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
Similar Jobs
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Responsible for leading the delivery of large-scale transformation programs, coordinating workstreams, managing stakeholders, and ensuring execution in a global environment.
Top Skills:
Governance FrameworksMigration ProjectsProject ManagementStakeholder Management
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
As a Business Analyst at Capco Poland, you will support strategic initiatives in marketing for a financial institution, collaborating with stakeholders to analyze and document business requirements and facilitate projects.
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
The ICT Program Director will lead innovative projects at Ericsson, leveraging skills to solve complex problems in a collaborative environment.
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
