Data Engineer - Senior

Overview: We invite you to join our Data Platform team — building the data infrastructure that powers analytics and insights for SOFTSWISS. We process enterprise-scale data and serve multiple internal teams across the company. In this role, you'll have the opportunity to: - 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 Key responsibilities: - 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 Required Experience: - 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 in building ETL pipelines to perform feature engineering on large-scale datasets using Apache Spark and Delta Lake - Experience with sourcing and modelling data from application APIs - Experience with 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 Nice to have: - Experience with workflow orchestration tools such as Apache Airflow - Experience with Kubernetes and containerization - Familiarity with cloud platforms (AWS, GCP, Azure, OCI) - Familiarity with CDC and Debezium - Familiarity with Clickhouse - Familiarity with data quality validation frameworks for data pipelines - Familiarity with Data Lineage - Familiarity with low-latency NoSQL datastores (such as HBase, Cassandra, MongoDB), Relational databases (such as MySQL, Postgres) and Search systems (such as ElasticSearch, Solr) - Masters, PhD, or equivalent experience in Software Engineering, Mathematics or Computer Science Our 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