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
- Engineering Manager managing a data engineering team focused on building scalable, AWS-based data solutions for financial services. Championing innovation and operational excellence with emerging technologies.
Responsibilities
- Hands-On Lead and mentor a high-performing data engineering team, fostering technical excellence and professional growth while ensuring delivery of scalable, modern data solutions aligned with business priorities.
- Partner with the CDO team and data product leaders to define and execute the vision for an AWS-based data platform that enables enterprise-wide self-service, unlocking data for AI, analytics, and innovation.
- Drive architectural decisions and establish best practices for data ingestion, transformation, and distribution frameworks that accelerate time-to-insight for data producers and consumers.
- Champion adoption of emerging technologies such as Agentic AI and Generative AI, integrating advanced capabilities into data workflows to enhance user experience and position the organization as “AI-Ready.”
- Ensure operational excellence and reliability by proactively addressing complex data engineering challenges, implementing robust quality controls, and preventing production incidents.
Requirements
- 7-10 years’ experience, hands-on, leading highly technical data-centric software engineers, preferably in financial services, in support of Data Lake houses (e.g. AWS, Databricks, Snowflake), data virtualization solutions (e.g. Starburst), modern data catalogs & data quality capabilities (e.g. Collibra), and Master Data Management (e.g. Informatica).
- Proven AWS expertise (S3, EKS, Lambda, Glue, EMR, Redshift, S3, RDS/Aurora, Valkey/Redis, Step Functions, MSK/Kafka, Event Bridge).
- AWS Certification strongly preferred.
- Experience applying AI/ML to boost engineering productivity (e.g., GitHub Copilot, Amazon Q).
- Strong Python for data engineering (Pandas, Spark/PySpark) and API Development (FastAPI or similar).
- Design and build high-performance REST/GraphQL APIs with optimized query patterns, pagination, caching, and schema design to ensure low-latency, performant reads at scale.
- Build ETL/ELT pipelines for batch and streaming; Kafka/MSK with schemas (Avro/JSON) and delivery semantics.
- Optimize performance of object-based and relational datastores.
- Design applications with microservices and a containerization mindset with ‘decoupling’ architectural principles.
- Caching with Valkey/Redis: TTL strategies, invalidation, key design.
- CI/CD and IaC with GitHub, Git/GitHub workflows, ArgoCD.
- Security and reliability: IAM, KMS, secrets, VPC networking, observability (OpenTelemetry), SLOs, cost governance.
- Ability to solve complex data-driven requirements and triage towards defects and production bugs.
- Technology solutions and tools, including data governance and catalog solutions (e.g., Collibra, Alation, data platform and lake(house) (i.e., medallion’s architecture), and data mesh and virtualization tools (e.g., Starburst, Denodo).
- Experience in leading the evaluation of new technologies and methodologies to enhance efficiency. (“Buy” vs “Build”).
Benefits
- Work-Life Balance First: 40% in-office monthly stay connected while keeping flexibility.
- A Culture of Learning & Mobility: Dedicated training, leadership development, and mentorship programs designed to ensure that your time at our client will be a continuous learning opportunity.
- Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals.
- Promoting Health & Well-being: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational well-being.
- Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, are designed to help you balance career and family life effectively.
- Inclusive Work Environment: A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe.
- Dedication to Giving Back: Paid volunteer days, matched funding for donations, and ample opportunities to volunteer in your community.
Job title
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