Middle Data Engineer | Warsaw (Office)

EPC Network; Warszawa; On-site; PLN 150,000 - 230,000; Full time

Benefits offered by this job

Cozy office in Warsaw

Job summary

EPC Network is seeking a Middle Data Engineer to own data pipelines, integrate data from APIs and internal sources, and maintain high-quality data models within an international, fast-paced environment.

You will collaborate with Analytics and cross-functional teams, ensuring fresh, well-documented data for analytics and decision-making in Warsaw offices. Strong SQL, Python, and cloud data warehouse experience are essential to succeed.

Qualifications

• 2–3+ years as a Data Engineer or similar role.
• Solid SQL: window functions, joins, deduplication with large datasets.
• Hands-on experience with a cloud data warehouse (BigQuery is a strong plus).
• Experience building ETL/ELT pipelines within an existing architecture.
• Proficiency in Python for data processing, API integrations, logging, and error handling.
• Familiarity with dbt or equivalent SQL transformation tools.
• Experience with orchestration tools (Airflow / Prefect / Dagster).
• Understanding of pipeline monitoring and data quality checks; secure data access.

Responsibilities

• Develop and maintain ETL/ELT pipelines within your domain following team standards.
• Work with data from APIs, third-party platforms, and internal sources; maintain API integrations.
• Write idempotent pipelines, adapt to schema changes, and backfill when needed.
• Implement data quality checks for freshness, completeness, and accuracy.
• Identify and resolve data issues; escalate complex cases to Senior/Lead when needed.
• Build and maintain fact and dimension tables and analytical marts with documentation.

Skills

SQL

Python

dbt

BigQuery

Tools

Airflow

Prefect

Dagster

Git

Cloud Composer

Cloud Storage

Job description

Location: Warsaw, Poland
Format: On-site
Seniority level: Middle

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.
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.

Key Responsibilities:

• 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 escalat 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

Requirements:

• 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 escalat architectural questions when needed

Nice to have:

• 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

What it means to be part of our Team:

• Multinational and intercultural experience
• Growth opportunities, cutting-edge frameworks and technologies
• Plenty of engaging team-building and social events
• Bonuses according to the policy
• Cozy office in Warsaw, Kyiv available for you whenever you need it
• Coffee, tea, Red Bull, sweets, fruits, and more snacks

Interested?
We're always on the lookout for passionate, driven, and curious people to join our team. If that sounds like you — we'd love to hear from you!