N-iX is a software development service company that helps businesses across the globe develop successful software products. During 21 years on the market and by leveraging the capabilities of Eastern Europe talents the company has grown to 2000+ professionals with a broad portfolio of customers in the area of Fortune 500 companies as well as technological start-ups. N-iX has come a long way and increased its presence in nine countries - Poland, Ukraine, Romania, Bulgaria, Sweden, Malta, the UK, the US, and Colombia.
We are looking for a Senior / Lead Data Engineer who is passionate about building scalable, cloud-native data solutions and eager to grow into a broader architecture role. You will lead the technical delivery of modern data platform solutions while engaging with clients and internal stakeholders to design, implement, and optimize enterprise-grade data systems.
Responsibilities
Lead end-to-end development and implementation of scalable data pipelines, data lakes, and cloud-native data platforms Ensure performance, security, and reliability of data solutions through CI/CD, testing, and automation best practices Mentor and guide a team of engineers; review code, enforce standards, and foster knowledge sharing Participate in solution design with architects and senior stakeholders - contribute to data architecture, system integrations, and technology selection Translate business needs into data models, transformation logic, and orchestration workflows Gradually take on architecture ownership for projects and support pre-sales with technical scoping and effort estimation Work closely with business and technical stakeholders to clarify requirements, demonstrate value, and refine deliverables Participate in pre-sales activities: help shape proposals, provide technical insights, and create solution roadmaps Stay on top of modern data platform trends (e.g., Data Mesh, Lakehouse, real-time analytics, observability) Explore new tools and techniques - contribute to N-iX’s internal Data & Analytics accelerators and reference architecturesRequirements
5+ years of hands-on experience in data engineering Strong SQL, Python, and Spark skills; Strong expertise in AWS, Azure or GCP is a plus and modern data platforms (e.g., Snowflake, Databricks) Knowledge of Airflow, dbt, Kafka, or similar tools preferred Proven experience building data lakes, lakehouses, data warehouses, and streaming pipelines Familiarity with architectural concepts like Data Mesh, Data Fabric, and cloud-native data architectures Experience leading delivery teams or mentoring other engineers Excellent verbal and written communication in English Willingness to travel for business (when needed) and to engage directly with clientsWe offer*:
Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits*not applicable for freelancers