# Middle DWH Engineer

> Gypsy Collective · Ukraine (Remote) · Full-time · Posted 2026-06-02

**Workplace:** remote

**Department:** Analytics

## Description

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 Have**

-   experience 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.

## Apply

[Apply at Gypsy Collective](https://apply.workable.com/gypsy/j/E190E7F12F/apply)

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