About this role
The team is a leading global financial consulting and technology firm that specializes in helping CFOs and their teams drive value creation through data, analytics, and AI. They are seeking a Senior Data Engineer to join their dynamic team.
In this role, you will be responsible for designing, developing, and maintaining data pipelines and architectures that support the analytics needs of the organization. You will work closely with cross-functional teams to ensure data integrity and availability, enabling data-driven decision-making.
Key Responsibilities:
- Design and implement scalable data pipelines and ETL processes.
- Collaborate with data scientists and analysts to understand data requirements and deliver solutions.
- Optimize data storage and retrieval processes for performance and efficiency.
- Ensure data quality and integrity through rigorous testing and validation.
- Stay updated with the latest industry trends and technologies in data engineering.
Required Skills & Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 5-8 years of experience in data engineering or a related role.
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with data warehousing solutions and big data technologies (e.g., AWS, Hadoop, Spark).
- Strong understanding of SQL and database management systems.
- Excellent problem-solving skills and attention to detail.
What we offer:
- An opportunity to work in a fast-paced, innovative environment.
- Collaborative culture with a focus on professional development.
- Exposure to a variety of industries and cutting-edge technologies.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.