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Open nowPosted 29 hours ago

Data Engineer - Senior

SOFTSWISS46 open roles

Where
Warszawa, Poland; Beograd, Serbia; Poznań, Poland; T'bilisi, Georgia; Vilnius, Lithuania
Work mode
Remote
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Your applicationOpen nowData Engineer - SeniorSOFTSWISS · Warszawa, Poland; Beograd, Serbia; Poznań, Poland; T'bilisi, Georgia; Vilnius, Lithuania

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on SOFTSWISS's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.1% of postings close within 7 days. Measured by our own scanner across the market. SOFTSWISS postings stay open a median of 16 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.1%7 days
  4. 21.2%14 days
  5. 35.9%30 days
  6. 58.9%60 days
This job: posted 29 hours ago

SOFTSWISS median: 16 days open

The posting

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
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    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on SOFTSWISS's form

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