Data Engineer in Poland

Andersen; Województwo mazowieckie; Hybrid; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Remote/hybrid work

Private health insurance

Training portal access

Certification compensation

Referral program

Bonuses up to 1k USD/month

Job summary

Andersen is hiring a Data Engineer in Poland to build large-scale analytics solutions and data platforms that transform audience and media data into actionable insights.

The role focuses on data-driven audience measurement and advertising analytics, leveraging cloud environments (AWS, Airflow, Python) and modern data platforms to support partners and customers globally. Hybrid work is available.

Qualifications

• 3+ years of Data Engineer experience in production
• Hands-on experience on AWS or Databricks in production
• Strong SQL for complex analytical queries
• Python in production environments
• Airflow DAG authoring and orchestration
• Experience with distributed processing and streaming/event-driven systems
• Bachelor’s degree in a related technical field
• Proficient English (Upper-Intermediate+)

Responsibilities

• Serve as the primary DE contact for report questions and data issues.
• Write and validate SQL queries to verify reports and diagnose data issues.
• Document data issues and coordinate with DE team for fixes.
• Support ad hoc data pulls and validation requests for reporting products.
• Configure cloud environments for partner data delivery (S3, IAM, SFTP).
• Develop and maintain Airflow DAGs for ingestion workflows and alerts.
• Coordinate with external partners on data formats and delivery schedules.
• Run identity resolution match tests across ingestion pipelines.
• Identify and flag data quality issues in partner files before production.

Skills

SQL (BigQuery / PostgreSQL)

Python

Airflow

Distributed processing

API-first services

English (Upper-Intermediate)

Education

Bachelor's degree in Computer Science or related

Tools

AWS

Databricks

GCP

Job description

Andersen is hiring a Data Engineer in Poland for a project developing large-scale analytics solutions and data platforms that transform audience and media data into actionable insights.

The company is a global technology provider delivering data analytics and AI-powered solutions that help organizations better understand customer behavior, optimize marketing performance, and make informed business decisions. By transforming large volumes of data into actionable insights, it enables enterprises to improve audience engagement, measure the effectiveness of their initiatives, and enhance decision-making. The company works with a diverse range of customers, supporting them in navigating an increasingly data-driven and rapidly evolving digital landscape.

The project is focused on developing data-driven audience measurement and advertising analytics solutions powered by connected-device and media consumption data. It leverages machine learning and large-scale data processing to help media companies, advertisers, and content providers better understand viewer behavior and engagement across digital channels.

Responsibilities:

• Serving as the primary DE point of contact for report-related questions, including data availability, metric discrepancies, and pipeline behavior.
• Writing and executing SQL queries (BigQuery, PostgreSQL) to validate report outputs, isolate data anomalies, and confirm fixes.
• Reproducing and documenting data issues, coordinating with the core DE team for resolution.
• Supporting ad hoc data pulls and validation requests tied to reporting products.
• Setting up and configuring cloud environments required for partner data delivery, including AWS S3 buckets, IAM policies, and SFTP endpoints.
• Writing and maintaining Airflow DAGs (Python) to orchestrate ingestion workflows, including scheduling, alerting, and dependency management.
• Coordinating with external partners on file format specifications, delivery schedules, and test dataset requests.
• Executing match tests to validate identity resolution across ingestion pipelines.
• Identifying and flag data quality issues in partner files before they propagate to production pipelines.

Must-haves:

• Experience as a Data Engineer for 3+ years.
• Hands-on production experience on AWS, or Databricks.
• Strong SQL (BigQuery and/or PostgreSQL) - complex analytical queries in production.
• Python at production quality.
• Apache Airflow DAG authoring.
• Distributed processing in production; workflow orchestration.
• API-first services; working experience with streaming or event-driven system.
• Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent.
• Level of English – from Upper-Intermediate and above.

Nice to have:

• Background in ad tech, audience measurement, CTV/OTT, ACR, or programmatic data flows.
• Hands-on production experience on GCP.

Reasons why this job would be interesting to you:

• Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..
• The opportunity to change the project and/or develop expertise in an interesting business domain.
• Job conditions - you can work both fully remotely and from the office or can choose a hybrid variant.
• Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.
• The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities.
• Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.
• Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).
• Certification compensation (AWS, PMP, etc).
• Referral program.
• Private health insurance and compensation for sports activities.

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