About the Role
As a Lead Data Engineer, you will be the primary technical authority driving data engineering for high-profile client engagements in a hands-on leadership role. Your focus will be on architecting, building, and deploying production-grade data platforms that deliver high-impact solutions while mentoring the next generation of talent.
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You’ll lead by example, balancing rapid delivery with long-term engineering rigor, making pragmatic architectural decisions, and serving as a trusted technical advisor to client stakeholders.
What You’ll Do
Drive End-to-End Delivery
- Architect, build, and deploy production-grade data pipelines, lakehouses, and analytics-ready datasets.
- Translate complex business problems into clear technical designs, delivery roadmaps, and actionable engineering tasks.
- Stay hands-on: resolve tough technical challenges, perform code reviews, and tackle production issues.
Raise the Engineering Bar
- Establish and champion best-in-class standards for code quality, testing, CI/CD, documentation, and data governance.
- Build resilient, monitored, and secure data pipelines designed for scale and enterprise compliance.
- Drive operational excellence across version control, automated testing, runbooks, and platform monitoring.
Inspire & Influence
- Coach and mentor mid and senior level engineers, fostering a high-performance culture based on technical discipline and continuous growth.
- Collaborate with client architects, data scientists, and business leaders to translate complex technical choices into clear business value.
As an AI consultancy, our greatest asset is the expertise of our people. While technical mastery is the foundation of what we do, bridging the gap between complex data science and actionable business value defines success. We seek individuals who excel in their fields and are compelling communicators, capable of building trust with clients by articulating the "why" behind their technical decisions.
What We’re Looking For
- Advanced proficiency in Python and SQL with a proven track record in delivering end-to-end ETL/ELT pipelines and scalable data architectures.
- Hands-on expertise with at least one major cloud provider (AWS, Azure, GCP) and deep proficiency in platforms such as Databricks, Snowflake, Microsoft Fabric, Synapse, BigQuery, or Redshift.
- Solid understanding of data lakes, lakehouses, warehouses, streaming vs. batch processing, orchestration, and production monitoring.
- Knowledge of data privacy, access control, encryption, schema management, and enterprise data quality frameworks.
- Excellent communication skills with the ability to guide stakeholders and balance delivery pace with technical quality.
- Strong understanding of how robust data engineering boosts advanced analytics, machine learning, and Generative AI applications.
Why Join the company?
- Lead critical, high-visibility engineering initiatives across top-tier client environments.
- Work with cutting-edge cloud and AI technologies in a collaborative, fast-evolving consultancy environment.
- Join a team that values technical mastery, pragmatic leadership, and continuous innovation.
Benefits
- Competitive salary.
- Comprehensive personal health insurance.
- Full Individual Visa Sponsorship.
- Professional development and certification support.
- Subscription reimbursement related to your role.
- Opportunity to work on cutting-edge AI projects.
- Monthly Employee Incentive program.
- Career advancement opportunities in a rapidly growing AI company.
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team at the forefront of technological innovation. The successful candidate will play a crucial role in driving success in delivering transformative AI solutions to clients.
At the company, we recognize that diversity drives innovation. We are committed to fostering an inclusive environment where individuals of different thinking styles can thrive and contribute their unique strengths to our specialized AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates. If you require any specific adjustments during the application process, or if you need reasonable adjustments for the interview stage, please let us know. This information will be kept confidential and will not impact hiring decisions.
