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Data Engineer

About us:

At Bluestone, we believe home loans should be simple, personal and able to meet borrowers’ changing financial needs and our mission is to be the most successful non-bank lender in Australia. Since 2000, we have provided customers with tailored solutions for their diverse financial circumstances, aligning with our vision to deliver outstanding home loan experiences. We’re a dedicated and passionate team of 230 professionals united by our unwavering commitment to our values: Making It Happen, Thinking Different, Owning It Like A Boss, Telling It As It Is, and being Better Together. These principles allow us to thrive as a team and support others in their journeys to grow and develop.

About the role:

It’s an exciting time to join one of the leading non-bank lenders in Australia as we embark on ambitious growth plans across the country. The Data Engineer will monitor data processing efficiency and propose solutions for improvements as well as identifying and investigating potential data quality issues and explore ways to improve data quality and reliability.

The Data Engineer supports our stakeholders in defining and rolling out the right data architecture, data platform and infrastructure that support their needs, implement and maintain automated data pipelines, and infuse data through business intelligence and analytics.

Working in an Agile environment and with cutting edge technologies, you will:

  • Deliver quality solutions aligned to strategic priorities
  • Have a strong business understanding of the financial sector (Banking, Insurance or Capital markets)
  • Share your experience by coaching Junior team members
  • Be expert in navigating your way through cloud computing services, such as Azure, AWS or GCP
  • Have a good overview of the data ecosystems and frameworks
  • Highly developed experience with lean/agile software development

This position offers plenty of opportunity for individual growth within a thriving business environment and interesting pipeline of work.

Your Experience:

Finding the right trade-offs between the performance, reliability, scalability, and cost of the data pipelines you implement, the Data Engineer will also:

  • Demonstrable experience working across various levels of data (SQL, ETL, Data Modelling).
  • Exposure to Cloud technologies (AWS) and data migration from legacy to Cloud.
  • Experience working with complex SQL queries and stored procs.
  • PowerBI or other BI reporting experience
  • Automated Data testing experience is desired
  • Ability to engage, inform and liaise with key stakeholders and work with multi-disciplinary teams.
  • Experience working within Agile projects and methodologies.
  • Understanding of the software testing life cycle in an agile environment.
  • Ability to work autonomously and drive outcomes
  • Highly developed communication skills
  • A computer degree, engineering degree or equivalent industry experience

What makes us a great place to work?

Our most important asset is our people. We’re committed to investing in our employees and offer a range of holistic perks and benefits to support individual needs. Our supportive and inclusive culture enables our people to grow and learn, to achieve their personal and professional goals, through collaboration and innovation. Some of our benefits include:

  • Hybrid working model and flexible hours
  • Flexible leave program (extra 5 days of leave awarded to employees who utilise their 20 annual days leave in the calendar year)
  • Paid study leave and volunteer day
  • Recognition program and annual bonus scheme
  • Mentoring and career progression opportunities
  • Wellness initiatives: monthly massages, fresh fruit delivered daily, and healthy breakfast options
  • Discounts on an array of products and services
  • 12 weeks of Paid Parental Leave for the primary caregiver and 2 weeks for the secondary carer, plus superannuation paid for up to 12 months
  • Employee Assistance Program
  • Modern offices in a CBD location

Next steps…

We appreciate the time you have taken to apply for a role with us. Bluestone is an equal opportunity employer and welcomes applications from individuals of all backgrounds. Our hiring decisions are based on your experience, skills, enthusiasm, and your future potential in the role. If you feel that you meet some, but not all the requirements above, we still encourage you to apply. If you are invited to an interview, please advise us if you require any reasonable adjustments during the interview process, and what pronouns you use.

Bluestone is committed to creating an inclusive and respectful workplace for all employees. Differences are embraced, contributions are valued, and everyone has a sense of connection and belonging. We welcome people with diverse skills, experiences, perspectives and backgrounds and encourage applications from Aboriginal or Torres Strait Islander peoples, and individuals who may identify as LGBTIQ, with disability, a culturally diverse background, and people of all ages.

Average salary estimate

$100000 / YEARLY (est.)
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$80000K
$120000K

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What You Should Know About Data Engineer, PARTALE

Join Bluestone as a Data Engineer and be part of a dynamic team that believes in making home loans simpler and more personal for borrowers throughout Australia. At Bluestone, we pride ourselves on delivering tailored financial solutions that meet the diverse needs of our customers. As a Data Engineer, you'll play a vital role in monitoring data processing efficiency while proposing solutions for improvements. Your responsibilities will include identifying data quality issues and exploring ways to enhance reliability through innovative strategies. Collaborating closely with stakeholders, you'll help define and roll out the right data architecture and infrastructure, ensuring that our business needs are met effectively. In this exciting position, you'll be utilizing cutting-edge technologies within an Agile framework, so having a strong command of cloud computing services like Azure, AWS, or GCP is essential. You will also get to share your expertise by mentoring junior team members, fostering a collaborative atmosphere. If you're passionate about data quality, automation, and building dependable data pipelines, then this is the opportunity for you. With endless possibilities for personal growth and a supportive work culture, Bluestone is committed to investing in your development. We believe our team is our most important asset, and we look forward to having you contribute to our success story while enjoying the array of benefits we offer, from hybrid work models to wellness initiatives. Come thrive with us at Bluestone!

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

As a Data Engineer at Bluestone, your key responsibilities include monitoring data processing efficiency, proposing enhancements, identifying potential data quality issues, and implementing automated data pipelines. You’ll collaborate with stakeholders to design the right data architecture, ensuring that business needs are met while infusing data into business intelligence and analytics.

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What qualifications are needed for the Data Engineer role at Bluestone?

To be considered for the Data Engineer role at Bluestone, candidates typically need a degree in computer science, engineering, or relevant industry experience. A demonstration of skills in SQL, ETL, data modeling, and exposure to cloud technologies like AWS is essential, along with excellent communication skills and experience with Agile methodologies.

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How does Bluestone support professional growth for Data Engineers?

Bluestone is committed to investing in its employees, offering mentorship, career progression opportunities, and various wellness initiatives. With a focus on personal development, Data Engineers can engage in additional study leave, attend training sessions, and receive generous parental leave benefits to support their careers.

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Can you describe the work environment for a Data Engineer at Bluestone?

At Bluestone, the work environment for a Data Engineer is dynamic and inclusive, focusing on collaboration. With a hybrid working model, flexible hours, and a strong commitment to diversity, you’ll be part of a supportive team that values individual contributions and aims to foster innovation within the financial sector.

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What technology stack is typically used by Data Engineers at Bluestone?

Data Engineers at Bluestone work with a technology stack that includes cloud services like AWS, Azure, or GCP, as well as tools for SQL, ETL processes, and business intelligence reporting platforms such as PowerBI. Familiarity with automated data testing tools and frameworks enhances your ability to deliver quality solutions in this role.

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Common Interview Questions for Data Engineer
What experience do you have with cloud technologies as a Data Engineer?

When answering this question, highlight specific cloud platforms you have worked with, such as AWS, Azure, or GCP. Discuss how you've used these tools to deploy data solutions or migrate data from legacy systems, emphasizing tangible outcomes you've achieved.

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Can you explain your approach to ensuring data quality?

To ensure data quality, outline your strategies for identifying data anomalies and setting up automated checks. Give examples of how you've implemented data validation during ETL processes and discuss tools or methodologies you have employed to maintain data integrity.

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How do you handle collaboration with non-technical stakeholders?

Emphasize your strong communication skills and ability to translate technical concepts into business terms. Provide examples of past experiences where you've successfully facilitated discussions or given presentations to stakeholders, ensuring alignment on data projects.

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Describe a complex SQL query you have written and its purpose.

Share a specific instance where a complex SQL query significantly impacted your analytics work. Discuss the challenge you faced, the logic behind your query, and how it contributed to the decision-making process in your previous role.

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What methodologies do you prefer for managing data pipeline automation?

Discuss your familiarity with Agile methodologies and how you've used them to manage automation projects. Talk about specific tools, frameworks, or practices like CI/CD that you've used to streamline data pipeline operations and enhance reliability.

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Can you give an example of a successful data project you led?

Outline a particular project where you took a leadership role, detailing your responsibilities, the technologies you employed, and the positive outcomes that resulted. Focus on any challenges faced and how you navigated them effectively.

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How do you stay updated with new data engineering technologies?

Explain your strategies for keeping abreast of industry advancements. This could include attending conferences, following key thought leaders on social media, engaging with relevant online communities, or completing certifications in emerging technologies.

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What is your experience with ETL processes?

Detail your experience with ETL processes, mentioning specific tools you’ve used, how you designed and optimized data workflows, and any challenges you faced during implementation. Highlight the importance of data extraction, transformation, and loading in your projects.

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How do you approach performance considerations in data pipelines?

Discuss your understanding of both performance and scalability in data pipelines. Provide examples of trade-offs you've had to make between performance, reliability, and cost during your implementations, along with the impact those decisions had on the final product.

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What role does data visualization play in your work as a Data Engineer?

Explain how data visualization aids in your data engineering work. Discuss the tools you've used for visualization, the types of insights you look to communicate to stakeholders, and the importance of presenting data in an easily digestible format.

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Inclusive & Diverse
Rise from Within
Mission Driven
Diversity of Opinions
Work/Life Harmony

We are seeking an experienced Data Governance Foundation Lead Analyst to spearhead data governance strategies at Citi.

MATCH
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FUNDING
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SENIORITY LEVEL REQUIREMENT
TEAM SIZE
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HQ LOCATION
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EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
February 20, 2025

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