WSL, PostgreSQL, SQL Server, Databricks, and cloud infrastructure spanning Azure and AWS. • Develop advanced mechanisms for data ingestion, transformation, and mass-parallel orchestration of network IO. • Model data for operational and analytical purposes in collaboration with your team, other engineering teams, and analytical data customers. • Work with infrastructure teams to maintain Infrastructure as Code and deliver valuable features for the engineering platform. • Improve data quality across the estate by defining and acting on indicators such as completeness, accuracy, reliability, and usability. • Evaluate potential new data sources for specific applications, assessing their completeness, accuracy, and business value. • Contribute to quality automation in CI/CD processes, optimising for a bug-free release cadence and a positive developer experience. • Support test automation through platform enhancements and additional automated tests. • Maintain clear technical documentation, starting with well-documented code and extending to materials for technical and non-technical audiences. • Participate in a pairing-first development team by sharing expertise, learning from colleagues, and contributing to an open engineering culture. • Mentor and coach less experienced engineers through design discussions, code reviews, and practical knowledge sharing. • Assess application security and API quality to ensure solutions comply with relevant application security and API standards.

🎯 Anforderungen

• Senior-level commercial experience as a Software Engineer, with strong hands-on Python development skills. • Practical experience building data platforms, data services, or backend systems that process, expose, or analyse large datasets. • Strong understanding of data ingestion, transformation, event-driven or stream-oriented processing, and high-performance API development. • Experience with relational databases and data modelling, especially PostgreSQL and/or SQL Server, for both operational and analytical use cases. • Working knowledge of cloud infrastructure, preferably across Azure and AWS, and the ability to collaborate effectively with infrastructure or platform teams. • Experience with Databricks or comparable data engineering platforms would be valuable for working with large-scale data workflows. • Comfortable working in Linux-based development environments, including Linux via WSL. • Experience maintaining or contributing to Infrastructure as Code and understanding how platform engineering supports product delivery. • Strong quality mindset, including CI/CD, automated testing, test automation, debugging, code reviews, and continuous improvement of release cadence. • Ability to evaluate data source quality using criteria such as completeness, accuracy, consistency, and suitability for specific applications. • Good understanding of secure engineering practices, application security expectations, and API standards. • Strong documentation habits and ability to communicate technical decisions clearly to technical and non-technical audiences. • Collaborative, pairing-friendly approach with the ability to mentor others, challenge decisions constructively, and take ownership of outcomes. • Fluent communication in English.

🏖️ Vorteile

• Flexible employment and remote work • International projects with leading global clients • International business trips • Non-corporate atmosphere • Language classes • Internal & external training • Private healthcare and insurance • Multisport card • Well-being initiatives