Job Title: Data Engineer 

Job Type: Full-time, Permanent

About the Opportunity

Our client, a dynamic multinational company, is establishing a new global data engineering team to champion their diverse digital initiatives and large-scale data projects. This is a ground-floor opportunity to join a creative, motivated, and results-driven team in a role that offers a fantastic work-life balance.

This position is crucial for building and scaling the company's data analytics capabilities. They are seeking a talented Data Engineer who is passionate about data and enjoys collaborating in a fun, high-impact environment.

Key Benefits & Perks

• Work-Life Balance: Hybrid work model (2 days work-from-home) and flexible shifts (e.g., 8:00-4:30, 9:00-5:30, 10:00-6:30).
• Compensation: Competitive salary, double pay, performance bonus, and overtime pay.
• Leave: Generous 14-20 days of annual leave.
• Health: Comprehensive medical, dental, and life insurance.
• Work Week: Standard five-day work week.

Core Responsibilities

• Architect, implement, and maintain the company's core data platform and innovative data solutions.
• Design, construct, and automate robust, modern data pipelines and real-time data streams.
• Develop and manage data models and schemas to facilitate efficient data integration and analysis.
• Proactively monitor, optimize, and troubleshoot ETL/ELT processes, identifying and implementing improvements to enhance performance and efficiency.
• Collaborate closely with data analysts, data stewards, and business stakeholders to translate functional requirements into technical specifications.
• Ensure high data quality and accuracy by performing rigorous data profiling, cleansing, and validation.
• Evaluate the performance and suitability of new data tools and technologies against business requirements.
• Contribute to related data initiatives, including data quality improvements and data education programs.

Required Qualifications

• Degree holder in Computer Science, Information Technology, or a relevant discipline.
• A minimum of 3 years of dedicated experience in data engineering.
• Expert-level proficiency in SQL is mandatory.
• Hands-on experience with Azure Databricks or Azure Synapse.
• Strong programming skills in a data-focused language (e.g., PySpark, Python, R, Java, Scala).
• Proven experience designing and deploying data applications on cloud solutions, specifically Azure.
• Excellent problem-solving skills and a strong data-driven mindset.
• Self-motivated, with the ability to work independently and as part of a collaborative team.
• Good communication skills in both written and spoken English.
• Willingness to travel as needed.

Preferred Qualifications (Advantages)

• Professional certification, such as Azure Data Engineer Associate.
• Knowledge of the wider Azure ecosystem (Azure Data Factory, Azure Data Lake, Azure Event Hub) or Power BI.
• Experience in performance tuning and code optimization within Azure Databricks or Synapse.
• Experience preparing data for data science and machine learning models.
• Familiarity with DataOps principles.
• Prior experience working as part of a distributed global team.

How to Apply

To apply for this exciting opportunity, please submit your detailed resume for review.