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