Senior Data Engineer
Senior Data Engineer
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1 Vacancy
Job Description
We 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 fastpaced 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 cuttingedge tools like ControlM 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 handson 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.
Requirements
Required Skills & Experience:
- Minimum 5 years of experience as a Data Engineer or in a similar datafocused 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 ControlM for job scheduling and workflow automation.
- Handson 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 problemsolving abilities.
- Excellent communication skills and ability to work with crossfunctional 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.
Required 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.
Employment Type
Full Time
