Опис вакансії
As a Middle Data Engineer, you’ll own the pipelines, integrations, and data models within your assigned business domain — making sure the data our teams rely on is accurate, fresh, and well documented. You will work closely with the Analytics team (Data Analyst and Unit Manager) and cross-functional stakeholders, and report to the Unit Manager.
Про компанію
At EPC Network, we’re not just a digital marketing company, we’re a platform for career transformation and personal growth. Our people-first approach shapes our corporate culture, fostering a team of passionate, smart, and energetic individuals who strive to grow professionally in an international, fast-paced environment.
Вимоги
- 2–3+ years as a Data Engineer, Analytics Engineer, BI Engineer, or in a similar role
- Solid SQL: window functions, joins, deduplication, experience with large datasets
- Hands-on experience with a cloud data warehouse (BigQuery is a strong plus)
- Experience building or maintaining ETL/ELT pipelines — working within an existing architecture also counts
- Working proficiency in Python for data processing, simple API integrations, logging, and error handling
- Basic experience with dbt (or a similar SQL transformation framework), or readiness to ramp up quickly
- User-level familiarity with an orchestration tool (Airflow / Prefect / Dagster) — you don’t need to architect one
- Understanding of pipeline monitoring, data quality checks, and basic secure data access principles (service accounts, secrets)
- Clean, maintainable code and the habit of documenting your work
- Ability to independently drive assigned tasks and escalate architectural questions when needed
- English B2 or higher
Обов'язки
- Develop and maintain ETL/ELT pipelines within your domain, following the team’s established patterns and standards
- Work with data from APIs, third-party platforms, and internal sources
- maintain existing API integrations (pagination, authentication, retries, rate limits)
- Write idempotent pipelines that are safe for reruns and backfills, and adapt them to changes in source data schemas
- Implement and maintain data quality checks — freshness, completeness, uniqueness, nulls, accepted values
- Detect and resolve issues (duplicates, gaps, delays) in your area, investigate root causes, and escalate complex or cross-domain cases to Senior/Lead
- Build and maintain fact tables, dimension tables, and analytical marts, applying agreed naming conventions, table structures, and documentation standards
- Clarify dataset requirements with other teams and document your work — datasets, transformation logic, known limitations
Ми пропонуємо
- Multinational and intercultural experience
- Corporate library
- Growth opportunities, cutting-edge frameworks and technologies
- Plenty of engaging team-building and social events
- Bonuses according to the policy
- paid vacation days & 14 paid sick leaves
- Cozy office in Warsaw, Kyiv available for you whenever you need it
- Coffee, tea, Red Bull, sweets, fruits, and more snacks
Буде плюсом
- Experience with marketing platforms, CRM, tracking, or attribution systems
- Familiarity with BI tools (Looker Studio, Tableau, Power BI)
- Experience with high-volume event-level data
- Experience with Git
- Familiarity with GCP services such as Cloud Composer and Cloud Storage
