3 days ago
Remote, PolandSenior
Responsibilities
- Build business-critical, robust, and self-service data products using Apache Spark, Kafka, Delta Lake, and other big data technologies.
- Design, develop, deploy, and integrate scalable data solutions and processing tools.
- Build ETL pipelines and perform feature engineering on large-scale datasets.
- Develop stream-processing applications using Spark Streaming, Kafka Streams, or equivalent technologies.
- Ensure pipeline performance and data quality through scalable architecture and optimization.
- Design and implement monitoring, alerting, and observability solutions for data pipelines.
- Refine data solutions as business requirements and technical constraints evolve.
- Collaborate with internal teams to understand data needs and support adoption of data products.
- Research and integrate new data processing tools and technologies while contributing to platform architecture.
Requirements
- At least 5 years of software engineering experience.
- Proficiency in at least one high-level programming language, such as Scala, Java, or Python.
- Experience with data lakes, data warehouses, data marts, data transformation, and large data volumes.
- Experience building ETL pipelines with Apache Spark and Delta Lake.
- Experience sourcing and modeling data from application APIs.
- Experience building stream-processing applications with Spark Streaming, Kafka Streams, or equivalent tools.
- Experience implementing monitoring, alerting, and observability for data pipelines using tools such as Prometheus, Grafana, or Alertmanager.
- Strong analytical and problem-solving skills.
- Upper-intermediate English proficiency and strong command of Russian.
- Preferred: experience with Apache Airflow, Kubernetes, containerization, cloud platforms, CDC, Debezium, ClickHouse, data quality validation, data lineage, NoSQL and relational databases, and search systems.
- Preferred: master’s degree, PhD, or equivalent experience in Software Engineering, Mathematics, or Computer Science.
Benefits
- Private health insurance.
- Sports benefits.
- Comprehensive mental health program.
- Free online English lessons and local language courses.
- Paid time off and maternity leave support.
- Referral program rewards.
- Upskilling, internal workshops, professional conferences, and corporate events.
Tech Stack
Apache AirflowApache CassandraApache HBaseApache KafkaApache SparkAWSAzureClickHouseElasticsearchGoogle Cloud PlatformGrafanaJavaKubernetesMongoDBMySQLPostgreSQLPrometheusPythonScala
Categories
Data Engineering
About SoftSwiss
SoftSwiss builds B2B software for online gambling operators, including a casino platform, sportsbook, and game aggregator, with white‑label and turnkey options. The privately held company, founded in 2009 and headquartered in St. Julian’s, Malta, also supports crypto-friendly casinos and compliance across regulated markets. Its business model centers on licensing its platforms and services to iGaming brands and integrating payments, content, and risk management tools.