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Data Engineer Position in Johannesburg - Level-Up


Job description

We are seeking a skilled Data Engineer to design, develop, optimize, and manage robust, highly available data analytics infrastructure, reports, and data models.

This role drives the delivery of high-quality data analytics solutions for data ingestion, storage, consumption, and management to generate actionable insights.

Reporting to the Technical Team Lead and Software Development Manager, you will play a critical role in advancing our data capabilities.

Key Responsibilities

  • Data Pipeline Development : Build and maintain scalable data pipelines for efficient data ingestion, processing, and storage.

  • ETL Processes : Develop and automate ETL workflows to integrate data from diverse sources seamlessly.

  • Database Management : Manage SQL and NoSQL databases to handle structured and unstructured data effectively.

  • Data Quality Assurance : Ensure data integrity, consistency, and security through proactive monitoring.

  • Collaboration : Partner with data scientists, analysts, and software engineers to enable data-driven decision-making.

  • Documentation : Create clear, detailed documentation for data workflows, architectures, and processes.

  • Performance Optimization : Enhance database performance through tuning, query optimization, and indexing.

  • Cloud & Big Data Technologies : Support and expand expertise in cloud-based platforms like AWS, Azure, or Google Cloud.

Key Performance Indicators

  • Pipeline Efficiency : Percentage of data pipelines executed on schedule.

  • Data Accuracy : Reduction in data errors and inconsistencies.

  • ETL Performance : Improved speed and efficiency of ETL processes.

  • Query Performance : Reduced database query response times.

  • Collaboration Success : Number of effective collaborations with data scientists and analysts.

  • Code & Documentation Quality : Adherence to coding standards and comprehensive documentation.

Qualifications & Experience

  • Bachelors or Honours Degree in Engineering, Data Science, Computer Science, or Information Systems.

  • 3 -5 years in data engineering, analytics, or data management roles.

  • 3+ years working with sales, channel, or business development teams.

  • 3+ years delivering customer-facing projects.

  • 3+ years in the cybersecurity industry.

  • 3+ years using agile methodologies for project delivery.

Systems & Proficiency

  • Certification in AWS, Microsoft, or other Business Intelligence technologies.

  • Expertise in Databricks and Python Notebooks.

  • Advanced skills in Power BI, DAX, Advanced Excel, Python, SQL Server, and SQL Scripting.

  • Proficiency in creating technical architectures, entity relationship diagrams, and process flow diagrams.

  • Strong command of Microsoft Office.

Skills & Competencies

  • Ability to manage multiple programs, balancing strategic planning with fast-paced execution.

  • Strong communication, negotiation, and consensus-building skills with stakeholders and teams.

  • Exceptional presentation skills, comfortable presenting to executive leadership.

  • Superior analytical, organizational, and time-management abilities.

  • Thrives in high-pressure environments and adapts quickly to new skills.

  • Trusted to handle confidential information with discretion.

  • Self-motivated, team-oriented, with a structured approach and proactive ownership of tasks.

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Required Skill Profession

Database, Analytics & Bi


  • Job Details

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Unlock Your Data Engineer Potential: Insight & Career Growth Guide


Real-time Data Engineer Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Engineer in Johannesburg, South Africa, highlighting market share and opportunities for professionals in Data Engineer roles.

33677 Jobs in South Africa
33677
3353 Jobs in Johannesburg
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Download Data Engineer Jobs Trends in Johannesburg and South Africa

Are You Looking for Data Engineer Job?

Great news! is currently hiring and seeking a Data Engineer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Level-Up adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying South Africa laws and regulations

What Is the Average Salary Range for Data Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Johannesburg. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data Engineer?

Key qualifications for Data Engineer typically include Database, Analytics & Bi and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Data Engineer?

To improve your chances of getting hired for Data Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Data Engineer Job Success

Level-Up interview tips for Data Engineer

Here are some tips to help you prepare for and ace your Data Engineer job interview:

Before the Interview:

Research: Learn about the Level-Up's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Engineer interview at Level-Up, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Level-Up's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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