Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in Dubai, United Arab Emirates.
Ready to apply for roles like this?
Unlock the company name and direct application link. Subscribers get instant access to fresh jobs across Dubai, Abu Dhabi and Riyadh, many with visa support.
Unlock employer & apply directly
Our field sales professionals rely on proactive technical support during the sales process – and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services, and solutions. From delivering sales presentations and product demonstrations to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need.
Responsibilities
- Provide pre-sales technical support to field sales teams, helping to define the overall solution for customers using the full range of company products and services.
- Build and lead relationships for highly sophisticated customer accounts.
- Conduct customer needs analysis and anticipate requirements beyond existing solution’s scope.
- Prepare detailed product specifications to enable the sale of products and solutions, and deliver impactful presentations at customer facilities.
- Verify operability of sophisticated product and service configurations within the customer’s environment.
- Perform advanced systems integration and provide technical expertise to design and implement the solution.
Requirements
- 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure.
- Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas:
- Cloud data warehouse or lakehouse migrations
- Enterprise BI modernization/self-service analytics
- GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications
- Real-time or streaming analytics
- Advanced analytics / data science enablement
- Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse).
Technical Skills
- Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse or similar).
- Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts.
- Strong SQL skills for analytical queries, performance tuning, and data modeling.
- Understanding of data governance and analytics, BI, and data science.
Consulting Skills
- Skilled at asking the right questions to uncover technical requirements and business drivers.
- Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences.
- Comfortable presenting to large groups and senior stakeholders.
