Engineering Manager (Data)

View full description

Requirements:

• At least 3 years of experience as a Delivery Manager, Engineering Manager, or similar role in software, data-intensive or analytics projects.
• Proven experience managing client relationships and navigating stakeholder expectations.
• Strong technical background in Data Engineering (e.g., Python, Spark, SQL) and Cloud Data Platforms (e.g., Azure Data Services, AWS, or similar).
• Solid understanding of scalable software and data architectures, CI/CD practices for data pipelines, and cloud-native data solutions.
• Experience with data pipelines, sensor integration, edge computing, or real-time analytics is a big plus.
• Ability to read, write, and discuss technical documentation with confidence.
• Strong analytical and consultative skills to identify impactful opportunities.
• Agile mindset, always focused on delivering real value fast.
• Conflict resolution skills and a proactive approach to identifying and mitigating risks.

Responsibilities:

• Understanding the business and technical objectives of data-driven projects.
• Leading multidisciplinary teams to deliver scalable and robust software and data solutions on time and within budget.
• Maintaining proactive and transparent communication with clients, helping them understand the impact of data products.
• Supporting the team during key client interactions and solution presentations.
• Designing scalable architectures for data ingestion, processing, and analytics.
• Collaborating with data engineers, analysts, and data scientists to align solutions with client needs.
• Ensuring the quality and scalability of data solutions and deliverables across cloud environments.
• Analyzing system performance and recommending improvements using data-driven insights.
• Providing hands-on technical guidance and mentorship to your team and clients when needed