Data Engineer - Senior

Posted 2 Days Ago
Be an Early Applicant
5 Locations
In-Office or Remote
Senior level
Blockchain • Gaming • Payments • Software
Changing the iGaming industry for the better through technical innovation
The Role
Build and optimize enterprise-scale data products and pipelines using Spark, Kafka, Delta Lake, and related big data technologies. Design scalable architectures, improve pipeline performance and data quality, develop stream-processing and ETL solutions, and implement monitoring and observability. Collaborate with internal teams to understand data needs, support adoption, and evolve solutions as requirements change. Research and integrate new data-processing tools while influencing data platform architecture.
Summary Generated by Built In
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

Skills Required

  • 5+ years of software engineering experience in development, deployment, and integration
  • 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 for feature engineering on large-scale datasets using Apache Spark and Delta Lake
  • Experience sourcing and modeling data from application APIs
  • Experience building stream-processing applications using Spark Streaming, Kafka Streams, or similar technologies
  • Experience designing and implementing monitoring, alerting, and observability solutions for data pipelines
  • Strong analytical and problem-solving skills
  • Upper-intermediate English proficiency and strong command of Russian
  • Experience with workflow orchestration tools such as Apache Airflow
  • Experience with Kubernetes and containerization
  • Familiarity with cloud platforms including AWS, GCP, Azure, or OCI
  • Familiarity with CDC and Debezium
  • Familiarity with ClickHouse
  • Familiarity with data quality validation frameworks for data pipelines
  • Familiarity with data lineage
  • Familiarity with HBase, Cassandra, MongoDB, MySQL, PostgreSQL, Elasticsearch, or Solr
  • Master’s degree, PhD, or equivalent experience in Software Engineering, Mathematics, or Computer Science

SOFTSWISS Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about SOFTSWISS and has not been reviewed or approved by SOFTSWISS.

  • Healthcare Strength — Health insurance or medical-service compensation from the first day and recurring therapy sessions indicate robust core coverage and mental-health support. Feedback suggests these provisions stand out relative to basic packages, with options like gym memberships or sports allowances in some locations.
  • Flexible Benefits — Remote or hybrid work options are presented as standard, with flexibility to work from home or company offices depending on role and country. Feedback suggests add-ons like language lessons and education reimbursement broaden the package’s usefulness across diverse needs.
  • Wellbeing & Lifestyle Benefits — Sports support, company events, and bonuses for life events contribute to a comprehensive lifestyle offering. Feedback suggests recurring mental-health sessions and sports allowances enhance day-to-day wellbeing beyond standard healthcare.

SOFTSWISS Insights

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The Company
HQ: Il-Gżira
2,200 Employees
Year Founded: 2009

What We Do

Founded in 2009, SOFTSWISS is a strategic technology partner for iGaming operators worldwide. With almost two decades of experience, the company delivers compliance-focused, scalable solutions that provide operators with the reliable foundation to launch, grow, and expand confidently across regulated markets. Headquartered in Malta with offices in Poland and Georgia, SOFTSWISS operates through a global network of 2,200+ iGaming professionals across 30 countries. In 2024, the company strengthened its regional presence through strategic leadership appointments, including motorsport legend Rubens Barrichello as Non-Executive Director for Latin America.

Why Work With Us

WHY SOFTSWISS? You can work remotely with the ability to travel Modern technology stack with highload architecture and high-security standards Fast professional growth with the help of the expertise of a strong international team Benefits and Perks SOFTSWISS VALUES We care - We plan ahead and take responsibility for our actions. We see people - Ou

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