Product Owner jobs in United Arab Emirates

Landmark Digital

As a part of the Landmark Group, a renowned retail and hospitality conglomerate in the Middle East, North Africa, and India, Landmark Digital is the dynamic digital arm of Landmark Retail, serving as the cornerstone of our omnichannel business strategy.

Headquartered in Dubai, UAE, we oversee the digital operations of eight leading brands across diverse geographies, with ambitious plans for expansion into new territories and functions. Joining us means becoming a vital part of the Middle East's most significant bricks-to-clicks success story, boasting an impressive year-on-year growth rate exceeding 100%.

Comprising a talented workforce of over 500 professionals across diverse domains, Landmark Digital spearheads various functions including Enterprise and E-commerce Tech, Product Management, User Design, and MarTech, among others. With our futuristic outlook, we are committed to delivering seamless digital experiences to our customers.

At Landmark Digital, we cultivate an agile work culture, empowering you to make impactful decisions from day one within collaborative squads comprising professionals from over 20 nationalities. Additionally, our dedicated software development center in Bangalore, India, offers opportunities for incubation, design, and optimization of digital products.

Working at Landmark Digital means engaging with cutting-edge technologies, including Enterprise and Ecommerce tech, headless commerce, Java Spring Boot, React Native, React frontend, and Azure Cloud solutions, providing an enriching environment for professional growth and development.

In addition to competitive remuneration and benefits, we prioritize continuous learning and growth through dedicated training and upskilling initiatives. Furthermore, our vibrant workplace culture fosters camaraderie through various team events, celebrations, and recreational amenities, ensuring a fulfilling experience both personally and professionally.

Come be a part of Landmark Digital, where innovation, collaboration, and growth converge to redefine the digital retail landscape.

Job Purpose
Landmark Group is looking for an Azure Data Engineer to join the Data Team in Landmark Digital.

As a Data Engineer, you will take a pivotal role in designing, deploying, and optimizing data solutions leveraging Azure's powerful ecosystem. Your expertise will drive the development of efficient data pipelines using Azure Data Factory, ensuring data quality and management in Azure Data Lake. Additionally, you'll utilize your proficiency in complex stored procedures within Azure Databricks or Synapse. Collaborating cross-functionally, you'll contribute to data-driven initiatives, harnessing Azure Synapse Analytics to provide insightful intelligence that shapes informed decision-making.

Job Description

• Responsible for the design, implementation, and optimization of data solutions as an expert Azure Data Engineer with 6-8 years of experience.
• Proficiency in programming languages like Python, SQL, or Scala for data manipulation, transformation, and analysis.
• Expertise in data modelling, data warehousing, and data integration concepts.
• Sound knowledge of data governance practices, data quality management, and data security principles.
• Develop efficient ETL pipelines using Azure Data Factory and ensure data quality and storage via Azure Data Lake.
• Utilize your proficiency in complex stored procedures within Azure Databricks to enable advanced analytics on data volumes exceeding 50TB.
• Collaborate cross-functionally to contribute to data-driven initiatives, leveraging Azure Synapse Analytics to provide actionable insights.
• Apply your deep understanding of the retail domain to enhance data strategies and solutions for retail-specific challenges.
• Play a pivotal role in shaping our organization's data-driven journey, driving innovation through data analytics and insights.
• Optimize data storage, processing and retrieval mechanisms for performance, cost, and scalability using data storage services (such as Azure Data Lake Storage, Azure SQL Database, etc.), data processing services (such as Azure Data Bricks, Azure Synapse, etc.) and data visualization (PowerBI, Qlik, etc.) & integration services (Data API builder, logic apps, etc.).
• Monitor and troubleshoot data platform performance, identify and resolve issues, and provide recommendations for continuous improvement.
• Collaborate with DevOps teams to automate deployment, configuration, and monitoring processes using Azure DevOps, PowerShell, or other relevant tools.
• Stay up to date with the latest trends and advancements in cloud data services and provide recommendations on adopting new technologies or features to enhance the data platform.
• Document technical designs, procedures, and guidelines for data platform engineering and operations.

Knowledge, Skills & Experience
Relevant Job Experience

• Bachelor's degree in Computer Science, Engineering, or a related field. Advanced degree preferred.
• Proven 6-8 years’ experience in designing, implementing solutions on the Azure ecosystem including expertise in Azure services such as Azure Data Factory, Azure Databricks, Azure Machine Learning, Azure Data Lake Storage, and Azure SQL Database, Azure Synapse, PowerBI etc.
• Experience with big data technologies such as Apache Spark, Hadoop, or similar frameworks.
• Solid understanding of cloud computing concepts and experience with cloud infrastructure management and provisioning.
• Solid understanding of network security concepts and technologies (such as firewalls, VPNs, intrusion detection/prevention systems, etc.) and data security concepts and technologies (such as access controls, encryption, observability, privacy laws/regulations, etc.).
• Experience in a Retail setup is preferred.
• Azure certifications such as Azure Data Engineer Associate or Azure Solutions Architect Expert is preferred.

Required Leadership Skills
The position will require someone with the following:
• Strategic Planning
• Communication and Collaboration
• Problem Solving Skills