Posted on: 25/08/2025
Confidential Job Posting
This role is from a verified company that prefers not to disclose its name at this stage. Learn More
Key Responsibilities :
Strategy & Leadership :
- Lead and grow a high-performing Data Integration team, including data engineers, integration specialists, integration developers, and technical leads.
- Align integration solutions with enterprise goals, business priorities, and regulatory requirements.
- Manage the budget for the Data Integration function, ensuring optimal allocation of resources for tools, technologies, and personnel to achieve strategic objectives while adhering to financial guidelines.
Integration Architecture & Design :
- Ensure effective integration of structured and unstructured data from internal and external sources (e.g., ERP, CRM, IoT, cloud platforms, third-party providers).
Operational Excellence :
- Drive observability, monitoring, alerting, aligning with the ITIL mgmt processes to ensure operational continuity and quick resolution of issues.
- Manage data load performance tuning, scheduling, and SLA adherence for critical data pipelines.
Stakeholder Engagement & Partner management :
- Collaborate with Data Governance, Security, and Compliance teams to implement appropriate controls, policies, and audit mechanisms.
- Manage relationships with external partners and vendors to ensure alignment with organizational goals.
Innovation & Tooling :
Documentation & Standards :
- Develop onboarding and operational playbooks for new integrations and tools.
Team Development & Culture :
- Support team members growth through coaching, feedback, and learning opportunities.
Required Qualifications :
- Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or related field.
- 8+ years of experience in data integration, data engineering, management, with 2+ years in a leadership or
managerial role.
- Proficient in realtime, batch and streaming data processing supported by platforms like OIC, Kong, Kafka, Fivetran, Boomi, Workato.
- Deep knowledge of ETL/ELT frameworks, data integration tools, cloud data platforms (e.g., Azure, AWS, GCP), and data pipeline orchestration (e.g., Airflow, dbt).
- Solid insights on infrastructure architectural concepts (eg, SAAS,PAAS, IAAS, Networking, security...).
- Good understanding of data modeling, API design, metadata management, and distributed systems.
- Strong communication and stakeholder management skills.
Preferred Skills :
- Familiarity with data governance frameworks and tools.
- Experience with Agile/Scrum methodologies is a plus.
- Fluent in English.
What We Offer :
- High-impact role in shaping how data is delivered, trusted, and used across the enterprise.
- A collaborative and inclusive environment that encourages engineering innovation, ownership, and growth.
Whats In It For You :
- A company of great colleagues with a global mindset, where you feel welcomed from day one.
- A competitive salary , medical insurance for family , retirement benefits. Healthy work life balance.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1535435
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