Junior Data Engineer

Description

Job Summary: We are seeking a Junior Data Engineer with a solid technical foundation to build, maintain, and evolve our data architecture, consolidating your career with increasing autonomy and direct business impact. Key Highlights: 1. Working on real-world problems with increasing autonomy 2. Direct business impact and evolution of the data architecture 3. A safe and transparent environment that values respect Contmatic fosters extraordinary delivery with a focus on customers and results. It is built upon valuing respect and teamwork, always applying a growth mindset to everything we do, granting autonomy with responsibility so everyone can develop in a safe and transparent environment. We are looking for a Junior Data Engineer with a solid technical foundation and practical experience in data, to work on building, maintaining, and evolving our data architecture. This is an ideal opportunity for those who want to consolidate their career in data engineering by working on real-world problems, with increasing autonomy and direct business impact. * Develop and maintain end-to-end data pipelines (ingestion, transformation, and delivery) * Maintain and evolve the data architecture * Ensure data quality, reliability, and traceability * Monitor, investigate, and resolve failures in production pipelines * Document data flows, tables, and technical decisions * Collaborate with product and analytics teams to understand data requirements * Propose continuous improvements to the data stack Technical Requirements * Advanced SQL (complex queries and performance optimization) * Python for data manipulation and automation * Experience with data pipelines (ETL/ELT) * Workflow orchestration (Airflow or similar) * Data ingestion (Airbyte or similar) * Data transformation (dbt, DLT, or equivalent) * Experience with analytical databases (BigQuery, ClickHouse, or similar) * Knowledge of data architecture (Data Lake, Data Warehouse, layers) * Familiarity with storage systems (S3, MinIO, or similar) * Version control with Git Nice-to-Haves * Experience with BI tools (e.g., Metabase) * Knowledge of pipeline monitoring * Experience with large-scale data volumes * Strong documentation practices What We Expect From This Person * Evolve the company's data architecture * Ensure data quality and reliability * Deliver stable and scalable pipelines * Support business areas with consistent data