Senior Data Engineer | Corporate Services | Group Tech &Dig Platforms

Robinson & Co (Singapore) Pte Ltd; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A diversified regional business in Dubai is seeking a Senior Data Engineer to transform complex data into actionable insights. The role requires 10+ years of experience in data engineering with expertise in Azure and Databricks. Responsibilities include developing data pipelines and integrating new data sources. This is a great opportunity to influence key business decisions through data-driven insights.

Qualifications

• 10+ years of experience in data engineering with Azure and Databricks.
• Expertise in Python and PySpark.
• Ability to adapt to agile and waterfall methodologies.

Responsibilities

• Design and implement data prototypes to demonstrate value.
• Integrate new data streams into the Azure Data platform.
• Manage reusable and scalable data pipelines.

Skills

Strong analytical skills

Experience with Azure DevOps

Expertise in Python

Robust knowledge of databases

Experience in big data pipelines

Tools

Azure Data Factory

Databricks

Power BI

Alteryx

Job description

Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United Arab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands.

By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day.

Overview Of The Role:

As a Senior Data Engineer, you will play a pivotal role in transforming complex data into actionable business insights, primarily by evaluating and integrating new data sources into the Azure Data platform. Your work will ensure that data is structured for effective business intelligence and analytics, helping the organization make informed decisions and maintain a competitive edge.

Responsibilities:

• Design, document, develop, implement, and test rapid prototypes to demonstrate data value to business audiences.
• Engage in early-stage design discussions and feature definition, predefining potential insights to shape future projects.
• Develop and support the integration of new data streams into the Azure Data platform, ensuring data accessibility, reliability, and structure.
• Build and manage reusable and scalable data pipelines, optimizing data flows for efficiency.
• Convert business requirements into Technical and Functional Specification Documents (TSDs and FSDs).
• Assist with regular reporting queries and support developers in using tools like Alteryx, Power BI, and Azure.
• Work collaboratively with team members across multiple engineering teams to integrate prototypes into core intelligence products.
• Guide both internal and external teams using agile and waterfall project methodologies to ensure timely and on-spec business deliveries.
• Act as a senior team member providing leadership in dynamic project environments.

Requirements:

• Strong analytical skills in handling and deriving insights from unstructured datasets.
• Experience with Azure DevOps for deploying ADF pipelines and continuous integration.
• Expertise in Python, PySpark, and related data engineering components.
• Ability to adapt to both agile and waterfall project delivery methodologies.
• Robust working knowledge of both relational and non-relational databases.
• Proven experience in big data pipelines, architectures, and datasets.
• Deep knowledge of Azure Data Factory, Databricks, Azure Event Hub, Python, PySpark, MongoDB, GraphDB, and SQL.
• 10+ years of experience in data engineering with Azure and Databricks.

We are an equal opportunities employer and welcome applications from qualified candidates.