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Project And Data Engineer

Boltfast (Pty) Ltd

Cape Town

On-site

ZAR 300 000 - 400 000

Full time

Today
Be an early applicant

Job summary

A leading distributor in industrial fasteners is seeking a highly skilled Project and Data Engineer based in Cape Town. In this role, you will analyze complex data sets, generate insights for decision-making, and collaborate with cross-functional teams to improve operational efficiency. Candidates should hold a Bachelor's degree in Engineering or a related field, with proficiency in data analysis tools. A competitive remuneration package, including pension fund membership, is offered.

Benefits

Membership to Company pension fund
Life insurance
Funeral cover

Qualifications

  • Bachelor's degree in Engineering, Data Science, Statistics, Business Analytics, or a related field.
  • Proven experience in data analysis, business intelligence, and data visualization.
  • Strong analytical mindset with the ability to translate data into actionable insights.

Responsibilities

  • Analyse complex data sets to identify trends and opportunities.
  • Generate data-driven insights and reports.
  • Collaborate with teams to develop data-driven strategies.

Skills

Data analysis expertise
Business intelligence
Data visualization
Proficiency in Excel
Proficiency in SQL
Proficiency in Power BI
Effective communication
Interpersonal skills

Education

Bachelor's degree in Engineering or related field

Tools

Excel
SQL
Power BI
Job description
POSITION :

Project and Data Engineer
BRANCH : Head Office, Epping, Cape Town
BOLTFAST, a leading distributor of Industrial Fasteners, is looking for a highly skilled and motivated Project and Data Engineer to join our team.

Responsibilities:
  • Analyse complex data sets to identify trends, patterns, and opportunities for operational and engineering improvement.
  • Generate data‑driven insights and reports to inform decision‑making at various levels of the organization.
  • Collaborate with cross‑functional teams to develop and implement data‑driven strategies aligned with company objectives.
  • Assist in the development and maintenance of data visualization tools and dashboards for performance monitoring.
  • Work closely with the Engineering and Project Manager and data team to provide data‑driven recommendations for process optimization.
  • Identify and communicate key performance indicators (KPIs) and metrics to track departmental performance.
  • Contribute to the development of business intelligence solutions that enhance operational efficiency and effectiveness.
Requirements:
  • Bachelor's degree in Engineering, Data Science, Statistics, Business Analytics, or a related field.
  • Proven experience in data analysis, business intelligence, and data visualization.
  • Proficiency in data analysis tools and software (e.g., Excel, SQL, Power BI).
  • Strong analytical mindset, with the ability to translate data into actionable insights.
  • Effective communication skills to convey complex data findings to non‑technical stakeholders.
  • Excellent interpersonal skills, with the ability to communicate effectively and build positive relationships with team members and stakeholders.
  • Above‑average command of English is required.
  • Ability to work independently and take ownership of assigned tasks, demonstrating self‑motivation and the ability to meet deadlines.
  • Proactive attitude with a willingness to take initiative and contribute innovative ideas to improve processes and outcomes.
  • Strong personal qualities, including honesty, reliability, responsibility, trustworthiness, and maturity.
  • A market related remuneration package is offered based on experience, which includes membership to the Company pension fund, life insurance and funeral cover.
  • Closing date for applications: 30 November
  • Applications must be submitted via email to Lesley Pascoe.

Should you not be contacted within 4 weeks of the closing date, it may be accepted that your application has not been successful.
In accordance with the company's Employment Equity plan, preference will be given to candidates from the appropriate groups.

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