Lead the design and delivery of scalable cloud-native data platforms, build pipelines and lakehouses, mentor engineers, contribute to architecture, support pre-sales, and engage with stakeholders.
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 architectures
Requirements
- 5-7 years of hands-on experience in data engineering
- Strong SQL, Python, and Spark skills
- Strong expertise in Azure and Databricks modern data platforms
- 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 clients
We 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
Top Skills
Airflow
Azure
Ci/Cd
Data Lake
Data Warehouse
Databricks
Dbt
Kafka
Lakehouse
Python
Spark
SQL
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