Database Development & Administration (Information & Communication Technology)
Full time
We're looking for a Data Engineer with solid banking product knowledge to join our growing data science team and help shape the future of our data-driven decision-making. If you're a highly skilled data engineer with a talent for developing cutting-edge solutions and the leadership to influence business strategy, we want to hear from you!
About us
Join a high-growth, innovative fintech company with a talented, high-performing team that values collaboration and contribution. At Harmoney, you'll engage in interesting and challenging work that enhances our customers' financial lives every day. Be part of our mission to inspire people to achieve their goals through friendly, fair, and simple financial products.
About the role
Reporting to the Data Analytics Manager, you will own the solutions and build them in a secure, reliable, and scalable manner. You will contribute to delivering the data platform capabilities and services, as well as improving our existing platforms and data engineering practices. This role is perfect for someone who enjoys both the technical aspects of data engineering and the opportunity to communicate findings to key stakeholders.
What you'll do
In this role, you will be hands-on with some of the leading tools available, utilising your data engineering skills to the fullest as you help us develop and enhance our products and services. The purpose of this role is to turn complex data from a variety of data sources into easily discoverable datasets which can be utilised to drive informed business decisions.
Design and develop end to end data pipelines using tools such as Hevo, Snowflake, Hightouch.
Translate functional requirements into technical specifications.
Design data solution architecture, data models, data migration, integration, analysis, and visualisation.
Exposure to SLT/ELT working collaboratively with the engineering, product, and finance teams.
Maintain and build all associated integrations.
Work with the team members in supporting existing pipelines.
Nice to have's
Solid banking product knowledge.
Proficiency in Data Modelling Methodologies and designing relational databases.
Strong expertise in SQL for querying, analysing, and manipulating data.
Experience with data engineering tools (e.g., Snowflake, DBT, Coalesce, Python).
Experience with semi-structured data (e.g., JSON, XML).
Excellent problem-solving skills with the ability to align technical solutions with business strategies.
Strong collaboration and communication skills, able to work with technical teams and business stakeholders.
Familiarity with data governance and compliance standards in financial services.
Qualifications
Bachelor's Degree in Computer Science, Data Science, IT Architecture, or a related field; a Master's degree is a plus.
Minimum of 5 years of experience as a Senior Data Engineer or in a similar role.
Expertise in data mining, segmentation techniques, and data transformation activities at an enterprise level.
Experience with public cloud platforms (Azure, AWS) and familiarity with data analysis tools such as Power BI.
How to love your time
If you enjoy problem-solving, collaborating with smart people, and being part of positive change, keep reading! You'll have the opportunity to share your ideas, work both collaboratively and independently, and help customers manage their finances. Harmoney is one of New Zealand's most successful fintechs, expanding rapidly in both New Zealand and Australia. If you're looking for a place where your contributions matter and your ideas are valued, Harmoney is the perfect place to grow your career.
Why join us?
At Harmoney, we pride ourselves on being a high-growth, innovative fintech company that offers flexible working practices and a supportive, collaborative culture. You'll engage in meaningful work that improves the financial lives of our customers daily.
What to enjoy?
Innovate: Collaborate in a creative environment focused on continuous learning.
Social: Enjoy engaging team events both onsite and offsite.
Flexibility: Supportive hybrid work options with flexible hours.
Growth: Access training and resources to support career development.
Health & wellbeing: Medical coverage, counselling services, wellbeing days, and birthday leave.
Learning & development: Dedicated budget for personal and professional growth.
Parental support: Paid parental leave top-up for up to 12 weeks.
Immediate start - To be considered for this vacancy you MUST currently reside in New Zealand and be a New Zealand citizen, permanent resident or resident with a valid work visa.
What you need to do
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV or email ****** for a confidential chat.
Your application will include the following questions:
Which of the following statements best describes your right to work in New Zealand?
How many years' experience do you have as a Data Engineer?
Have you completed a qualification in computer science?
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