Senior Data Engineer (Kimberley)

Placements24; Kimberley; Hybrid; CAD 68,000 - 102,000; Full time

Benefits offered by this job

Competitive salary package

Medical aid

retirement fund contributions

Professional development

Hybrid work model

Job summary

Placements24 is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines and data warehousing solutions in a hybrid work setting. The role focuses on ETL/ELT, data models, and collaboration with data scientists to transform raw data into actionable insights.

The ideal candidate has 5+ years of data engineering experience, strong SQL and big data tech familiarity (Spark/Hadoop), and hands-on cloud platform experience (AWS/Azure/GCP).

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related quantitative field.
• 5+ years of professional experience in data engineering or a related role.
• Proven experience designing and implementing ETL/ELT processes.

Responsibilities

• Design, build, and maintain scalable and reliable data pipelines (ETL/ELT).
• Develop and manage data warehouses and data lakes using cloud platforms.
• Optimize data models and database performance for analytical workloads.
• Collaborate with data scientists and analysts to understand data requirements and provide solutions.
• Implement data quality checks and monitoring processes.
• Ensure data security, privacy, and compliance with relevant regulations.
• Evaluate and integrate new data technologies and tools.
• Write efficient and maintainable code using languages like Python, SQL, or Scala.
• Troubleshoot and resolve data-related issues.
• Mentor junior data engineers and contribute to best practices.

Skills

Python

SQL

Scala

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field

Tools

Spark

Hadoop

AWS

Azure

GCP

PostgreSQL

SQL Server

Job description

About the Role

Our client, a leading analytics firm operating in Kimberley, Northern Cape , is seeking a talented and experienced Senior Data Engineer to join their growing team. This role is instrumental in building and maintaining robust, scalable data pipelines and infrastructure that support our client's advanced analytics and business intelligence initiatives. You will be responsible for designing, developing, and optimizing data models, ETL processes, and data warehousing solutions. The ideal candidate possesses a strong background in data architecture, extensive experience with big data technologies, and a passion for transforming raw data into valuable insights. This is a significant opportunity to shape the data landscape for a key organization in the Northern Cape, working with modern data technologies in a collaborative environment located in Kimberley . The hybrid work model offers flexibility.

Key Responsibilities

Design, build, and maintain scalable and reliable data pipelines (ETL/ELT). Develop and manage data warehouses and data lakes using cloud platforms. Optimize data models and database performance for analytical workloads. Collaborate with data scientists and analysts to understand data requirements and provide solutions. Implement data quality checks and monitoring processes. Ensure data security, privacy, and compliance with relevant regulations. Evaluate and integrate new data technologies and tools. Write efficient and maintainable code using languages like Python, SQL, or Scala. Troubleshoot and resolve data-related issues. Mentor junior data engineers and contribute to best practices.

Requirements

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related quantitative field. 5+ years of professional experience in data engineering or a related role. Proven experience designing and implementing ETL/ELT processes. Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, SQL Server). Hands-on experience with big data technologies (e.g., Spark, Hadoop) and distributed systems. Experience with cloud data platforms such as AWS (Redshift, S3, EMR), Azure (Data Factory, Synapse), or GCP (BigQuery, Dataflow). Proficiency in at least one programming language like Python, Scala, or Java. Familiarity with data warehousing concepts and best practices. Understanding of data modeling techniques. Excellent problem-solving and analytical skills. Strong communication and teamwork abilities.

Benefits

Our client offers a competitive salary package, commensurate with experience, along with performance-based bonuses. Comprehensive medical aid benefits and retirement fund contributions are provided. Opportunities for professional development include access to training, conferences, and certifications. The hybrid work model offers flexibility between office and remote work. Located in Kimberley , this role offers a chance to make a significant impact on data infrastructure for a growing company. Join our client and be at the forefront of data engineering in the Northern Cape.