Delivery Manager, Data Engineering
Dubai, Dubai, United Arab Emirates
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Company Description
We are a proprietary algorithmic trading firm. Our team manages the entire trading cycle, from software development to creating and coding strategies and algorithms. We have a team of 200+ professionals, with a strong emphasis on technology—70% of our team is made up of technical specialists. We operate as a fully remote organization, fostering a culture of transparency, clarity, and open communication. We are expanding into new markets and technologies, continuously innovating in the world of algorithmic trading.
Job Description
Data Engineering team is responsible for designing, building, and maintaining the Data Lake infrastructure, including ingestion pipelines, storage systems, and internal tooling for reliable, scalable access to market data.
Responsibilities
- Strong collaboration with the Data Engineering team, Traders
- Team management: task allocation and monitoring of their progress, tracking deadlines and task execution quality.
- Managing the team backlog: evaluation, planning, and task prioritization.
- Creating and improving processes within the team.
- Interacting with other teams and internal stakeholders.
- Participation in team assembly, its development, and motivation.
- Budget Management.
- Performance tracking.
- Creating and maintaining comprehensive team documentation.
Qualifications
- Relevant experience of 3+ years in a Delivery or Project Manager role.
- Strong technical background (as a developer, DevOps, etc.).
- Experience in interacting with stakeholders and managing their expectations.
- Expert in Kanban and Scrum frameworks and their application in Product Management and Delivery.
- Practical experience with Atlassian products: Jira, Confluence.
- Practical experience with BI tools.
- English proficiency at the B2 level or higher.
Additional Information
What we offer:
- Work in a modern international technology company without bureaucracy, legacy systems, or technical debt.
- Excellent opportunities for professional growth and self-realization.
- Remote work from anywhere in the world, with a flexible schedule.
- Compensation for health insurance, sports activities, and professional training.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Confluence DevOps Engineering Jira Kanban Pipelines Scrum
Perks/benefits: Career development Flex hours Team events Transparency
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