Pipeline – Data Engineer

We’re on the lookout for talented Data Engineers – Join our Talent Community!

We are proactively building a talent pool of Senior Data Engineers to support upcoming projects across banking, healthcare, retail, and investment sectors. This role is ideal for professionals who can design, build, and optimize data pipelines and architectures while leading data engineering initiatives and ensuring high-quality, scalable data solutions.

Required Skills & Experience:

• 5–8+ years’ experience in data engineering or related roles.
• Strong expertise in SQL, Python, Java, or Scala for data processing.
• Hands-on experience with big data technologies such as Hadoop, Spark, Kafka, or Flink.
• Experience with cloud-based data platforms (AWS, Azure, GCP) and data warehouse solutions (Redshift, BigQuery, Snowflake).
• Knowledge of ETL/ELT processes, data modeling, and pipeline orchestration tools (Airflow, Luigi, Prefect).
• Strong problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.

Desirable:

• Cloud certifications such as AWS Big Data Specialty, Google Professional Data Engineer, or Azure Data Engineer Associate.
• Experience in real-time streaming data pipelines and event-driven architectures.
• Knowledge of data governance, privacy, and compliance regulations (GDPR, POPIA).
• Familiarity with MLOps pipelines for data-driven AI/ML projects.

Why Join Our Talent Pipeline?

• Be first in line for strategic data engineering roles with leading clients.
• Opportunities to influence data architecture and analytics strategy across multiple industries.
• Work on cutting-edge technologies while mentoring the next generation of data engineering talent.

This is not for an immediate role but to ensure we can reach out to you quickly when the right opportunity opens up.