Data Engineer (Mid / Senior)

BiH, Croatia, Serbia

Are you a proactive, team-oriented, and motivated Data Engineer (Mid or Senior) looking for your next challenge? If you enjoy building robust, high-throughput data platforms, optimizing complex pipelines under heavy load, and working with cutting-edge technologies—including GenAI and modern lakehouse architectures—we'd love to have you on board!

 


Your role

You will build and operate our client's data platform end-to-end, covering data ingestion, warehousing, lakehouse architecture, and platform operations.


Your primary focus will be designing and operating high-volume ingestion into ClickHouse from Kafka, BigQuery, Elasticsearch, cold storage, and third-party APIs. Beyond ingestion, you'll contribute to data modeling, pipeline development, data quality, observability, and platform reliability across the entire data stack.


As a Mid-level Data Engineer, you'll independently deliver well-defined pipelines with light guidance.


As a Senior Data Engineer, you'll own platform subsystems end-to-end, define engineering best practices, mentor teammates, and drive architectural decisions.


 


Tech stack

Core technologies:



  • ClickHouse

  • Kafka

  • BigQuery

  • Python


Storage & Infrastructure:



  • Amazon S3 / Google Cloud Storage (GCS)

  • Kubernetes (EKS)


Data formats & Lakehouse:



  • Parquet

  • Apache Iceberg


Nice to have:



  • TypeScript / Node.js

  • dbt

  • Change Data Capture (CDC) tooling

  • Modern lakehouse architectures

  • Production ML/LLM pipelines

  • Vector databases, embedding infrastructure, or RAG

  • Experience shipping GenAI-powered features

  • Experience in media, ad-tech, or subscription-based businesses


 


What we expect

Building data platforms



  • Experience designing, building, and operating production data pipelines at scale—not just using existing platforms.

  • Experience ingesting data from analytical databases, search systems, cloud storage, and third-party APIs.

  • Strong Python skills for developing production-grade data pipelines.


ClickHouse & Kafka



  • Strong understanding of ClickHouse storage engines, primary and sorting key design, materialized views, and performance optimization.

  • Experience designing idempotent ingestion pipelines, handling deduplication, and troubleshooting production workloads.

  • Solid understanding of Kafka delivery semantics, schema registries, and backpressure management.


Engineering excellence



  • Experience integrating third-party APIs, including authentication, pagination, rate limiting, retries, error handling, and incremental data loading.

  • Experience building reliable, observable, and maintainable data systems with a focus on monitoring, reliability, and operational excellence.


Ways of working



  • Comfortable using AI-assisted development tools (e.g. Claude Code, Cursor, GitHub Copilot) as part of your daily engineering workflow.

  • Strong communication skills and the ability to work independently while collaborating effectively within a team.


 


What we offer


  • Choose the way you work: remote, hybrid, or on-site (Croatia, Serbia, or Bosnia and Herzegovina)

  • Flexible working hours

  • Opportunity to work with modern technologies in a high-performance environment

  • Diverse international projects

  • Active IT community involvement through meetups, workshops, and technical articles

  • Internal workshops and continuous professional development

  • 100% paid sick leave

  • Private health insurance

  • Multisport/PassSport card subsidy

  • Transportation allowance

  • Meal allowance



Salary range


Our compensation is based on your experience, technical expertise, and interview performance.


Mid-level Data Engineer: up to 3600€ gross 1

Senior-level Data Engineer: up to 5000€ gross 1


Sounds like your next challenge? Click the button below and apply now! 😊

 

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