# Data Engineer - Senior at SOFTSWISS

> Open job at SOFTSWISS in Warsaw, Poznań, Poland. Workplace: Remote (Poland).

Source: Poland Dev Jobs, https://poland-devjobs.com/jobs/softswiss-data-engineer-senior-21y3t61
Posted 2 November 2026. Last checked on the employer's career site: 3 November 2026.

## Facts

- Company: [SOFTSWISS](https://poland-devjobs.com/companies/softswiss)
- Location: Warsaw, Poznań, Poland
- Workplace: Remote (Poland)
- Employment type: Full-time
- Polish: Not required
- English: Fluent
- Skills: AWS, Airflow, Azure, Cassandra, ClickHouse, Google Cloud, Grafana, Java, Kafka, Kubernetes, MongoDB, Prometheus, Python, Scala, Spark
- Not mentioned in the job post: salary, visa sponsorship, relocation, where you can apply from

## 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

## How to apply

Apply on the job page, https://poland-devjobs.com/jobs/softswiss-data-engineer-senior-21y3t61: its Apply button opens the employer's own application page.

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