Platform Engineer
Data Engineer - Automation & Innovation Department
Warsawfulltime
Apply on the employer's siteRole description
Location: Warszawa, ul. Marynarska 12
Type of contract: Employment contract
Type of cooperation: Hybrid ( 2-3 days a week in the office)
Recruitment online!
You will join a diverse, international team of data professionals working across multiple countries. In this role, you will collaborate with both local experts and international colleagues to build a unified, high-performance data infrastructure. We are looking for a Data Engineer who enjoys solving complex integration challenges and wants to have a real impact on how our organization uses data globally.
What tasks await you?
- Build and maintain data ingestion processes from various sources into the Data Lake.
- Design, develop, and optimize complex data pipelines for reliable data flow.
- Build, develop, and maintain frameworks that facilitate the construction of data pipelines.
- Implement end-to-end testing frameworks for data pipelines.
- Collaborate with data analysts and scientists to ensure the delivery of quality data.
- Ensure robust data governance, security, and compliance practices.
- Explore and implement emerging technologies to improve data pipeline performance.
- Utilize and integrate data from various source system types, including Kafka, MQ, SFTP, databases, APIs, and file shares
What skills will be appreciated?
- Minimum 3 years of experience in a Data Engineering role.
- Practical experience with
Cloud
(preferably GCP)
services, including
BigQuery, Dataflow, Google Cloud Storage (GCS), Data Catalog
, and
dbt
.
- Advanced SQL proficiency
, including writing complex queries, query optimization,
Common Table Expressions (CTEs)
,
window functions
, and related advanced SQL techniques. - Python
coding skills (experience with Pandas and NumPy is a plus) - Experience working with
Apache Airflow
for pipeline orchestration, workflow automation, monitoring, data quality validation, alerting, and troubleshooting. - Experience with
Apache Spark
,
Hadoop
, and
Hive
for large-scale data processing. - Experience designing, developing, testing, maintaining, and optimizing
ETL/ELT
pipelines for
batch
and
streaming
data processing, including
Apache Kafka
,
API-based data ingestion. - Experience designing and implementing
data integration solutions
,
data warehouse architectures
,
data models
, and
data layers
to support analytics and reporting. - Experience implementing and maintaining
CI/CD pipelines
and using
GitLab
for version control and technical documentation. - Experience working in
Agile/Scrum
environments. - Good command of
English
.
Nice to have:
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field.
- Basic understanding of
Machine Learning
and
MLOps
principles - Strong understanding of data governance principles, including metadata management and data quality frameworks.
- Experience in
international or multi-country data projects
is preferred. - Strong communication skills to translate technical findings into business-oriented insights.
- Self-starter with a
continuous learning mindset
and strong attention to detail.
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