Data Engineer (Mid/Senior)

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! 😊