Key Skills

Job Description

About The Company Harnham is a renowned home appliances retailer recognized for its commitment to innovation and technology-driven solutions. As a leader in the industry, the company continuously strives to enhance customer experience through cutting-edge products and services. Their dedication to excellence and sustainability has established them as a trusted name in the retail sector, with a focus on integrating advanced technological solutions into their operations. The organization is passionate about transforming the home appliances market by leveraging data and technology to deliver smarter, more efficient, and sustainable products and services to consumers worldwide. About The Role The organization is seeking a highly skilled and motivated Senior Data Engineer to join their dynamic team. In this pivotal role, you will be responsible for architecting, developing, and maintaining the company's data infrastructure to support its logistics and supply chain operations. Your expertise will enable the organization to optimize data processes, improve decision-making, and enhance analytics capabilities. The ideal candidate will have a strong background in data engineering, with experience working on large-scale data systems and cloud platforms, particularly Azure Databricks. As a key contributor, you will collaborate with cross-functional teams to understand data requirements, design scalable pipelines, and implement innovative solutions that drive operational efficiency and business growth. Qualifications Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred Proven experience as a Lead Data Engineer or similar senior data engineering role Proficiency in programming languages such as Python, Java, or Scala Experience with data processing frameworks like Apache Spark and Hadoop Strong understanding of SQL and NoSQL database systems and data modeling Hands-on experience with cloud platforms such as Azure, AWS, or GCP Knowledge of data integration, transformation, and storage best practices Excellent problem-solving, analytical, and communication skills Leadership qualities with the ability to collaborate effectively across teams Responsibilities Design, develop, and maintain scalable data pipelines for processing large volumes of structured and unstructured data Collaborate with cross-functional teams to gather data requirements and translate them into technical solutions Work extensively with Azure Databricks to build and optimize data workflows Develop and maintain robust data models ensuring data quality, integrity, and consistency Monitor and optimize data pipelines for efficiency, scalability, and performance improvements Stay informed about industry trends, emerging technologies, and best practices in data engineering Proactively recommend innovative solutions to enhance data infrastructure and analytics capabilities Ensure compliance with data governance and security standards across all data systems Benefits Competitive salary package Health insurance and wellness programs Opportunities for professional growth and development Flexible working arrangements Participation in innovative projects with a global impact Collaborative and inclusive work environment Equal Opportunity Harnham is an equal opportunity employer committed to fostering an inclusive environment for all employees. They value diversity and are dedicated to providing equal employment opportunities regardless of race, gender, age, religion, national origin, disability, or any other protected characteristic. All qualified candidates are encouraged to apply and will be considered based on merit and qualifications.

Core Responsibilities

The role involves architecting and maintaining scalable data pipelines and infrastructure to support logistics and supply chain operations. Key tasks include optimizing data workflows using Azure Databricks and ensuring data quality and governance.

Requirements

Candidates must have a degree in Computer Science or Engineering and proven experience in a senior or lead data engineering role. Proficiency in Python, Spark, and cloud platforms like Azure is essential.

Benefits

• Competitive salary package
• Health insurance
• Wellness programs
• Professional growth and development
• Flexible working arrangements