Data Engineer - Senior
Overview & Purpose
SOFTSWISS is hiring a Senior Data Engineer to join our Data Operations team.
We need a true, experienced, accomplished professional who shares our culture and values.
Purpose of the Role
You’ll design and build scalable data products and infrastructure that power real-time analytics, enhance business reporting, and support innovation across SOFTSWISS platforms.
Key Responsibilities
- Build business-critical, robust and self-service data products using Apache Spark, Kafka, Delta Lake and other big data technologies.
- Design an extensible, highly scalable and optimised real-time data platform.
- Develop and maintain the data products crucial for product innovation and business reporting.
- Continually acquire new data sources to develop increasingly rich datasets that characterise users' behaviour and finances.
- Drive innovation by exploring new technologies and developing creative solutions to complex data challenges.
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.
- Strong analytical and problem-solving skills.
- Strong communication skills in English.
Nice to Have
- Experience with workflow orchestration tools such as Apache Airflow.
- Familiarity with cloud platforms (AWS, GCP, Azure, OCI).
- Familiarity with CDC and Debezium.
- Familiarity with Clickhouse.
- 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).
- DevOps tools (e.g. Ansible, Docker, Kubernetes).
- Masters, PhD, or equivalent experience in Software Engineering, Mathematics or Computer Science.
Learn more about our hiring process here – what to expect, how to prepare, and what makes SOFTSWISS different.
About us:
SOFTSWISS is an international company, an iGaming software expert. We don't only follow iGaming market trends, we create them! SOFTSWISS is a recognised industry leader in iGaming software solutions development, covering almost all aspects of the iGaming industry. The company has an international team and an official presence in several countries. Projects powered by SOFTSWISS receive numerous awards and accolades from industry media.
Our Mission:
Changing the iGaming industry through technological innovation.
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.
If you would like to find out more about us, please visit our website https://www.softswiss.com.
- Department
- Data Operations
- Role
- Data Engineer - Data Operations
- Locations
- Warszawa, Poland, Poznań, Poland, Belgrade, Serbia, T'bilisi, Georgia
- Remote status
- Fully Remote
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