Tech Lead (Data Engineer)

Position: Data Engineer Tech Lead

At neXa, we’re not just building digital solutions — we’re helping businesses grow smarter. We work with forward-thinking clients across industries to design, build, and implement technology that makes a real difference. From intelligent automation to custom applications, our projects are as diverse as our team.

For one of our clients we are looking for a Data Engineer Tech Lead to join a high-energy team focused on building and evolving scalable data platforms and modern cloud-based solutions. In this role, you will combine hands-on engineering expertise with technical leadership, taking ownership of data architecture, engineering standards, and platform development. You will work closely with cross-functional teams to design reliable data solutions, enable AI-driven initiatives, and support the continuous improvement of data capabilities.

The role is based in Poland (Warsaw) – remote work with occasional visits once a quarter

B2B contract

Scroll down to see the full job description, including responsibilities and requirements:

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
• Contribute to AI-driven initiatives by preparing, integrating, and enabling access to data resources
• Troubleshoot and resolve issues across data pipelines, processing systems, and storage layers
• Act as the technical owner of core data platform components and drive their evolution
• Define and communicate architectural decisions, technical standards, and engineering patterns
• Review designs and code to ensure scalability, maintainability, and alignment with best practices
• Provide technical guidance and mentorship to Data Engineers, supporting their growth and development
• Collaborate with product and business stakeholders to translate requirements into effective technical solutions
• Support technical planning, estimation, and delivery coordination across data engineering initiatives

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 (batch and/or streaming)
• 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
• Strong ownership mindset and ability to drive initiatives from concept to production
• Experience working in Agile environments
• Good command of English (B2+ level or higher)

Nice to have:
• Experience with data orchestration tools such as Airflow, Step Functions, or Prefect
• Knowledge of big data technologies such as Spark or Hadoop
• Experience with data governance, security, and compliance practices
• Experience working with content-centric data, metadata, publishing workflows, or content management systems Experience building shared data platforms used by multiple teams or domains
• Knowledge of cloud cost optimization strategies
• Experience in an Engineering Manager or people leadership role
• Familiarity with Generative AI technologies and AI-driven data solutions