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Senior Data Engineer

KPMG is one of the most trusted and respected global professional services firms. Through depth of expertise, clarity of insight and strength of purpose we help our clients solve complex problems, steer change, strengthen, transition and grow. We are looking for talented people who share our purpose of inspiring confidence and empowering change for our clients, our people and our communities.

 

The consulting environment at KPMG is dynamic and fast-paced, offering diverse opportunities to work on challenging projects with leading organisations across various industries. As a consultant at KPMG, you will be part of a collaborative team that provides strategic insights and innovative solutions to help clients address complex business issues and drive growth. You will work with experienced professionals who are committed to delivering high-quality services and fostering a culture of continuous learning and professional development.


The opportunity:
  • We are seeking a highly skilled and experienced Associate Director, Senior Data Engineer to join our dynamic team. In this role, you will lead the data engineering development lifecycle, working closely with clients to understand their data challenges and architecting, developing, and implementing robust data pipelines to deliver high-quality solutions. As part of One Digital Consulting, you will play a crucial role in developing data-driven solutions that address our clients' toughest challenges.


Day to day you will:
  • Lead the design, build, and maintenance of data pipelines, data models, advanced analytical models, and data-driven solutions on cloud-based platforms, particularly Microsoft Azure and AWS.
  • Collaborate with client and engagement teams to deliver high-quality outcomes, ensuring a deep understanding of client requirements and providing innovative solutions.
  • Work closely with other teams within One Digital Consulting, providing expertise, support, and knowledge sharing to enhance overall project delivery.
  • Identify and proactively respond to new business opportunities, contributing to account management and developing awareness of client organizations and their needs.
  • Continuously seek ways to improve data engineering processes, tools, and frameworks, driving innovation and excellence in project delivery.


What you'll bring to the team:
  • Extensive experience in designing and implementing robust, innovative data and digital solutions using various programming languages such as SQL, Python. Knowledge of Java, Scala, and C# is a plus.
  • Hands-on with cloud platforms such as Azure, AWS, or Google Cloud.
  • Proficiency with version control (Git) and expertise in Continuous Integration and Continuous Delivery (CI/CD).
  • Competence in managing, processing, and visualizing data using Snowflake, Google BigQuery, Databricks, Azure Synapse, PowerBI, or Tableau is preferred.
  • Knowledge or experience with Data Modelling, containerization (Docker), API Development, and Infrastructure as Code tools (Terraform, Pulumi, AWS Cloud Formation, Bicep)
  • Proven ability to support and work with cross-functional teams in a dynamic environment, translating business issues into data and digital solutions.
  • A can-do attitude with an agile mindset and a willingness to learn, coupled with excellent facilitation and collaboration skills to operate effectively in a flexible, team-oriented environment.


Recruitment Agencies: The recruitment for this role is being managed directly by the KPMG Talent Acquisition team. We will contact our preferred agency partners if we require agency assistance. Thank you for your understanding.


Life at KPMG


KPMG values diversity in the workforce and we encourage candidates from diverse backgrounds to apply for roles, including individuals with a disability, additional mental health needs, chronic health conditions or who identify as neurodivergent. 


For disabled and neurodiverse candidates, if you encounter accessibility barriers or if you have access needs and require support to participate equitably in the recruitment process, please phone Enya van Dulm on 04 816 4660 or email KPMGAccessibilityNetwork@kpmg.co.nz


We offer rewarding careers to talented individuals and a holistic range of benefits to support your life balance, whatever your circumstance. We want you to do Work That Matters, Thrive and Grow and know that you Belong here with us, at KPMG. 


As a KPMG employee, we will offer you:

 

—  Access to the firm's annual incentive scheme

—  Opportunities for local and international secondments

—  Hybrid working across a mix of office, client and home hubs to recognise that people have individual circumstances and preferences when it comes to where and how they work

—  Flexible leave options, including the ability to purchase additional annual leave

—  Gender-neutral support for all stages of the parental journey, including access to 18 weeks of fully paid parental leave for all new parents

—   A paid professional association membership of your choice

—   Digital accreditations through our partnership with Microsoft, LinkedIn Learning, with bespoke learning pathways for all employees

—   A wide-range of special offers and discounts on insurances, banking services, and lifestyle goods and services

—   The support, allyship and opportunity to join our many Inclusion, Diversity and Equity Affinity networks, including the Kiwa, Pride, Ethnicity, Accessibility and Wahine groups

—  The opportunity to participate in Green Team activities, as we work toward reducing the firm’s environmental footprint and become carbon zero by 2030

—  An invitation to join your local Social club and enjoy events aimed at bringing people together for social, sporting, cultural, family and fundraising activities

—  Paid time off for volunteering and involvement in citizenship activities

—  An array of health and wellness benefits such as free flu vaccinations, subsidised sporting events, free confidential counselling services, additional 5 days of Wellbeing leave to support you and your family's overall health and wellness, access to our Wellbeing portal with an extensive range of advice and resources and much much more!

 

We believe that diversity of background and experience strengthens relationships and delivers meaningful benefits to our people, clients and communities. Our goal is to be recognised as an employer of choice for all, irrespective of gender, ethnicity, generation, flexible work status, family circumstances, sexual orientation or disability. Further info can be found on our website.

Average salary estimate

$120000 / YEARLY (est.)
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$100000K
$140000K

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What You Should Know About Senior Data Engineer, KPMG New Zealand

At KPMG, one of the world’s leading professional services firms, we're on the lookout for a passionate and skilled Senior Data Engineer to join our vibrant team. In this exciting role, you'll not only lead the data engineering development lifecycle but also collaborate with our clients to tackle their most pressing data challenges. Imagine architecting and implementing innovative data pipelines that drive transformative solutions for various industries! Working with cloud platforms like Microsoft Azure and AWS, you will be responsible for the design, maintenance, and optimization of data models and analytics frameworks. Your prowess in programming languages such as SQL and Python will be instrumental in delivering high-quality data solutions. We foster a dynamic consulting environment where teamwork is essential, and your insights will help propel client success while also enhancing your own professional journey. As a Senior Data Engineer at KPMG, you will also engage in continuous learning, share knowledge, and contribute to a culture of innovation and excellence. Whether it's managing data visualization tools like PowerBI or engaging in API development, your contributions will be pivotal. And beyond the technical skills, we are looking for someone with a can-do attitude and a collaborative spirit who can thrive in our flexible, team-oriented environment. Join us, and together, we'll deliver insights that inspire confidence and empower change for our clients!

Frequently Asked Questions (FAQs) for Senior Data Engineer Role at KPMG New Zealand
What are the primary responsibilities of a Senior Data Engineer at KPMG?

As a Senior Data Engineer at KPMG, you will lead the data engineering development lifecycle, focusing on designing, building, and maintaining robust data pipelines. Collaborating closely with clients and engagement teams, you'll translate complex business requirements into innovative data solutions, ensuring the delivery of high-quality outcomes while utilizing cloud platforms like Azure and AWS.

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What qualifications and skills are required for the Senior Data Engineer position at KPMG?

Candidates for the Senior Data Engineer role at KPMG should have extensive experience in designing and implementing data solutions. Proficiency in programming languages such as SQL and Python is crucial, along with hands-on experience with cloud platforms. Familiarity with data visualization tools, CI/CD practices, and a proactive mindset are also essential to excel in this position.

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What tools and technologies do Senior Data Engineers at KPMG primarily work with?

Senior Data Engineers at KPMG typically work with a range of tools and technologies, including Microsoft Azure, AWS, SQL, Python, and data visualization platforms like Tableau or PowerBI. Familiarity with data modeling, containerization (Docker), and Infrastructure as Code tools can also be beneficial in this dynamic role.

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How does KPMG promote professional development for Senior Data Engineers?

At KPMG, professional development is a core value, especially for Senior Data Engineers. The firm offers access to digital accreditations through partners like Microsoft, learning pathways through LinkedIn Learning, and opportunities for local and international secondments, ensuring continuous skill enhancement in an evolving industry.

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What is the work environment like for a Senior Data Engineer at KPMG?

The work environment for Senior Data Engineers at KPMG is collaborative and fast-paced, emphasizing teamwork and innovation. Employees are encouraged to contribute to diverse projects across industries while enjoying flexible working arrangements that accommodate individual needs and preferences.

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Common Interview Questions for Senior Data Engineer
Can you describe your experience with data pipeline architecture as a Senior Data Engineer?

When answering this question, highlight specific projects where you were responsible for designing and architecting data pipelines. Discuss the tools and technologies you used, such as cloud platforms, and how your work improved data accessibility or business insights.

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What programming languages are you proficient in for data engineering, and why are they important?

Focus on programming languages like SQL and Python, which are crucial for data manipulation and analysis. Explain how each language contributes to efficient data management and the development of scalable solutions within your projects.

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How do you ensure data quality in your engineering processes?

Discuss the methodologies and tools you implement to maintain data quality, such as automated testing and validation processes. Share examples of how maintaining high data quality benefited previous projects.

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Describe a time when you collaborated with a client to address a data challenge.

Use a specific example to illustrate your problem-solving capabilities. Talk about how you gathered requirements, proposed solutions, and the positive outcomes of that collaboration.

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What cloud platforms have you worked with, and what are their advantages?

Mention your experience with Azure, AWS, or Google Cloud Platform. Discuss the unique features of each platform that enhance data engineering processes and how you have leveraged them in your projects.

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What is your experience with data visualization tools, and how do they benefit business decision-making?

Highlight your proficiency with tools like PowerBI or Tableau, explaining how these tools enable stakeholders to gain insights from complex data sets and drive informed decision-making.

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How do you stay current with the latest trends and technologies in data engineering?

Share your approach to continuous learning through online courses, webinars, and attending industry conferences. Mention any relevant certifications or trainings you’ve completed recently.

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Can you explain the CI/CD process and its relevance to data engineering?

Provide an overview of the CI/CD process and how it applies to data engineering. Discuss how this methodology enhances collaboration and ensures smooth deployment of data solutions.

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What strategies do you use for effective team collaboration in data projects?

Emphasize the importance of clear communication and regular check-ins. Detail tools and methodologies you've used to facilitate collaborative efforts across cross-functional teams.

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What challenges have you faced as a Senior Data Engineer, and how did you overcome them?

Reflect on specific challenges related to project deadlines, stakeholder expectations, or technical hurdles. Discuss how you approached these challenges, focusing on creative solutions and adaptability.

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DATE POSTED
March 23, 2025

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