Our client is seeking a Senior Big Data Engineer to build and optimise large-scale data platforms that support advanced analytics, machine learning, and enterprise data products. This is an exciting opportunity to work on high-volume data processing solutions within a cloud-first environment while collaborating with multidisciplinary engineering teams.

Key Responsibilities

  • Design, develop, and maintain high-volume data ingestion and transformation pipelines.
  • Build scalable feature stores, analytical datasets, and data processing frameworks.
  • Optimise data workflows for performance, scalability, and reliability.
  • Develop ETL/ELT solutions supporting enterprise data products.
  • Collaborate with architects, data scientists, and platform engineers.
  • Implement data quality, validation, and governance processes.
  • Support cloud-native data engineering initiatives and platform optimisation.
  • Produce technical documentation and support operational excellence.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
  • 10+ years’ experience in data engineering or big data development.
  • Strong experience with Spark, Hadoop, or similar distributed data processing technologies.
  • Experience building enterprise-scale data pipelines.
  • Strong SQL and programming skills (Python, Scala, or Java).
  • Experience working with cloud-based data platforms.
  • Excellent analytical and problem-solving skills.

Advantageous

  • Experience with Azure Databricks or comparable cloud data platforms.
  • Experience with Kafka or streaming technologies.
  • Cloud certifications.
  • Telecommunications, financial services, or enterprise analytics experience.

Personal Attributes

  • Detail-oriented with a passion for data engineering.
  • Strong collaboration and communication skills.
  • Self-driven and adaptable.
  • Able to manage multiple priorities effectively.
  • Committed to delivering high-quality, scalable data solutions.

Only shortlisted candidates will be contacted.
Submit your CV to [Email Address Removed] or call [Phone Number Removed];.
Visit our website for more exciting career opportunities: [URL Removed]
Correspondence will only be conducted with short listed candidates. Should you not hear from us within 4 days, please consider your application unsuccessful.

Desired Skills:

  • Strong SQL
  • communication skills
  • Strong experience with Spark
  • problem-solving skills
  • Senior Big Data Engineer

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