Job Description

Job SummaryWe are seeking a highly skilled Senior Data Engineer to join our client's dynamic team, playing a pivotal role in driving data strategy and engineering excellence across the organization. This is a fantastic opportunity for a seasoned professional who thrives on solving complex data challenges and building robust, scalable data pipelines in a fast-paced, collaborative environment.In this role, you'll leverage your deep expertise in SQL, Python, and AWS to integrate and optimize data flows from diverse sources. You'll also work with cutting-edge tools like Control-M to automate workflows and ensure seamless data operations. If you're passionate about data integrity, automation, and delivering impactful solutions, this position offers the perfect platform to advance your career.Ideal candidates will bring over five years of hands-on experience, a sharp analytical mindset, and a strong commitment to data quality and operational efficiency. Experience in the financial services sector and familiarity with data governance frameworks (e.g., GDPR, POPIA) will be highly regarded.RequirementsRequired Skills & Experience:

• Minimum 5 years of experience as a Data Engineer or in a similar data-focused role.

• Proficient in SQL, with proven experience in data integration from multiple sources.

• Experience with AWS services, especially Redshift, S3, and related data tools is a plus

• Practical experience with Control-M for job scheduling and workflow automation.

• Hands-on expertise in Python for data manipulation and automation scripting.

• Familiarity with file trail handling and tracking in enterprise data environments.

• Experience in developing automated data pipelines and frameworks.

• Strong analytical and problem-solving abilities.

• Excellent communication skills and ability to work with cross-functional teams.

• Exceptional attention to detail and commitment to maintaining data accuracy and integrity.

Desirable:

• Experience within the banking or financial services industry.

• Knowledge of data governance frameworks and compliance practices (e.g., POPIA, GDPR).

• Familiarity with version control tools (e.g., Git) and CI/CD pipelines.

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