Company Overview
I am working with a leading data consulting and engineering organization, helping clients design, deploy, and optimize cloud data platforms. They focus on large-scale data solutions, advanced analytics, and unlocking actionable insights from complex datasets using modern cloud and AI technologies.
Role Overview
We are seeking a Data Engineer with strong Databricks experience to work on high-impact, large-scale data projects. The role involves designing, implementing, and optimizing scalable data pipelines and platforms in cloud environments, while collaborating closely with cross-functional teams.
Key Responsibilities
- Design, build, and maintain scalable data pipelines and ETL/ELT workflows
- Develop, optimize, and implement Databricks and Spark-based solutions
- Collect, transform, analyze, and visualize large datasets for actionable insights
- Ensure performance, scalability, and reliability of data solutions
- Stay up to date with latest technologies and best practices in data engineering
Requirements
Qualifications / Skills & Experience
- Degree in Computing, IT, or relevant field
- 3+ years of equivalent experience
- Hands-on experience with Databricks and Spark
- Proficiency in Python and/or Scala for big data processing
- Experience with cloud platforms (AWS or Azure) and big data technologies (Kafka, Kubernetes)
- Strong analytical skills and problem-solving ability
- Team-oriented, proactive, and eager to grow professionally
Desirable
- AWS or Databricks certification (or willingness to obtain)
- Experience with machine learning models and real-time analytics
- Exposure to CI/CD for data pipelines
Additional Information
- Competitive salary and benefits package (company car, laptop, phone, insurances, allowances, bonus plan)
- Flexible and supportive work environment
- Personalized training plan and learning budget
- Informal, collaborative culture with team events