Data Engineer (Database / ETL Practitioner)
Craftware
Craftware is a technology company of over 500 experts, empowering large organizations to solve complex business challenges with modern IT solutions - from sales systems and automation to data platforms and AI. We operate where technology must be reliable, secure, and scalable. We deliver end-to-end projects: from analysis and architecture through implementation to development and maintenance. We are a trusted partner of industry leaders such as Salesforce, Veeva, UiPath, and Databricks.
Model: remote
Employment type: full-time
Role summary
We are looking for an experienced Data Engineer (Database / ETL Practitioner) to lead the design and implementation of complex data engineering solutions for one of our enterprise clients. In this role you will set technical standards, mentor junior team members, and take ownership of critical data infrastructure. You'll bring deep expertise in distributed data systems, cloud data platforms, and advanced ETL/ELT patterns to architect scalable data warehouses and data lakes, troubleshoot intricate performance issues, and drive technical excellence across the team. This is a role with real influence - you'll shape architectural decisions, contribute to data governance, and help define the organization's long-term data strategy.
Responsibilities
Lead the design and construction of large-scale data architectures, overseeing and mentoring junior engineers while setting technical standards across the team
Solve highly complex data engineering problems and troubleshoot intricate performance issues, ensuring critical data infrastructure remains scalable, secure, resilient, and efficient
Liaise with senior leadership to align data strategy with organizational needs, guiding technical teams and influencing architectural decisions
Lead high-impact projects that significantly shape the organization's data infrastructure and contribute to data governance initiatives
Design and implement advanced data processing frameworks, scalable data warehouses, and data lakes for enterprise-level systems
Act as an expert across multiple programming languages and Big Data technologies, applying deep knowledge of distributed systems and ETL/ELT best practices
Requirements
Must-have:
Extensive, proven experience leading the design, implementation, and construction of complex data engineering solutions and large-scale data architectures
Track record of leading high-impact projects that shape enterprise-level data infrastructure, including developing long-term data architecture strategy
Demonstrated contribution to data governance and to ensuring the resilience and security of critical data infrastructure
Expert-level proficiency in multiple programming languages and Big Data technologies
Deep expertise in distributed data systems, cloud data platforms, and advanced ETL/ELT patterns
Proven ability to architect scalable data warehouses and data lakes, and to troubleshoot complex system performance issues
Strong hands-on AWS expertise
Strong database (DB) expertise
Nice-to-have:
Scrum Master experience or certification
Employment conditions:
B2B contract (rate negotiated individually, up to 160 PLN net/h + VAT)
Fully remote service delivery
Broad range of projects (internal, international) - genuine variety of clients and tasks
Budget for skills development and certifications as part of the collaboration
Regular collaboration reviews and discussion of project scope
Additional benefits available as part of the collaboration
Networking and team-building events for project teams