Senior Data Engineer / Tech Lead

at  Sanlam

DIVISION:

One of the largest businesses within the Sanlam Group, Sanlam Corporate (SC) specialises in the provision of risk, investment and administration services to institutions and retirement funds. Focused on meeting the unique needs of its diverse clients, SC assists companies in creating and delivering customised employee benefits solutions, including the collection of premiums and communication to fund members.

QUALIFICATION AND EXPERIENCE:

• Bachelor’s or master’s degree in computer science, Information Systems, Informatics, Statistics, Engineering, Mathematics, or a related field.
• 5+ years of experience in data engineering or a related field.
• E Experience with Python or other programming languages.
• Understanding of data warehousing principles (e.g. Kimball and Data Vault).xpert in SQL and advanced data warehousing techniques.

Knowledge and Skills:

• Experience in working in an agile environment.
• Knowledge of database management system (DBMS) physical implementation, including tables, joins and SQL querying.
• Experience in Database technologies (e.g. SAP Hana and Web IDE, Snowflake or similar) and Hadoop components including HDFS, Hive and Impala preferred and highly advantageous.

THE OVERALL PURPOSE OF THE ROLE:

Reporting into the Senior BI Architect, this role will be responsible for sourcing and transforming a wide range of data across our business into formats that can be used by analysts and end users to develop differentiating business insights.
As a Senior Data Engineer / Tech Lead, you will lead the design and implementation of robust data pipelines and architectures.
You will drive the development of data strategies, mentor junior team members, and ensure the scalability and efficiency of our data solutions

KEY RESPONSIBILITIES:

• Lead the design and development of scalable data pipelines.
• Architect and develop data solutions to support business requirements.
• Ensure data governance and compliance with data policies.
• Mentor and guide junior data engineers.
• Stay updated with the latest industry trends and technologies.
• Optimize and manage data storage solutions.

KEY RESPONSIBILITIES (CONTINUES)

• Define a structured approach to problem solving and delivery against it.
• Create role specific design standards, patterns, and principles.
• Assist and advise the planning and management of the workload of the team.
• Taking a lead in analytical and information layer design solutions and provide guidance to other data engineers in the team.
• Engage with a wide range of technical stakeholders including data scientists, data analysts, business analysts, other data engineers and solutions architects.