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Senior Data Engineer

🕒 vor 6 Tagen

⏰ Vollzeit

🟠 Senior

🚰 Dateningenieur

🗣️🇺🇸🇬🇧 Englisch erforderlich

🗣️🇷🇺 Russisch erforderlich

Woher diese Stelle stammt

Veröffentlicht auf der Karriereseite von SOFTSWISS, nicht über eine Jobbörse

Von Remote Rocketship zum ersten Mal gesehen vor 6 Tagen

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Logo of SOFTSWISS

SOFTSWISS

1001 - 5000 Mitarbeiter

Gegründet 2009

💼 Beratung

📣 Marketing

🎮 Gaming

Consulting • Marketing • Gaming

Founded in 2009, SOFTSWISS is a strategic technology partner for iGaming operators worldwide. With almost two decades of experience, the company delivers compliance-focused, scalable solutions that provide operators with the reliable foundation to launch, grow, and expand confidently across regulated markets. Headquartered in Malta with offices in Poland and Georgia, SOFTSWISS operates through a global network of 2,200+ iGaming professionals across 30 countries. In 2024, the company strengthened its regional presence through strategic leadership appointments, including motorsport legend Rubens Barrichello as Non-Executive Director for Latin America.

Beschreibung

• Build business-critical, robust, and self-service data products using Apache Spark, Kafka, Delta Lake, and other big data technologies • Ensure pipeline performance and data quality through scalable architecture and optimization • Refine data solutions as business requirements and technical constraints evolve • Collaborate with teams to understand data needs and support adoption of data products across the company • Work with modern data stack and AI tools to build complex solutions • Design solutions to technical challenges and influence platform architecture • Research, develop, and integrate new data processing tools and technologies

🎯 Anforderungen

• 5+ years of software engineering experience with expertise in development, deployment, and integration • Proficiency in at least one high-level programming language (Scala, Java, Python or equivalent) • Experience in data environments, such as Data Lakes, Data Warehouses, Data Marts, data transformation concepts, and working with large data volumes • Experience building ETL pipelines for feature engineering on large-scale datasets using Apache Spark and Delta Lake • Experience sourcing and modelling data from application APIs • Experience building stream-processing applications using Spark-Streaming, Kafka Streams or others • Experience designing and implementing monitoring, alerting, and observability solutions for data pipelines using Prometheus, Grafana, Alertmanager or others • Strong analytical and problem-solving skills • Upper-intermediate proficiency in English and strong command of Russian • Master's, PhD, or equivalent experience in Software Engineering, Mathematics or Computer Science (nice to have)

🏖️ Vorteile

• Private health insurance • Sports benefits • Comprehensive Mental Health Program • Free English lessons (online) • Local language courses • Paid time off • Maternity leave support • Referral program rewards • Upskilling, internal workshops, and participation in professional conferences and corporate events

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