Senior Data Engineer

Job not on LinkedIn

🔥 12 hours ago

🌐 Poland, Serbia, +2 more countries – Remote

🇵🇱 Poland – Remote 🇷🇸 Serbia – Remote 🇬🇪 Georgia – Remote 🇱🇹 Lithuania – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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SOFTSWISS

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📣 Marketing

🎮 Gaming

Consulting • Marketing • Gaming

SOFTSWISS is a leading provider of iGaming software solutions, offering a wide range of products including iGaming Platform, Sportsbook Platform, Game Aggregator, Jackpot Aggregator, and more. Established in 2009, SOFTSWISS has grown to employ over 1,700 people across 4 international offices in Poland, Georgia, Malta, and several remote locations. The company is known for its innovation in the iGaming industry, being the first Crypto iGaming provider in the world. SOFTSWISS not only promotes a dynamic and flexible work culture with comprehensive employee benefits but also commits to social responsibility by supporting various campaigns and initiatives.

📋 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

🎯 Requirements

• 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)

🏖️ Benefits

• 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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