Data Engineer - Senior

SOFTSWISS; Warszawa; On-site; PLN 240,000 - 360,000; Full time

Benefits offered by this job

Private health insurance

Sports benefits

Mental Health Program

Free English lessons

Local language courses

Paid time off

Maternity leave support

Referral program rewards

Upskilling, workshops & conferences

Job summary

SOFTSWISS is expanding its Data Platform team to design and build scalable data infrastructure powering analytics across the company. The role involves working with modern data stacks and AI tools to deliver robust data products and platform solutions.

You will design, develop, and integrate new data processing tools, optimize pipelines for performance and quality, and collaborate with teams to ensure data needs are met and adopted company-wide.

Qualifications

• 5+ years of software engineering experience
• Proficiency in at least one high-level programming language (Scala, Java, Python)
• Experience with large-scale data environments (data lakes, data warehouses)
• Experience building ETL pipelines with Spark/Delta Lake
• Experience with data sourcing from application APIs, streaming with Kafka/Spark-Streaming
• Familiarity with monitoring/observability tools (Prometheus, Grafana)
• Strong analytical and problem-solving skills
• Upper-intermediate English and strong Russian

Responsibilities

• Build robust, self-service data products using Spark, Kafka, Delta Lake
• Ensure pipeline performance and data quality through scalable architecture
• Refine data solutions as requirements evolve
• Collaborate with teams to understand data needs and drive adoption

Job description

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