DWH Engineer

Gypsy Collective; Polska; On-site; PLN 120,000 - 190,000; Full time

Benefits offered by this job

Flexible schedule

Learning & growth

Certification support

Tech equipment

Team events

Cafeteria benefits

Job summary

Gypsy Collective is seeking a DWH Engineer to design, build, and maintain scalable data warehouse solutions for analytics and decision-making. You will manage data lifecycle from ingestion to orchestration, collaborating with analysts, engineers, and business stakeholders.

You will develop ETL/ELT pipelines using Python, SQL, Airflow, and related technologies; integrate data from APIs, databases, and SaaS platforms; and work with Trino and cloud analytics platforms to drive reliable, timely data

Qualifications

• Strong SQL skills with complex queries, CTES, window functions and optimization.
• Experience integrating external data sources including REST APIs, databases, SaaS platforms, and third-party systems.
• Experience with Apache Airflow (2+ years) and data pipelines.
• Proficiency in Python for data processing, integrations, and automation.

Responsibilities

• Design, build, and maintain scalable DWH and Data Lake solutions aligned with business needs.
• Develop, optimize, and support ETL/ELT pipelines using Python, SQL, Airflow and related tech.
• Ingest data from APIs, databases, SaaS platforms, and third-party systems.
• Work with Trino and cloud analytics platforms to support reporting and analytics.
• Implement incremental loading, CDC, backfills, and reprocessing workflows.
• Monitor, troubleshoot, and improve data pipelines for reliability and timeliness.
• Implement data quality checks, validation rules, and automated monitoring.
• Optimize queries, data models, and pipeline performance.
• Collaborate with analysts, BI developers, engineers, and stakeholders.

Skills

SQL

ETL/ELT

Airflow

Python

Data Warehousing

Data Modeling

Git

Performance Tuning

Tools

Trino

Cloud platforms

REST APIs

Data Vault

Job description

We're Gypsy Collective. The digital world is evolving faster than ever. New opportunities, new challenges, new ambitious goals. That's why strong businesses need strong people. Gypsy Collective is an exclusive talent partner for selected brands. We help our partners attract exceptional talent by building long-term relationships and becoming deeply integrated into their business, culture, and growth ambitions. We are looking for a 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:

• 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 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

What makes you a great match:

• Strong SQL skills, including complex queries, CTEs, window functions, analytical queries, and query optimization (2+ years)
• Strong experience integrating external data sources, including REST APIs, databases, SaaS platforms, and third-party systems
• Experience with Apache Airflow (2+ 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 (2+ 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
• Experience with Git

Benefits:

• Flexible payment options: choose the method that works best for you
• 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.