Data Engineer

How to use this kit

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.

Interview prep

• Walk through designing a database architecture for a multi-tenant or catalog-style workload: models, partitions, indexes, transfer paths.
• Explain how you balance scalability, security, and performance with stakeholders (architects, analysts).
• Be ready on data modeling (metadata, views, interfaces) and documenting decisions for implementers.

Fit summary

Strong fit if you enjoy database architecture and data modeling for application systems, collaborate across architecture roles, and want on-site work in Zagreb on a long-standing library-system product line (founded 1981 per DATA). Weak signal on employer culture—no reliable reviews in DATA.

Day in the role

As a Data Engineer at Aleph (library-system product context), a typical day centers on designing and documenting database architectures, building data models/metadata/views, and working with architects and analysts on scalability, security, performance, and reliable data access for business applications—aligned with O*NET database-architecture tasks for this title.

Skills to emphasize

• freeCodeCamp — Full Stack curriculum (free)
• Saylor Academy — Computer Science courses (free)
• CS50 (Harvard, via edX) (free to learn)
• Microsoft Learn — developer training paths (free to learn)

FAQ from this listing

Is this role remote?

No—the listing marks remote as off; location is Zagreb, Croatia.

What does the Data Engineer work on day to day?

O*NET-style work: database architecture, models/metadata/views, and designs that keep apps scalable, secure, and performant, with cross-team collaboration.

What free learning paths match the skills family?

CERTS lists free or free-to-learn tracks: freeCodeCamp Full Stack, Saylor CS courses, Harvard CS50, and Microsoft Learn developer paths (costs as listed above).

Occupation tasks (O*NET)

Public-domain labor data — prepare examples for 2–3 of these.

• Develop and document database architectures.
• Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.
• Develop database architectural strategies at the modeling, design and implementation stages to address business or industry requirements.
• Design databases to support business applications, ensuring system scalability, security, performance, and reliability.
• Develop data models for applications, metadata tables, views or related database structures.
• Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure.
• Develop methods for integrating different products so they work properly together, such as customizing commercial databases to fit specific needs.
• Create and enforce database development standards.

O*NET source

Company facts (cached)

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.

Role overview (listing rewrite)

Data Engineer   Aleph Zagreb, Croatia Role Overview Join Aleph on a mission to revolutionize digital advertising. As part of our global team, you will be responsible for driving the integration and transformation of data from diverse platforms into unified, high-impact solutions used across the organization. This hands-on role involves enabling visibility, automation, and smarter decisions at scale. Responsibilities Integrate and transform data from various platforms into unified, high-impact solutions. Create robust data pipelines to support business operations and decision-making processes. Develop and maintain scalable, efficient, and reliable data systems. Collaborate with cross-functional teams to ensure seamless data flow and integration. What You Bring Strong background in data engineering or a related field. Experience with big data technologies such as Hadoop, Spark, Kafka, and NoSQL databases. Familiarity with ETL processes and data warehousing principles. Proficiency in programming languages like Python, Java, or Scala. A proven track record of delivering high-quality data solutions in a fast-paced environment. Why Join Aleph At Aleph, you’ll be part of a dynamic, global team where your work directly impacts the business. We offer limitless opportunities for growth and development, working with leading platforms like TikTok, Amazon, Google, and more. Our mission is to empower advertisers and brands to unlock the full potential of digital advertising capabilities. Applying for This Role To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.

Full job on Get A Job.AI

Questions to ask them

• What does success look like in the first 90 days for this role?
• How is the team structured, and who would I work with most?
• What tools and systems does this role use daily?
• Is the work primarily based in Zagreb, Croatia, hybrid, or fully remote?