We are looking for a Middle DWH Engineer to design, build, and maintain scalable data warehouse solutions that support analytics and business decision-making. You will work across the full data lifecycle - from data ingestion and transformation to orchestration and optimization - while collaborating with analysts, engineers, and business stakeholders.📅 Your adventures include:design, develop, and maintain DWH and Data Lake solutions aligned with business requirements;build, optimize, and support ETL/ELT pipelines using Python, SQL, Airflow, and related technologies;integrate and maintain data flows from APIs, databases, SaaS platforms, and third-party systems;work with PostgreSQL, Trino, and cloud-based analytical platforms to support reporting and analytics needs;implement and support incremental loading, CDC processes, backfills, and reprocessing workflows;monitor, troubleshoot, and improve data pipelines to ensure reliability, stability, and timely delivery of data;implement data quality checks, validation rules, and automated monitoring processes;optimize SQL queries, data models, and pipeline performance;collaborate with analysts, BI developers, engineers, and business stakeholders to deliver scalable data solutions;participate in code reviews and contribute to engineering standards and best practices.Requirements🧭 What makes you a great match: strong SQL skills, including complex queries, CTEs, window functions, analytical queries, and query optimization (3+ years);strong experience integrating external data sources, including REST APIs, databases, SaaS platforms, and third-party systems; ability to design, develop, troubleshoot, and maintain reliable data ingestion processes in production environments (3+ years);experience with Apache Airflow or similar workflow orchestration tools (3+ years);experience with Python for data processing, integrations, and automation (2+ years);good understanding of DWH concepts, including ETL/ELT, dimensional modeling, Data Vault, and Star/Snowflake schemas (3+ years);experience building and supporting production data pipelines with a focus on reliability, stability, monitoring, and error handling;understanding of data quality principles, including validation, testing, reconciliation, and monitoring;hands-on experience with PostgreSQL and Trino in production environments;experience with modern analytical databases or cloud data warehouses (such as BigQuery, Snowflake, Redshift, ClickHouse, Vertica, Athena, or similar platforms.);experience with Git and collaborative development workflows (pull requests, code reviews, rebasing, merge conflict resolution).⭐ Nice to Haveexperience with Change Data Capture (CDC) tools and incremental loading strategies;experience with cloud platforms such as AWS, GCP, or Azure;familiarity with Docker and containerized environments;experience with streaming or near real-time data pipelines (Kafka);familiarity with dbt or similar data transformation frameworks;experience with data cataloging, lineage, or governance tools.Benefits💸 Flexible payment options: choose the method that works best for you.🧾 Tax assistance included: we handle part of your taxes and provide guidance on the local setup.🎁 Financial perks: Bonuses for holidays, B-day, work milestones and more - just to show we care.📈 Learn & grow: We cover courses and certifications — and offer real opportunities to grow your career with us.🥐 Benefit Сafeteria: Choose what suits you — sports, language courses, therapy sessions, and more.🎉 Stay connected: From team-building events to industry conferences — we bring people together online, offline, and on stage.💻 Modern Equipment: We provide new laptops along with essential peripherals like monitors and headphones for a comfortable workflow.🕘 Your schedule, your rules: Start your day at 9, 10, or even 11 — we care about results, not clock-ins.
