About this role
PLACE OF WORK 4024 Debrecen, Barna utca 23 AREA OF EMPLOYMENT IT START OF WORK as soon as possible EMPLOYMENT TYPE Full-time megállapodás szerint .profile_item { list-style-type: none !important; } .profile_heading { font-weight: bold; } .profile_content { padding-bottom: 0.5rem; } .profile_section:has(.profile_item:empty) { display: none; } My responsibilities: The BI Developer (Backend) at ALDI designs, builds, and maintains robust, scalable data pipelines and backend analytics components that transform raw data into trusted, well-modelled, and high-quality datasets. Enables downstream reporting, dashboards, and analytical use cases by partnering with product teams, data owners, and stakeholders to ensure accurate, performant, and well-documented data products. Key responsibilities: Build and maintain data pipelines (batch/near-real-time) to support reporting and analytics Develop and optimise ETL (Extract Transform Load) jobs and data transformations Model data for analytics (e.g., dimensional/relational models) and support consistent metrics definitions Develop and maintain reporting assets (dashboards, scheduled reports, KPI definitions) Write production-quality SQL and implement performance improvements (query tuning, indexing/partitioning strategies where applicable) Ensure data quality through validation checks, anomaly detection (as applicable), and reconciliations Provide monitoring, alerting, and troubleshooting for pipeline/report failures Document datasets, transformations, metric logic, data lineage, and known limitations Support governance needs: permissions, dataset certification workflows (if applicable), and auditability The knowledge I own: Strong SQL (joins/aggregations/window functions, data integrity and performance awareness) Experience building data pipelines using ETL patterns (or equivalent orchestration) Proficiency with Python or R Familiarity with cloud based data solutions (Databricks, Snowflake, etc.) Hands-on experience with CI/CD concepts and automated deployment workflows Understanding of data quality principles and how to implement validation (row counts, referential integrity, range checks, reconciliation) Production engineering mindset: monitoring, incident response, and maintainable code/process Analytical and structured approach to work Passion for delivering high-quality user experiences Ability to work independently while being a strong team player Fluent in English (written and spoken) Understanding of Agile practices and iterative development processes is a plus Basic statistical thinking for validating results (e.g., distribution checks, sanity checks, trend validation) is advantageous The offer that would convince me: Possibility to improve yourself in a constantly growing organization An above-average salary Intensive individual and practical training varied and interesting tasks Pleasant working environments A secure, long-term employment opportunity Online application: Please use our online application and attach your English resume. AIIS Adatkezelési tájékoztató Privacy notice