Data Engineer L1

Role Description

The Data Engineer L1 is an entry-to-junior level role responsible for building and maintaining data pipelines and integration solutions across the company's centralized data platform. Working under the guidance of the Digital Transformation Manager, this role contributes to the full data stack from ingestion and transformation through to modelling and quality  on well-defined workstreams. The Data Engineer L1 is expected to grow steadily toward independent delivery, taking on increasing technical complexity over time with support from senior team members.

Main task:

• Complex system integration and pipeline architecture
• Enterprise data platform and pipeline design
• Centralized data modelling and scoring frameworks
• Implement data quality control across all services
• Architect cross-platform integration and testing
• Analytics solution implementation and handover
• Conduct system compatibility assessments for deployments
• Deploy reusable automation frameworks and monitor usage
• Manage cross-functional project check-ins and tracking 

Education & Certifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field
• Relevant certifications in Cloud (Azure,DP-203, DP-700)/Data Engineering or Data Architecture are a plus

Experience

• 1+ years of hands-on Data Engineering experience delivering production solutions
• Strong Python and PySpark (distributed processing, optimization)
• Solid SQL (complex joins, window functions, performance tuning)
• Experience with Apache Airflow (DAGs, scheduling, monitoring, failure handling)
• Built end-to-end data pipelines on at least one cloud platform (Azure, AWS, or GCP)
• Experience integrating REST APIs (auth, pagination, incremental loads)
• Strong Excel skills (Power Query, complex logic analysis)
• Good understanding of data modelling (star schema, SCD, fact/dimension)
• Good English communication
• Experience with DBT and modern data stack tools
• Exposure to streaming/real-time tools (Kafka, Pub/Sub, CDC, Fivetran)
• Experience integrating ERP or internal systems

Preferred:
Experience replacing or automating manual Excel-based reporting processes
Exposure to data modelling concepts: fact and dimension tables, star schema
Familiarity with dbt or equivalent transformation framework
Experience working in a manufacturing, supply chain, or ERP-connected data environment

**AT UN-AVAILABLE IS AN EQUAL OPPORTUNITY ORGANIZATION AND WILL NOT ALLOW DISCRIMINATION BASED UPON AGE, ETHNICITY, ANCESTRY, GENDER, NATIONAL ORIGIN, DISABILITY, RACE, SIZE, RELIGION, SEXUAL ORIENTATION, SOCIOECONOMIC BACKGROUND, OR ANY OTHER STATUS PROHIBITED BY APPLICABLE LAW.