Data Platform Engineer (Mid-level)

Overview

This opportunity represents a mid-level Data Platform Engineer role based in the United Arab Emirates, offered through a partnering organization responsible for recruitment and further process coordination. The position centers on evolving an existing data and machine learning platform into a scalable, self-service system that equips engineering teams to operate autonomously.

Key Responsibilities

• Enhance and adapt CI/CD pipelines by evaluating existing deployment workflows, identifying new requirements, and ensuring dependable, consistent software delivery.
• Extend and maintain infrastructure-as-code modules aligning with established repository standards to secure uniformity, reliability, and ease of upkeep across services.
• Implement data governance protocols including naming standards, access controls, retention procedures, and other compliance measures for data services and infrastructure.
• Build and sustain reusable platform tools and template repositories incorporating CI/CD, infrastructure-as-code, and governance norms so engineering teams can initiate new pipelines with minimal manual input.
• Create standardized modules and tools that simplify pipeline creation and reduce repetitive engineering tasks, making frequent platform operations accessible through consistent workflows.
• Produce practical technical documentation, runbooks, and troubleshooting materials to enable engineers to independently manage systems without depending on specific individuals.
• Design and manage workflows for data access permissions, streamlining authorization processes and minimizing delays for teams requiring access.
• Progressively assume full responsibility for platform tooling, including directing technical priorities, upkeep, and roadmap development for template repositories and infrastructure modules.
• Collaborate closely across disciplines such as data engineering, backend development, and infrastructure to bolster platform stability and enhance tool usefulness across teams.
• Utilize AI-assisted development tools carefully by evaluating generated code, identifying possible issues, and clearly articulating the technical rationale behind delivered solutions.

Candidate Requirements

• Proven ability to independently manage a deployment path end-to-end, including pipeline construction, failure troubleshooting, production issue resolution, and documentation through runbooks.
• At least two years of professional involvement in software, data, platform, DevOps, or infrastructure engineering roles.
• A degree in Computer Science, Engineering, or a related technical discipline.
• Competent working knowledge of Python and SQL, regularly applied in professional engineering activities.
• Hands-on experience with CI/CD pipelines and infrastructure-as-code practices, capable of understanding and enhancing existing implementations.
• Strong skills in codebase analysis and troubleshooting, able to navigate unfamiliar code, pinpoint vulnerabilities, and make informed technical decisions.
• Familiarity with container technologies like Docker and foundational knowledge of cloud computing concepts, particularly AWS (specific services like SageMaker not mandatory).
• Versatility to operate across data engineering, backend development, and infrastructure domains rather than focusing entirely on one area.
• Comfort with AI coding assistive tools such as Copilot, Claude, or Cursor; able to critically review and validate AI-generated code, recognizing both its correctness and potential hazards.
• A proactive and accountable attitude toward system modifications, candid about failures, underlying causes, and learnings.
• Respect for and adherence to existing architectural frameworks and engineering standards before proposing changes.
• Effective communication skills to articulate technical choices clearly and justify implementation strategies, welcoming evaluations on reasoning as well as deliverables.
• An eagerness to learn, develop new competencies, and experiment with unfamiliar technologies; prior mastery of every technology or domain is not required.

Employee Benefits

• Competitive annual salary estimated between €33,000 and €43,000, established through an objective remuneration assessment.
• Opportunity to work remotely from any global location, with sponsored visits to headquarters for team meetings.
• Provision of meal vouchers to employees working remotely or on-site.
• Support programs dedicated to physical and mental health and fitness.
• An annual budget allocated for learning and professional development to foster technical growth.
• Access to AI-driven engineering tools for daily tasks and innovation.
• A one-time allowance to set up a functional and comfortable home workspace.
• Flexible working approach without strict clock-in or clock-out requirements, emphasizing autonomy and results.
• Additional day of leave to celebrate one’s birthday.
• A structured career growth program with clear milestones, regular feedback, and development pathways.
• Work within an international team in a dynamic environment that values quality engineering, ownership, and continuous improvement.
• Meaningful responsibility with opportunities to build on and take ownership of central platform infrastructure and its developmental roadmap.

Additional Information

The recruitment partner utilizes an AI-based matching system to objectively and efficiently review applications against key role criteria. Shortlisted candidates are forwarded to the internal hiring team, who conduct the final decision-making and subsequent steps such as interviews and assessments.

Candidate data is processed in compliance with data protection laws (including GDPR), with rights to access, correct, erase, or object available to applicants. AI tools assist in assessing application materials but decisions rest with human recruiters.