Data & Analytics Engineer at Fecundity Technologies

Fecundity Technologies; Dubai; On-site; AED 156,000 - 201,000; Full time

Job summary

Fecundity Technologies in Dubai seeks a Data & Analytics Engineer to design, build, and maintain scalable data pipelines and reporting solutions. You will leverage Azure Data Factory, Azure Synapse, and Google BigQuery to ingest, transform, and optimize data, while delivering dashboards in Power BI for business stakeholders.

The role emphasizes data quality, governance, and collaboration with analysts and data scientists to translate business needs into technical solutions.

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, Power BI, Azure Synapse Analytics, Azure Data Factory, SQL.
• Solid understanding of data warehousing concepts, dimensional modeling, and ETL/ELT best practices.
• Experience with structured and semi-structured data (CSV, JSON, Parquet).
• Strong analytical and problem-solving skills with attention to detail.
• Good communication skills to work with cross-functional teams.

Responsibilities

• Design, develop, and maintain robust ETL/ELT pipelines using Azure Data Factory 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.

Skills

Azure Data Factory

Azure Synapse Analytics

Google BigQuery

Power BI

SQL

Data modeling

Python / PySpark

Data governance

CI/CD for data pipelines

ETL/ELT

Education

Bachelor's degree in Computer Science / Data Engineering

Tools

Power BI

Azure Data Factory

Azure Synapse Analytics

Google BigQuery

SQL

Job description

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