Data Engineer (5+ years of experience)

Maseera; Manama; Presencial; BHD 16.000 - 23.000; Jornada completa

Descripción de la vacante

ARRAY is seeking a senior data engineer to design robust data models and semantic layers that power AI-driven analytics. You will build and orchestrate scalable ETL/ELT pipelines using Airflow and dbt, feeding cloud data warehouses and lakehouses.

The role includes managing relational and NoSQL databases, implementing data governance, and integrating workloads on a Kubernetes-native platform with AWS services.

Formación

• Bachelor's degree in Computer Science or a STEM-based subject.
• 5+ years of experience in data or software engineering.
• Strong SQL and Python (or Java) skills.
• Hands-on experience building ETL/ELT pipelines using orchestration tools such as Airflow.
• Experience with cloud data warehouses and lakehouse architectures (e.g., Snowflake, Redshift, BigQuery, Apache Iceberg, or Delta Lake).
• Strong database fundamentals — schema design, indexing, query optimization — across relational (PostgreSQL, MySQL, Oracle) and NoSQL systems.
• Experience with unstructured data stores (Vector DBs, Document DBs) supporting AI/ML retrieval use cases.
• Working knowledge of containerized environments (Docker, Kubernetes) for deploying data workloads.
• CI/CD pipeline experience (GitHub Actions, GitLab CI, Jenkins, or similar).
• Working knowledge of Infrastructure as Code (Terraform or similar).
• Proficiency with version control (Git).
• Strong written and verbal English communication skills.

Responsabilidades

• Data Modelling: Design schemas and semantic layers (medallion bronze/silver/gold) that power AI-driven applications and analytics.
• ETL & Pipeline Architecture: Build and orchestrate ETL/ELT pipelines (batch and streaming) using Airflow and dbt, feeding cloud data warehouses and lakes.
• Lakehouse & Storage Architecture: Design and maintain data lake and lakehouse solutions using open table formats over object storage.
• Database Engineering: Manage relational and NoSQL databases supporting both transactional and analytical workloads.
• Data Governance: Implement RBAC, permission-aware retrieval, reconciliation, and data quality monitoring across data platforms.
• Cloud & Platform Integration: Deploy and operate data workloads on Kubernetes-native platform alongside core AWS services.

Conocimientos

SQL

Python

Airflow

Cloud data warehouses

Lakehouse

PostgreSQL

MySQL

Oracle

NoSQL

Docker

Kubernetes

Terraform

Git

Educación

Bachelor's degree in Computer Science or STEM

Herramientas

Airflow

dbt

Snowflake

Redshift

BigQuery

Apache Iceberg

Delta Lake

Kubernetes

Docker

Terraform

Descripción del empleo

At ARRAY, we're not just another software services company—we're a team of dreamers, innovators, and trailblazers! From startup grit to big-tech aspirations, we're on a mission to redefine technology, put Bahrain on the global tech map, and grow into a powerhouse that inspires. If you're ready to be part of an exciting journey, we want you on our team!

KEY RESPONSIBILITIES

• Data Modelling: Design schemas and semantic layers (medallion bronze/silver/gold) that power AI-driven applications and analytics.
• ETL & Pipeline Architecture: Build and orchestrate ETL/ELT pipelines (batch and streaming) using Airflow and dbt, feeding cloud data warehouses and lakes.
• Lakehouse & Storage Architecture: Design and maintain data lake and lakehouse solutions using open table formats (Apache Iceberg, Delta Lake, or Hudi) over object storage, balancing cost, performance, and query flexibility.
• Database Engineering: Manage relational and NoSQL databases (PostgreSQL, MySQL, Oracle) supporting both transactional and analytical workloads, including performance tuning, replication, and migration between systems.
• Data Governance: Implement role-based access control, permission-aware retrieval, reconciliation, and data quality monitoring across data platforms.
• Cloud & Platform Integration: Deploy and operate data workloads on our Kubernetes-native platform (ArgoCD, Terraform) alongside core AWS services.

MUST-HAVE SKILLS

• Bachelor's degree in Computer Science or a STEM-based subject.
• 5+ years of experience in data or software engineering.
• Strong SQL and Python (or Java) skills.
• Hands-on experience building ETL/ELT pipelines using orchestration tools such as Airflow.
• Experience with cloud data warehouses and lakehouse architectures (e.g., Snowflake, Redshift, BigQuery, Apache Iceberg, or Delta Lake).
• Strong database fundamentals — schema design, indexing, query optimization — across relational (PostgreSQL, MySQL, Oracle) and NoSQL systems.
• Experience with unstructured data stores (Vector DBs, Document DBs) supporting AI/ML retrieval use cases.
• Working knowledge of containerized environments (Docker, Kubernetes) for deploying data workloads.
• CI/CD pipeline experience (GitHub Actions, GitLab CI, Jenkins, or similar).
• Working knowledge of Infrastructure as Code (Terraform or similar).
• Proficiency with version control (Git).
• Strong written and verbal English communication skills.