Data Engineer

Quick Facts

• Role: Data Engineer

Description

Build and operate a reliable, secure data platform that powers reporting, analytics, and decision-making across the business. You will design data pipelines (ETL/ELT), write SQL transformations and data models, optimize performance and costs, and implement quality, monitoring, and alerting. The platform will also be prepared for AI use cases, including semantic layers, unified metrics, quality metadata, and agent-ready data and documentation.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines pulling data from internal and external sources

• Build and maintain the data platform stack (data warehouse, orchestration/integration tools, BI layer)

• Create and optimize SQL transformations, data models, and storage architecture documentation including data lineage

• Improve transformation performance via incremental loading and appropriate resource sizing; identify candidates for deletion

• Ensure pipeline reliability: handle errors/incidents and build validations, tests, and alerting

• Build an AI-ready data foundation for conversational and agentic analytics (semantic layer, unified metrics, metadata)

• Manage data access permissions and protect sensitive data with auditability of data flows

• Develop and maintain BI reports and dashboards connected to the data platform

Requirements

• Relevant experience as a Data Engineer or similar technical data role

• Advanced SQL; ability to optimize queries and pipelines

• Experience operating data pipelines with larger data volumes

• Experience with ETL/ELT orchestration tools (e.g., Keboola)

• Experience with cloud data warehouse (e.g., Snowflake)

• Experience with BI tools (e.g., Metabase, Power BI)

• Data modeling knowledge and understanding of data-warehouse principles

• Ability to integrate via API and work with various data formats

• Proficiency with Git

• Experience with data security and managing access

• Experience enabling data distribution for AI systems, including semantic layer work

• Analytical and critical thinking plus basic statistics

• Ability to explain outcomes to business (non-technical) stakeholders

• Independent, responsible, and improvement-driven mindset

• Czech/Slovak and English communication at least B1

• Technical/economics/analytics degree or equivalent experience

Benefits

• 5 weeks of vacation plus 4 extra days off

• Extra paid compensation/doplatky for sick leave or care of a close person up to 100%

• Multisport contribution, meal allowance, and referral bonus for recommending a new colleague

• Discounted Shoptet plan for your own e-shop

• Budget for education, English courses, and internal learning system (“Product Academy”)

• Computer choice (Mac or Windows) and mobile plan for you and your close ones

• Mental health support: option to use 6 therapy sessions per year

• Offices in Holešovice, bike-friendly amenities, coffee/fruit/vegetables and healthy snacks

• Community events and team activities (team dinners, birthdays, company beers, team building)