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Data Engineer – Senior

Softswiss
2 days ago
Full-time
Remote
Poland

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:

  • Full-time remote work opportunities and flexible working hours

  • Private insurance

  • Additional 1 Day Off per calendar year

  • Sports program compensation

  • Comprehensive Mental Health Programme

  • Free online English lessons with a native speaker

  • Generous referral program

  • Training, internal workshops, and participation in international professional conferences and corporate events.