About Company
Xero is a global small business platform with 3.5 million subscribers which includes a core accounting product and a marketplace of 1,000+ apps. We are proud to be an award-winning workplace and recognised as one of the world’s most innovative growth companies. Our people are the driving force behind our success, and we’re committed to fostering a diverse, inclusive, and supportive environment where everyone can thrive. We believe in making a difference for small businesses worldwide, empowering them to succeed with beautiful software. Join us in our mission to rewire the small business economy and help millions of businesses grow stronger through innovative technology and data-driven insights.
Job Description
Are you passionate about data and eager to kickstart your career in a dynamic, global tech company? Xero is seeking a highly motivated and curious Entry-Level Data Engineer to join our growing data team in Auckland. This is an incredible opportunity for a budding engineer to learn from experienced professionals, contribute to critical data infrastructure, and make a tangible impact on the future of small businesses globally.
At Xero, data is at the heart of everything we do. Our Data Engineers are responsible for designing, building, and maintaining the robust data pipelines and infrastructure that power our analytics, machine learning initiatives, and product features. As an Entry-Level Data Engineer, you will play a supporting role in these efforts, learning best practices in data warehousing, ETL/ELT processes, and big data technologies. You’ll work with diverse datasets, contributing to projects that provide actionable insights and drive business growth.
We are looking for someone with a foundational understanding of data concepts, strong problem-solving skills, and a genuine desire to learn and grow. You’ll be mentored by senior engineers, receiving guidance as you develop your technical skills and understanding of our complex data ecosystem. This role is perfect for recent graduates or individuals transitioning into a data engineering career who are keen to develop a deep understanding of cloud-based data platforms and scalable data solutions. If you’re a self-starter with a collaborative spirit, a keen eye for detail, and a commitment to quality, we encourage you to apply and help us continue to build beautiful software for small businesses around the world. Your contributions will help shape how our customers interact with their financial data, enabling smarter business decisions and fostering economic success.
Key Responsibilities
- Assist in the design, development, and maintenance of scalable data pipelines using various data processing frameworks.
- Collaborate with senior Data Engineers to understand data requirements and implement robust ETL/ELT solutions.
- Help monitor and troubleshoot data pipelines, ensuring data quality, reliability, and performance.
- Contribute to the documentation of data architecture, data models, and data flow processes.
- Participate in code reviews and contribute to the continuous improvement of our data engineering practices.
- Learn and apply best practices for data warehousing, data lakes, and cloud-based data platforms (e.g., AWS, GCP).
- Engage with data scientists, analysts, and product teams to understand their data needs and provide support.
- Support data governance initiatives by ensuring data integrity and adherence to compliance standards.
Required Skills
- Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field (or equivalent practical experience).
- Foundational understanding of SQL and relational databases.
- Proficiency in at least one programming language (e.g., Python, Java, Scala).
- Basic understanding of data structures, algorithms, and software development principles.
- Strong analytical and problem-solving abilities.
- Excellent communication and teamwork skills.
- Eagerness to learn new technologies and concepts quickly.
Preferred Qualifications
- Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
- Experience with big data technologies (e.g., Apache Spark, Hadoop) through academic projects or personal exploration.
- Understanding of data warehousing concepts (e.g., Snowflake, Redshift, BigQuery).
- Exposure to version control systems like Git.
- Knowledge of scripting languages for automation.
Perks & Benefits
- Competitive salary and employee share plan.
- Comprehensive health and wellness benefits.
- Flexible working arrangements (Hybrid model).
- Generous parental leave policy.
- Professional development opportunities and mentorship programs.
- Modern, vibrant office spaces with collaborative environments.
- Regular social events and community engagement initiatives.
- Access to a wide range of learning resources and internal training.
How to Apply
If you are ready to launch your career as a Data Engineer with a company that values innovation and impact, we encourage you to apply! Please click on the application link below to visit our careers page. Search for ‘Data Engineer’ or ‘Graduate Engineer’ roles, and follow the instructions to submit your resume and cover letter. We look forward to hearing from you!