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Data Platform Engineer Job Opening In WorkFromHome – Now Hiring HSO


Job description

At HSO/Aware, we pride ourselves on being specialists in emerging tech and our rapid growth in the ANZ region means we are now looking for a permanent full-time Data Platform Engineer (40 hours per week).

Much like emerging tech is continually evolving and growing, so are our team members.

We have cool partners that bring us awesome projects, meaning that every day is a little different and provides an opportunity to learn new skills - check out our website and LinkedIn to learn about fun stuff we've done recently (at least the stuff we can talk about!).

Overview

About our team:

  • Our customers come from all walks of life, and so do our team.

    We love learning about each other's backgrounds and interests and cherish differing views on the world as they help us to understand others more.

  • We're an oddly-mixed bunch, but we have a couple of qualities in common: our people are highly intelligent and extremely passionate about delivering world-class solutions that hold high value to our customers.

  • Banter is weaved in the fabric of our being.

    Since day one we've had a Teams Banter channel and it is used regularly.

  • Personal lives and wellbeing matter…a lot.

    When our people thrive, we thrive so we go a step above to support our team members and ensure they're taken care of.

  • We have great people who want to be the best.

    We are a tight-knit team who genuinely care for each other’s personal and professional success.

Responsibilities

You'll be working within our professional services team delivering exciting data projects for customers.

Specifically, here's a bit more detail on what it takes to be a match for this role:

  • Minimum 3 years relevant experience in Data Engineering, particularly in modern cloud data platforms like Azure Purview, Azure Databricks, Azure Data Factory, Azure Synapse Analytics, Power BI or their equivalents.

  • Ideally, experience in a consulting environment with demonstrated ability to manage multiple deadlines at once.

  • Experience in building cloud systems that collect and wrangle raw data to surface information to downstream reporting or AI workloads.

  • Experience in building ETL data integration using tools such as Spark, Python or equivalent.

  • Demonstrated ability to work at pace with multiple priorities.

    Ideally, you've worked in a consulting environment previously to show this.

  • Good interpersonal skills and the confidence to work directly with clients to understand and meet their needs.

  • Strong learning agility with the ability to reason and problem-solve across a range of data domains.

  • Ability to contribute towards transforming business ideas into technical architecture and data platform solutions, and to explain those to non-technical audiences.

  • An eagerness to expand your understanding into other areas of emerging tech including Machine Learning, Software, Infrastructure, and IoT.

Benefits

Additional perks:

  • Awesome and exciting work (AKA ongoing learning opportunities).

    Our recent staff survey said that this was a key thing our team loves about Aware and the good news is it's not something we're ever looking to change.

  • Trust and honesty.

    We upskill our leaders in things like emotional intelligence, empathy, and courageous conversations.

  • Flexible working.

    You are the master of your own calendar; make it work to achieve both your personal and professional outcomes.

    Whether you want to work from the office or work from home we're up for it.

  • Awesome tech to play with.

    We get to work with lots of advanced robotics and toys that most people won't get to see for years.

  • We're serious about work-life balance.

    We don’t really like people working overtime, but if you do, we track time-in-lieu to ensure you’re paid for every hour you work.

  • Fuel for productive brains.

    Think snack drawers, espresso machines, team lunches, and being treated to home baking possibly too often
  • All the standard niceties you expect from a shiny modern office space - ergo desks, great tech set up for each team member, cool demos to show off and some greenery to keep it zen.

If you have questions at any point (including before applying), reach out to Anna Burns Please submit applications via the advert so we can ensure they get actioned quickly.

#J-18808-Ljbffr

Required Skill Profession

Software Architecture & Engineering


  • Job Details

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Unlock Your Data Platform Potential: Insight & Career Growth Guide


Real-time Data Platform 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 Platform in WorkFromHome, New Zealand, highlighting market share and opportunities for professionals in Data Platform roles.

2877 Jobs in New Zealand
2877
1823 Jobs in Workfromhome
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Download Data Platform Jobs Trends in Workfromhome and New Zealand

Are You Looking for Data Platform Engineer Job?

Great news! is currently hiring and seeking a Data Platform 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 HSO 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 Platform Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in WorkFromHome. 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 Platform Engineer?

Key qualifications for Data Platform Engineer typically include Software Architecture & Engineering 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 Platform Engineer?

To improve your chances of getting hired for Data Platform 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 Platform Engineer Job Success

HSO interview tips for Data Platform Engineer

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

Before the Interview:

Research: Learn about the HSO'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 Platform Engineer interview at HSO, 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 HSO'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 Platform Engineer Positions

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