Tech Lead (Data Engineer)
New
N
neXaData Engineering
Poland (Warsaw) – remote work with occasional visits once a quarterContractManager
Salary not disclosed
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Job Details
- Languages
- English (C1/B2+), Polish (C1/B2+)
- Required Skills
- AWSPythonSQLETLNosqlCI/CD
Requirements
- Proven experience as a Data Engineer with strong hands-on engineering background
- Experience designing and implementing data architectures and end-to-end technical solutions
- Strong programming skills in Python or another modern programming language
- Advanced knowledge of AWS cloud services, including S3, Glue, Lambda, DynamoDB, and Athena
- Solid understanding of SQL and NoSQL databases, including schema design, optimization, and query performance
- Hands-on experience building and maintaining data processing pipelines
- Strong knowledge of ETL/ELT processes, data modeling, and storage formats
- Understanding of software engineering best practices, including version control, CI/CD, and automated testing
- Experience with architectural decision-making and communicating technical trade-offs
- Experience leading, mentoring, or guiding engineers in a hands-on technical role
- Good command of English and Polish (B2+ level or higher)
Responsibilities
- Design, develop, and maintain scalable data pipelines supporting reliable and efficient data processing
- Build and improve data storage and processing solutions, ensuring availability, consistency, and security
- Work hands-on with cloud-based data infrastructure and optimize solutions for performance and cost efficiency
- Develop and maintain ETL/ELT workflows and data models supporting various business needs
- Collaborate with Data Scientists, Analysts, Software Engineers, and other technical stakeholders to enable data-driven solutions
- Implement and promote best practices in software development, including testing, monitoring, deployment, and code quality
- Act as the technical owner of core data platform components and drive their evolution
- Define and communicate architectural decisions, technical standards, and engineering patterns
- Provide technical guidance and mentorship to Data Engineers, supporting their growth and development
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