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Data Engineer

Company Description

Lendi Group is a market-leading digital platform business focused on transforming the home loan industry. It operates the country’s #1 retail mortgage broker – the iconic Aussie Home Loans franchise – and the Australia’s #1 digital mortgage brand, Lendi.

Together, with its national network of 1,300 brokers and 230 retail stores, the Lendi Group brands give all Australians the power of choice, and confidence, in one of life’s biggest financial decisions.

Building on this market-leading foundation, Lendi Groups vision is to be the undisputed place for Australians to buy and own property through our new Aussie Homes propositions.

Lendi Group’s loan book is more than $100b and it was named Australia’s Aggregator of the Year for 2024

Diversity, Equality, and Inclusion are fundamental to the success of Lendi Group. We’re passionate about fostering an environment where our team members feel valued and supported and we celebrate everyone’s unique identity.

To learn more about life at Lendi Group check out our blog: https://www.lendi.com.au/inspire/category/life-at-lendi/

About the role

Ready to Roll Up Your Sleeves and Shape the Future of Data? Join Lendi Group’s Data Engineering Team!

At Lendi Group, we're revolutionising the mortgage and property industries by harnessing the power of data to drive smarter decisions, expand our product offering, and deliver unparalleled value.

As part of our ambitious journey, we’re looking for a Mid-Level Data Engineer who’s not afraid of the grind, loves problem-solving, and thrives under pressure. If you're ready to roll up your sleeves and be a key player in transforming our data infrastructure and products, we want to hear from you.

Job Description

  • Problem Solver at the Edge: You’ll be working in a fast-paced, dynamic environment where your ability to tackle and resolve complex challenges will be put to the test daily. From brownfield to greenfield, you’ll play a pivotal role in migrating and optimizing our tech stack while supporting mission-critical projects that drive our future.
  • Data Engineering and ETL Magic: You’ll craft, maintain, and optimise ETL pipelines using SnowflakeDBT CloudFivetran. Your expertise will help streamline and innovate our data processes and empower our teams with actionable insights through MS Fabric.
  • Quality and Governance Guru: You’ll ensure the reliability, quality, and governance of our data, making sure everything from data models to pipelines runs like clockwork. Your focus will be on data integrity—because in our world, precision is everything.
  • Collaborative Innovator: Join a collaborative, cross-functional team that’s committed to delivering data solutions at the highest standards. You’ll work closely with engineers, data scientists, analysts, and other key stakeholders to help shape the future of data at Lendi Group, including our AI Disrupt team.

Qualifications

  • 3+ Years Experience: You’ve got hands-on experience with data engineering and a solid understanding of data models, pipelines, and ETL processes.
  • SQL & Python Skills: You're fluent in SQL scripting  and have a strong command of Python (bonus points if you’ve worked with Airflow).
  • Cloud & Tooling Experience: Experience with SnowflakeDBTFivetran, and MS Fabric (PowerBI) is ideal. Bonus if you’ve worked with AWS tools like S3.
  • DevOps & Best Practices: You understand DevOps principles, infrastructure as code, and how to implement data solutions in an efficient, scalable way.
  • Passion for Data: You live and breathe data governance, quality, and reliability, ensuring that every bit of data you touch adheres to the highest standards.

Additional Information

We support our people in a variety of ways, but a few of the benefits that that out people rave about include: 

  • A vibrant, relaxed, yet professional culture 
  • Wellness initiatives with a strong focus on psychological safety 
  • We offer generous Paid Parental Leave: we celebrate our growing Lendi Group family with 18-26 weeks leave for primary carers and up to 4 weeks for secondary carers 
  • An additional week’s Loyalty Leave each year after reaching 3 years’ service 
  • A 24/7 Employee Assistance Program service providing counselling and support 

 

We are a people-first company that invests in initiatives to promote a healthy work environment, such as offering an Employee Assistance Program and social groups such as our industry-leading Women in Technology group.

Our culture is guided by our 3 core values: We Are Stronger United; Act Like You Own It; and Keep Home Loans Human. Our values are part of our core DNA that helps Lendi Group to attract, engage and evolve the right talent and build best-in-class products.

Feeling like you don’t meet all the skills listed? That’s ok; we are always on the lookout for different skills, experience, and qualities and so we’d still like to hear from you.

#Lendigroup #LI-GR2 #LI-Hybrid

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CEO of Lendi Group
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David Hyman
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Average salary estimate

$105000 / YEARLY (est.)
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$90000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Engineer, Lendi Group

Join Lendi Group as a Mid-Level Data Engineer and embark on an exciting journey to revolutionize the mortgage and property industries through innovative data solutions! At Lendi Group, we're all about transforming the home loan experience for Australians, and your role as a Data Engineer will be crucial in shaping the future of our data infrastructure. In this dynamic role, you'll tackle complex challenges within a fast-paced environment. If you're passionate about problem-solving and thrive under pressure, we want you on our team! You'll be responsible for crafting and optimizing ETL pipelines using tools like Snowflake, DBT Cloud, and Fivetran, all while ensuring the highest data quality standards. As a collaborative innovator, you'll engage with engineers, data scientists, and analysts to deliver data solutions that make real impact. If you have over three years of experience in data engineering, a strong command of SQL and Python, and a passion for data governance and quality, then Lendi Group is the perfect fit for you. Here, we foster a supportive culture that values diversity and inclusion, ensuring every team member feels valued. With excellent benefits, including generous parental leave and wellness initiatives, Lendi Group is committed to your personal and professional growth. So, if you're ready to roll up your sleeves and help us change the way Australians approach home loans, don't hesitate to apply and be part of our mission!

Frequently Asked Questions (FAQs) for Data Engineer Role at Lendi Group
What are the key responsibilities of a Data Engineer at Lendi Group?

As a Data Engineer at Lendi Group, you will be responsible for solving complex data challenges, optimizing and maintaining ETL pipelines, and ensuring data quality and governance across our infrastructure. Your role will involve working closely with cross-functional teams, developing data models, and deploying innovative data solutions that empower our organization.

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What qualifications do I need to apply for the Data Engineer position at Lendi Group?

To apply for the Mid-Level Data Engineer position at Lendi Group, candidates should have a minimum of 3 years of hands-on data engineering experience, strong skills in SQL and Python, and familiarity with data tools like Snowflake, DBT Cloud, and Fivetran. Additionally, an understanding of DevOps principles and a passion for data governance are essential.

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How does Lendi Group support the professional development of its Data Engineers?

Lendi Group prioritizes the personal and professional growth of its employees, including Data Engineers. With various wellness initiatives, a strong focus on psychological safety, and commitment to a supportive culture, we encourage continuous learning and provide opportunities for team members to advance their skills and careers in data engineering.

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What tools and technologies should I be familiar with for the Data Engineer role at Lendi Group?

Candidates for the Data Engineer position at Lendi Group should be comfortable with technologies such as Snowflake, DBT Cloud, Fivetran, and MS Fabric (PowerBI). Familiarity with AWS tools like S3 and experience utilizing Airflow for workflows would be advantageous.

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What is the team culture like for Data Engineers at Lendi Group?

At Lendi Group, the culture for Data Engineers is vibrant, relaxed, yet professional. We emphasize collaboration within our cross-functional teams and value diversity, which encourages innovative thinking and problem-solving in a supportive environment. We believe that our core values shape our approach to work and employee engagement.

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Common Interview Questions for Data Engineer
Can you explain your experience with ETL processes as a Data Engineer?

In answering this question, focus on detailing specific ETL tools you’ve used, such as Snowflake or DBT, and describe a project where you optimized the ETL pipeline. Highlight your problem-solving skills and how your contributions led to improved data quality or reduced processing time.

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How do you ensure data quality and governance in your data engineering work?

Discuss your approach to implementing data governance practices, including any frameworks or tools you’ve employed. Emphasize the importance of data integrity and how you monitor data flows and establish protocols to maintain high standards.

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Describe a time when you faced a challenging data issue. How did you resolve it?

Use the STAR method (Situation, Task, Action, Result) to describe a specific scenario, the challenge you faced, the steps you took to address it, and the outcome. Emphasize your analytical skills and teamwork if applicable.

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What programming languages do you prefer to use for data engineering, and why?

Highlight your proficiency in SQL and Python, explaining why you favor these languages for data manipulation and ETL tasks. Discuss any specific projects where your programming skills made a considerable impact.

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How do you stay current with emerging technologies in data engineering?

Share resources you utilize such as online courses, industry forums, or tech blogs. Discuss any recent technologies or trends in data engineering you are exploring and how they could apply to your role.

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What is your experience with cloud platforms in data engineering?

Describe your experience with cloud platforms like AWS, Azure, or Google Cloud, particularly focusing on any tools and services you’ve used, such as AWS S3 or Azure Data Lake. Mention how these experiences have equipped you to handle data at scale.

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How do you approach working in a collaborative team environment?

Discuss your philosophy on collaboration, including communication strategies you use to engage effectively with team members. Provide examples of successful collaborations that resulted in innovative data solutions.

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What challenges do you think the data engineering industry is facing today?

Discuss industry trends such as data privacy concerns, the need for real-time data processing, or the impact of AI and machine learning on data engineering. Share insights on how you think these challenges could be addressed.

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Can you describe your experience with DevOps in relation to data engineering?

Highlight how your understanding of DevOps principles has influenced your work in data engineering. Discuss any specific tools or practices you use to implement CI/CD pipelines or infrastructure as code in your data projects.

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What do you find most rewarding about being a Data Engineer?

Speak to your passion for data and how you enjoy the process of transforming raw data into actionable insights. Share stories about projects that you found particularly fulfilling and how they impacted stakeholders or the organization.

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We are one of Australia’s fastest growing fintechs, building market leading technology to transform the home loan industry through our powerhouse property brands and networks - Aussie and Lendi . Lendi Group exists to transform the stressful, dis...

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March 25, 2025

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