Ground every answer in facts on this page and the original listing. We never invent Glassdoor-style reviews or salaries that are not in our data.
Be ready to walk through database architecture trade-offs, modeling choices, scalability/security/reliability, and how you partner with architects and product stakeholders. Use concrete examples of schemas, pipelines or transfer layers, and performance-minded design—aligned with O*NET tasks, not invented Aleph-specific stacks.
Strong fit if you like remote data engineering for a long-lived library ILS product context, can own models and architectures end-to-end, and are comfortable with sparse employer-review data. Weak signal on culture and pay from this DATA set—validate those directly with the company.
As a Data Engineer at Aleph, expect to design and document database architectures, build models/metadata/views, and plan scalable, secure, reliable stores that support product and business applications. Much of the day is collaboration with architects and analysts to turn requirements into schemas, transfer mechanisms, partitions, and efficient access patterns—grounded in standard data-engineering practice for a library-systems product company rather than invented product metrics.
Build core software and data fundamentals with free or free-to-learn paths:
Yes—the listing flags remote (remote: 1) with Belgrade, Serbia as the location label.
Per occupation data: architectures, models, scalable secure databases, and collaboration with architects and analysts—not invented product KPIs.
Yes: freeCodeCamp and Saylor (free); CS50 and Microsoft Learn (free to learn), per CERTS.
Public-domain labor data — prepare examples for 2–3 of these.
Website: exlibrisgroup.com/products/aleph-integrated-library-system
Aleph is the first letter of the Semitic abjads, including Phoenician ʾālep 𐤀, Hebrew ʾālef א, Aramaic ʾālap 𐡀, Syriac ʾālap̄ ܐ, Arabic ʾalif ا, and North Arabian 𐪑. It also appears as South Arabian 𐩱 and Ge'ez ʾälef አ.
Public cache only — not an employee review.
Data EngineerAlephBelgrade, Serbia Position Summary Join Aleph, a leader in digital advertising solutions, and contribute to our mission of empowering advertisers and brands through cutting-edge data engineering. As a Data Engineer at Aleph, you will be part of a dynamic global team driving the integration and transformation of diverse platform data into unified, high-impact solutions. This role is full-time and allows for remote work. Key Responsibilities Drive the integration and transformation of data from various platforms into unified, high-impact data solutions used across the organization. Enable visibility, automation, and smarter decisions at scale by enhancing business operations through data-driven insights. Foster long-lasting partnerships with leading advertising platforms to ensure seamless data flow and utilization. Requirements Experience in data engineering, ETL processes, and data transformation. Proficiency in SQL, Python, or other programming languages relevant to data engineering. A strong understanding of big data technologies such as Hadoop, Spark, and Kafka. Knowledge of cloud platforms like AWS, GCP, or Azure is a plus. Experience with data warehousing solutions and business intelligence tools. Excellent problem-solving skills and the ability to work in a fast-paced environment. Why Join Aleph Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. As a Data Engineer at Aleph, you will have the opportunity to shape the future of digital advertising and contribute to our global mission of empowering advertisers and brands. Our team values ambition, forward-thinking, and a willingness to thrive in a dynamic, global environment. How to Apply To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.
Generated for personal interview prep · 2026-08-01 UTC · getajob.ai