Senior Data Engineer

🕒 il y a 6 jours

🌐 Pologne, Serbie, +2 autres pays – Distant

🇵🇱 Pologne – Télétravail 🇷🇸 Serbie – Télétravail 🇬🇪 Géorgie – Télétravail 🇱🇹 Lituanie – Télétravail

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

👻 Score fantôme 10%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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SOFTSWISS

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1001 - 5000 employés

Fondée en 2009

💼 Conseil

📣 Marketing

🎮 Jeux vidéo

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.

Description

• 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

🎯 Exigences

• 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)

🏖️ Avantages

• 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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