Job Description
Requirements
- 2–3+ years of experience in growth or marketing performance roles — ideally in the B2B SaaS or tech services space. - Understanding of the AI market landscape, with the ability to promote AI development services and translate technical capabilities into marketing messages. - Proven experience running successful marketing campaigns and managing performance metrics. - Familiarity with CRM and Sales Engagement Platforms (e.g. Instantly, Reply.io, Apollo). - Strong analytical skills with the ability to interpret data and generate actionable insights. - Excellent organizational skills and attention to detail. - Strong written and verbal communication skills in English.
Data Engineer ID52278 in Bucuresti
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
As a Data Engineer, you will design and scale high-performance ELT pipelines that power a centralized data warehouse and enable reliable, data-driven decision-making across the organization. You’ll collaborate closely with cross-functional teams to build a robust, scalable data platform, ensuring data quality, accessibility, and performance. This role offers strong ownership, architectural influence, and the opportunity to shape data systems, best practices, and a growing data-driven culture.
WHAT YOU WILL DO
- Design, build, and optimize high-volume, high-performance ELT pipelines for a centralized data warehouse;
- Collaborate with Product, ML Engineers, Data Scientists, and DevOps to define scalable and secure data platform architecture;
- Own key data warehouse components including development, deployment, monitoring, and continuous improvement;
- Provide technical leadership through data architecture reviews and system design discussions;
- Contribute to engineering culture and data-driven best practices;
- Support internal and external stakeholders with a focus on data accessibility and usability;
- Mentor team members and participate in hiring processes.
MUST HAVES
- 5+ years of experience in data engineering building scalable systems and pipelines;
- Expert proficiency in SQL and strong coding skills in Python;
- Hands-on experience with data warehousing, data lakes, and large-scale data systems;
- Strong understanding of computer science fundamentals (data structures, algorithms, distributed systems);
- Solid understanding of distributed system architecture focusing on availability, reliability, and performance;
- Strong focus on execution and product delivery;
- Exceptional attention to detail and quality;
- Strong communication skills;
- Ability to mentor and support other engineers;
- Leadership mindset with ability to take initiative and deliver results;
- Comfort working in a fast-paced, evolving environment;
- Familiarity with Python, Django, Kubernetes, PostgreSQL, DBT, Redshift, AWS;
- Upper-intermediate English level.
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.
Contact
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