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6 mo agofound 3 h ago
Senior Data Engineer
What the posting is about
Design and maintain scalable data pipelines. Collaborate with data teams. Ensure data quality and reliability. Optimize data processing workflows. Implement data governance and security best practices.
Read out of the posting
Levelsenior
Experience asked5+ years
EmploymentFull time
LocationBratislava, Cz & Sk, Brno-Brno-střed, Ostrava 21, Praha 8-Palmovka, Valencia, ES
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-03-23
Found viateamtailor, direct from their system
We saw it 7 months after it went up.
The posting, as the company wrote it
Avenga is an international engineering firm helping businesses operate with AI at the core. With 6,000+ experts worldwide, we combine engineering expertise with AI-native thinking to turn ambitious ideas into real-world impact across industries, technologies, and markets.
At the core of the role
We are looking for an experienced Senior Data Engineer to join our data team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and architectures that support business intelligence, analytics, and data-driven decision-making.
Core skills you’ll bring
Proven experience as a Data Engineer, with significant experience in a senior role
Strong proficiency in Python, SQL, and data processing frameworks (e.g., Spark)
Hands-on experience with cloud platforms (AWS, Azure, or GCP)
Experience with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake)
Solid understanding of data modeling and database design
Experience building and maintaining large-scale data pipelines
Familiarity with orchestration tools (e.g., Airflow)
Strong problem-solving skills and attention to detail
The impact you'll create
Design, develop, and maintain robust and scalable data pipelines (ETL/ELT)
Build and optimize data architectures and data models
Ensure high data quality, integrity, and reliability across systems
Collaborate with data analysts, data scientists, and other stakeholders
Optimize data processing workflows for performance and scalability
Implement and enforce data governance and security best practices
Troubleshoot and resolve data-related issues
Contribute to the continuous improvement of data engineering standards and processes
People are at the core of Avenga. We provide equal opportunities regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to a respectful environment where everyone can be themselves, share their ideas, and feel that they belong.
Copied from Avenga’s own board, not rewritten. Original ↗
Also open at Avenga
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