Data Engineer (Mid/Senior)

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! 😊 Department Data Locations Zagreb Remote status Hybrid Zagreb About Q Ltd. We are an award-winning software and design agency. With 350+ full-time experts, we provide services and solutions to cover all phases of the digital product life-cycle. Working in various industries across 20 countries worldwide, we exceed our boundaries each day.