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Data Engineer Job Opening In Auckland – Now Hiring Provoke Solutions


Job description

Join the dynamic team at Provoke, where we're not just about meeting expectations but exceeding them.
We're looking for innovative professionals who are passionate about driving exceptional outcomes for our customers.
At Provoke, you'll be empowered to challenge the status quo and encouraged to think differently, leveraging a growth mindset to deliver tangible results.
Here, professional growth isn't just a concept-it's a reality, fueled by continuous learning and a supportive, forward-thinking environment.
If you're ready to make a significant impact and grow alongside a team of like-minded individuals, Provoke is your destination.
What we do
We build bespoke software using modern technologies and are on a mission to help our clients flourish with smart solutions to solve their business needs.
The Provoke Experience
We are committed to building high performing teams and offer tangible rewards to ensure that effort is recognized.
We are dedicated to providing an enriching environment and learning opportunities for our employees to grow within and fast track their careers.
We are focused on diversity diversity in race, gender, orientation and experience.
Job Overview
As a Data Engineer, you will be responsible for designing, developing, and managing scalable data pipelines that feed into our data lake using MS Fabric.
You will work closely with our Lead Data Engineer, analysts, and other stakeholders to ensure that the data infrastructure supports both current and future needs.
Your role will involve integrating various data sources, ensuring data quality, and building a robust, scalable data lake architecture.
Key Responsibilities
Design, implement, and manage data lake solutions using MS Fabric.
Develop and maintain data pipelines to extract, transform, and load (ETL) data from various structured and unstructured sources.
Collaborate with cross-functional teams to understand data requirements and ensure seamless integration of new data sources into the data lake.
Optimize data storage and retrieval processes to improve performance and scalability.
Ensure the integrity, security, and availability of the data lake by implementing best practices in data governance and management.
Perform data profiling, cleansing, and transformation to ensure data quality.
Monitor and troubleshoot data flows to ensure reliable operation of the data pipelines.
Stay up to date with the latest trends and technologies in data engineering, particularly in relation to MS Fabric and data lake architectures.
Requirements
Proven experience as a Data Engineer, with a strong focus on data lake architecture and development.
Hands-on experience with MS Fabric and building data lakes.
Proficiency in data integration techniques for structured and unstructured data from multiple sources (e.g., APIs, databases, cloud services).
Strong programming skills in Python, SQL, or other relevant languages.
Experience with cloud platforms like Azure, AWS, or Google Cloud for data storage and processing.
Solid understanding of data warehousing, ETL processes, and big data technologies.
Strong experience with Power BI and DAX for data visualization
Knowledge of data governance principles and practices.
Strong problem-solving skills with attention to detail.
Excellent communication and collaboration skills.
Preferred
Experience with additional data tools and platforms, such as Apache Spark, Hadoop, or Databricks.
Familiarity with machine learning workflows and model deployment in data lake
Experience working in Agile or DevOps environments.
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Required Skill Profession

Other General


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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 Auckland, New Zealand, highlighting market share and opportunities for professionals in Data Engineer roles.

14175 Jobs in New Zealand
14175
1921 Jobs in Auckland
1921
Download Data Engineer Jobs Trends in Auckland and New Zealand

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 Provoke Solutions 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 New Zealand 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 Auckland. 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 Other General 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

Provoke Solutions 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 Provoke Solutions'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 Provoke Solutions, 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 Provoke Solutions'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!

How to Set Up Job Alerts for Data Engineer Positions

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