Senior Data Engineer
New
Remote-first, work from anywhere in the world (full workation)Full-TimeSenior
Salary23,520 - 30,240 PLN per hour
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Job Details
- Languages
- En B2
- Experience
- 4+ years of hands-on experience as a Data Engineer or in a closely related engineering role. 2+ years experience working with cloud platforms
- Required Skills
- AWSPostgreSQLPythonSQLApache AirflowETLGCPMicrosoft AzureMicrosoft SQL ServerSparkCI/CDTerraformDatabricksGitHub ActionsAzure DevOpsMLOps
Requirements
- 4+ years of hands-on experience as a Data Engineer or in a closely related engineering role.
- 2+ years experience working with cloud platforms - we operate primarily in Azure, but AWS/GCP experience is equally valuable.
- Strong Python skills - ability to write maintainable, production-ready code in distributed data environments.
- Advanced SQL proficiency and experience with relational databases (SQL Server, PostgreSQL, etc.).
- Expertise in DWH data modeling, ETL/ELT architectures, and modern data design patterns (Lakehouse preferred).
- Solid understanding of cloud architecture, networking fundamentals, security, APIs, and scalable systems.
- Experience working with large-scale, high-volume datasets.
- Strong ownership mindset, creativity, and openness to innovation.
- Ability to operate autonomously and drive initiatives in dynamic, evolving cloud projects.
Responsibilities
- Designing and implementing scalable, production-grade data pipelines, data models, and data processing frameworks in cloud environments.
- Leading the technical design of cloud data architectures, contributing to standards, guidelines, and long-term platform strategy.
- Driving best practices in data engineering: quality assurance, lineage, observability, testing, automation, documentation.
- Optimizing data workflows for performance, cost efficiency, and reliability across distributed systems.
- Collaborating closely with clients and senior stakeholders to understand requirements, propose solutions, and communicate technical decisions.
- Working with CI/CD pipelines, infrastructure-as-code, and automation (DataOps) to streamline deployments and operations.
- Integrating data solutions with BI, ML, and application layers across diverse client environments.
- Mentoring mid-level engineers, supporting them in technical growth (without formal line management).
- Staying up-to-date with emerging technologies and proposing innovations to enhance platform capabilities.
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