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Unison Group

Data Engineering Manager - Big Data

Unison Group Singapore, Singapore · SGD 80K–SGD 120K/yr

Business Consulting and Services · 11-50 employees

Oct 22
engineering-manager Principal (10+ yrs) Contractor Singapore
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About the role

Lead and manage data engineering teams to design and deliver scalable enterprise data platforms and pipelines. Oversee data quality, governance, and the implementation of robust ETL/ELT frameworks while mentoring engineering staff.

What they look for

Data Engineering Big Data Team Management Hadoop Spark PySpark Hive Kafka ETL/ELT Python SQL Data Architecture Data Governance Cloud Platforms Databricks Performance Tuning

Requirements

Requires 10+ years of experience in data engineering with hands-on expertise in Big Data technologies and distributed processing frameworks. Candidates must possess strong leadership skills and proficiency in Python, SQL, and cloud-based data platform architectures.

Full description

Location: Singapore Experience: 10+ years in Data Engineering, including hands-on Big Data expertise and team management Domain: Banking / Financial Services preferred

Key Responsibilities• Lead and manage data engineering teams to design, develop, and deliver scalable enterprise data platforms and pipelines.

  • Maintain strong hands-on expertise in Big Data technologies such as Hadoop, Spark, PySpark, Hive, Kafka, and distributed data processing.
  • Design and implement robust ETL/ELT pipelines, data ingestion frameworks, data transformation, and data integration solutions.
  • Drive data engineering architecture, technical design, performance tuning, and optimization of large-scale data processing workloads.
  • Manage data lake, data warehouse, and modern cloud-based data platform implementations.
  • Work with cloud platforms such as AWS, Azure, or GCP and technologies such as Databricks, where applicable.
  • Lead data quality, data governance, metadata management, security, and data reliability initiatives.
  • Collaborate with solution architects, data architects, business stakeholders, and project managers to translate business requirements into technical solutions.
  • Manage project delivery, resource allocation, technical reviews, risk mitigation, and delivery timelines.
  • Mentor engineers, establish engineering best practices, and ensure high-quality, maintainable, and production-ready code.

Required Skills and Experience• 10+ years of experience in data engineering, Big Data development, and enterprise data platforms.

  • Proven hands-on experience in Big Data technologies, with the ability to guide teams technically and troubleshoot complex engineering challenges.
  • Strong proficiency in Python, PySpark, SQL, and distributed data processing frameworks.
  • Experience building and managing complex data pipelines, ETL/ELT workflows, and large-scale data processing solutions.
  • Demonstrated experience leading data engineering teams, managing deliverables, and driving technical execution.
  • Strong understanding of data modelling, data architecture, performance optimization, and data platform scalability.
  • Experience with cloud-based data engineering and modern data platforms is highly desirable.
  • Excellent stakeholder management, communication, problem-solving, and leadership skills.

Preferred: Experience in banking, financial services, regulatory reporting, risk analytics, or other data-intensive enterprise environments.

Ideal Candidate: A technically strong Data Engineering Manager who combines practical Big Data development experience with proven people leadership, solution delivery, and the ability to guide engineers through complex data engineering challenges.

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