Senior Data Engineer - AI-Driven Data Pipelines (Hybrid Warsaw)
Talan Group
Warszawa
Hybrid
PLN 180,000 - 260,000
Full time
14 days+
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Benefits offered by this job
Private medical insurance
Life insurance
Smart Office Pack
Training and career development
Multicultural team experience
International project opportunities
Job summary
A global consulting firm based in Warsaw is seeking an experienced data engineer to design and maintain data pipelines. The candidate will be responsible for integrating data from various sources, ensuring data quality, and optimizing processing for efficiency. Qualifications include strong Python and SQL skills, familiarity with ETL frameworks, and experience with cloud services, particularly Google Cloud. This position offers a full-time contract, hybrid work option, and various benefits including private medical insurance and training opportunities.
Qualifications
Strong experience with Python focused on data processing and pipeline development.
Advanced SQL skills and solid understanding of data modeling concepts.
Experience with ETL/ELT frameworks and orchestration tools.
Hands-on experience with distributed data framework such as Apache Spark.
Cloud platform experience, particularly Google Cloud services.
Fluency in both English and Polish is a must.
Responsibilities
Design, build, and maintain scalable and reliable data pipelines.
Ingest and integrate data from multiple sources.
Develop efficient ETL/ELT processes and data workflows.
Ensure data quality and integrity across the data lifecycle.
Optimize data storage and processing for performance and cost efficiency.
Build and maintain data pipelines for AI and Machine Learning.
Skills
Python for data processing
SQL
ETL/ELT frameworks
Workflow orchestration tools
Distributed data processing
Google Cloud services
BI tools
Communication skills
Fluent English
Fluent Polish
Tools
Airflow
Apache Spark
BigQuery
Dataflow
Cloud Composer
LangChain
Power BI
Tableau
Qlik
Job description
A global consulting firm based in Warsaw is seeking an experienced data engineer to design and maintain data pipelines. The candidate will be responsible for integrating data from various sources, ensuring data quality, and optimizing processing for efficiency. Qualifications include strong Python and SQL skills, familiarity with ETL frameworks, and experience with cloud services, particularly Google Cloud. This position offers a full-time contract, hybrid work option, and various benefits including private medical insurance and training opportunities.