
Engineering Manager

Plain Concepts
Summary
Join Plain Concepts' international team as an Engineering Manager β Data Focus and lead the development of next-gen data platforms and analytics solutions. You will lead multidisciplinary teams, build cutting-edge solutions, and ensure the quality and scalability of data solutions across cloud environments. The role requires strong technical skills in data engineering and cloud platforms, along with experience managing client relationships. You'll work in an agile environment with a focus on delivering real value quickly. Plain Concepts offers a flexible schedule, remote work, continuous training, and various benefits including medical insurance, paid time off, and bonuses.
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
- 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
- Fluent English (MANDATORY)
- A true team player with a passion for innovation
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
Preferred Qualifications
Experience with data pipelines, sensor integration, edge computing, or real-time analytics
Benefits
- Flexible schedule 35 Hours / Week π (no salary reduction)
- Fully remote work from any city in Romania πΊοΈ
- Continuously internal trainings by our international teams π©π½βπ«
- Individual budget for training and free Microsoft certifications π
- 25 days of annual leaveπ½
- Private medical insurance (Regina Maria) π₯
- Birthday day off π΄π₯³
- Monthly bonus for electricity and Internet expenses at home π»
- Plain Camp (annual team-building event) πͺ
- Extra perks: events attendance and speakers, welcome pack, baby basket, Christmas basket β The pleasure of always working with the latest technological tools!
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