Junior Technical Data Engineer — SQL Developer

Junior Technical Data Engineer — SQL Developer

Direct message the job poster from APGAR

About Apgar

Apgar is a consulting firm specialized in Data Management, Data Governance, and AI, recognized by industry analysts and certified as a Great Place to Work organization. You’ll join a global team that helps enterprises turn data into sustainable business value across strategy, implementation, and support. You’ll join a collaborative, international team with hands‑on mentors and real impact from day one.

The Opportunity

We’re hiring a Junior Technical Data Engineer (SQL Developer) to implement Data Management solutions (MDM, Data Catalog/Quality, Data Platforms) and data pipelines. This is a junior role: prior professional experience is preferrable but not mandatory — but solid SQL, willingness to work in agile, and comfort with version control & release management are essential.

What you will do

- Design, write, and optimize SQL (joins, CTEs, window functions, aggregates; basic performance tuning & explain plans).

- Build and maintain data transformations and small integration tasks (ingest, cleanse, enrich, match, validate).

- Use Git/similar (feature branches, pull requests, code reviews) and follow release management (tagging, packaging, promoting through environments with checklists).

- Contribute in agile ceremonies (stand‑ups, planning, reviews), keep tickets & documentation tidy, deliver incrementally.

- Support testing (unit/functional checks, data validation) and write clear handover notes/runbooks.

- Collaborate with senior consultants and solution architects; ask for help early, escalates risks, and keep stakeholders informed.

What you bring

- Strong SQL foundation (must). You can read/write complex queries and reason about correctness & performance.

- Practical understanding of source control and release concepts (environments, promotion, rollback).

- Exposure to agile (Scrum/Kanban) via university, internships, or projects.

- English proficiency (written & spoken) for daily collaboration in an international setting.

- Team player, clear communicator, ownership mindset, and attention to detail.

- Curiosity and fast learning—comfortable picking up new tools, frameworks, and vendor platforms.

- Bachelor’s degree in Computer Science, Information Systems, Engineering, or related (or equivalent experience).

Nice to have (not mandatory)

- Basics of data modeling (relational/normalization) and ETL/ELT concepts.

- Exposure to Data Management platforms (MDM, Catalog, Data Quality/Profiling) or cloud data services.

How we’ll measure success (first 6–12 months)

- Reliable delivery of sprint tasks with clean, performant SQL and documented changes.

- Proper use of Git & release workflows with low rework at deployment time.

- Positive feedback from peers/clients on communication, collaboration, and ownership.

- Visible progression in one platform area (e.g., MDM configuration, data quality rules).

What we offer

- Mentorship and a clear learning path in Data Management, with exposure to leading platforms and a continuous learning mindset with support for training and certifications.

- International environment in the fastest technological area (Data & AI).

- Hybrid work, with ability to work 6 fully remotely from anywhere.

- Competitive package and a Great Place to Work culture focused on growth.

Senior level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology

Industries

IT Services and IT Consulting

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