Engineering Manager leading the R&D team for a software solutions company in Tunisia. Focused on growth, technology vision, and leveraging AI.
About the role
- Data Engineering Manager leading a team of Data Engineers at Lantern's specialty care platform. Ensuring data solutions meet user needs and drive impactful results.
Responsibilities
- Lead and mentor a team of data engineers to design, develop, and deploy scalable solutions.
- Collaborate with product and business stakeholders to deliver data solutions that meet user needs.
- Architect, build, and maintain data infrastructure, ensuring reliability, scalability, and performance across various data sources and platforms.
- Implement Data Ingestion, Transformation, and Data Quality features to support Application Engineering, Analytics, and various Business Verticals across the organization.
- Collaborate with Data Engineers, Architects, and Business Analysts in building data models to improve reliability and interpretability of data for analytical and business needs.
- Define and enforce coding standards and document best practices within the team.
- Actively contribute to the creation of design documents, assess technologies, and conduct Proof of Concepts (PoCs).
- Experience supporting production jobs and mitigate issues within the defined SLA.
- Partner with senior leadership to define Data Strategy, Roadmap and hiring for future needs.
- Bring in a positive attitude and foster a culture that embraces continuous learning and Innovation
Requirements
- Bachelor’s or Master’s degree in computer science, Engineering, or a related field.
- 7+ years of experience in Data Engineering, with a track record of driving technical innovation and implementation of complex data solutions at scale
- 5+ years of hands-on programming experience Python
- 3+ years of experience managing large teams
- 4+ years of Cloud Experience: Azure (preferred)/AWS/GCP.
- 3+ years of working with EDI or HIE standards (e.g. X12, HL7, and/or FHIR)
- Proven leadership experience managing and developing data engineering teams, including team growth, skill development, and strategic project execution.
- Experience in Modern Data Technologies like Spark, Databricks, and Kafka.
- Expertise with Microsoft SQL Server (preferred) or other relational databases.
- Experience in building data lakes to support high speed querying by the end users.
- Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Prior Experience with Marketing Automation Platforms, Data Segmentation, and multi-channel campaign measurement will be helpful.
- Familiarity with CI/CD (e.g. Azure pipelines), and IAC (e.g., Terraform) is a plus.
- Experience or knowledge with creating RESTful API’s and data visualizations is a plus.
Benefits
- Medical Insurance
- Dental Insurance
- Vision Insurance
- Short- & Long-Term Disability
- Life Insurance
- RRSP with company match
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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