Data & Analytics Engineer at Fecundity Technologies

Apply for Data & Analytics Engineer at Fecundity Technologies in Dubai, DU, AE. This Full time on site position offers great opportunities for career growth.

About the Role

We are looking for a skilled Data & Analytics Engineer to design, build, and maintain scalable data pipelines and reporting solutions. The ideal candidate will have hands‑on experience with cloud-based data warehousing, ETL/ELT pipeline development, and business intelligence tools, enabling the organization to make data‑driven decisions with reliable and well‑structured data.

Key Responsibilities

• Design, develop, and maintain robust ETL/ELT pipelines using Azure Data Factory (ADF) to ingest, transform, and load data from multiple source systems.
• Build and optimize data models and pipelines within Azure Synapse Analytics for efficient data warehousing and analytics.
• Work with Google BigQuery to manage, query, and optimize large-scale datasets for analytical workloads.
• Develop interactive dashboards, reports, and visualizations using Power BI to support business stakeholders.
• Write efficient, optimized SQL queries for data extraction, transformation, and analysis across various platforms.
• Ensure data quality, consistency, and integrity across pipelines and reporting layers.
• Collaborate with business analysts, data scientists, and stakeholders to understand reporting and data requirements.
• Monitor and troubleshoot data pipeline performance issues, ensuring timely and accurate data delivery.
• Implement best practices for data governance, security, and documentation.
• Support ad-hoc data requests and analysis as needed by business teams.

Required Skills & Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.
• X+ years of experience in data engineering, analytics engineering, or a similar role.
• Strong hands‑on experience with: Google BigQuery — writing optimized queries, managing datasets, performance tuning Power BI — dashboard design, DAX, data modeling, report publishing Azure Synapse Analytics — data warehousing, pipeline integration Azure Data Factory (ADF) — pipeline orchestration, data ingestion, transformation workflows SQL — advanced query writing, stored procedures, performance optimization
• Solid understanding of data warehousing concepts, dimensional modeling, and ETL/ELT best practices.
• Experience working with structured and semi‑structured data (CSV, JSON, Parquet, etc.).
• Strong analytical and problem‑solving skills with attention to detail.
• Good communication skills to work with cross‑functional teams and translate business needs into technical solutions.
• Preferred / Nice‑to‑Have Experience with Python or PySpark for data processing.
• Familiarity with other cloud platforms (AWS, GCP) beyond Azure and BigQuery.
• Knowledge of CI/CD practices for data pipeline deployment.
• Experience with data governance and security frameworks.
• Prior experience in (specific industry, e.g., banking, retail, healthcare) is a plus.

Pay: AED14,000.00 - AED18,000.00 per month Work Location: In person