Posted on: 13/01/2026
Description :
Responsibilities :
- Lead, mentor, and grow a team of data engineers.
- Set clear goals, provide regular feedback, and manage performance.
- Foster a collaborative, high-performing engineering culture.
- Architect and implement robust, scalable data pipelines and ETL processes.
- Drive the development of data models, data lakes, and data warehouses.
- Partner with data scientists, analysts, and software engineers to deliver high-quality data solutions.
- Collaborate with cross-functional teams to understand business needs and translate them into technical requirements.
- Manage project timelines, prioritise tasks, and ensure timely delivery.
- Ensure compliance with data governance and security policies.
- Establish best practices for data engineering, including testing, version control, and documentation.
- Evaluate and integrate new technologies and tools as appropriate.
- Continuously improve system performance, cost, and scalability.
Requirements :
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 9+ years of experience in data engineering or software engineering.
- 2+ years of experience in a leadership or managerial role.
- Expertise in SQL and data modelling.
- Strong proficiency in Python, Scala, or Java.
- Experience with data pipeline orchestration tools (e. g., Airflow).
- Familiarity with big data technologies (e. g., Spark, EMR).
- Experience with cloud platforms (e. g., AWS) and services like S3 Redand shift.
- Solid understanding of data warehousing concepts and real-time data streaming (e. g., Kafka).
- Excellent communication and interpersonal skills.
- Strong problem-solving skills and attention to detail.
- Ability to balance technical leadership with people management.
Did you find something suspicious?
Posted by
Posted in
Data Engineering
Functional Area
Engineering Management
Job Code
1601342