Data Engineer

We are seeking an enthusiastic and skilled Data Engineer to join our team.

Utilize modern cloud native architectures and patterns, lead projects and collaborate with vendors and clients. Benefits include remote working flexibility, career development opportunities and a competitive base salary plus bonus. If you are passionate about data, looking to take your skills to the next level and are naturally inquisitive, we’d love to meet you.

Valocity

Join our award-winning team of game-changers in driving transformation and world-class innovation across the entire mortgage valuation process. Combining our data, technology, and people, the Valocity dream team works collaboratively to streamline the home buying journey for people around the world.

With offices in New Zealand, Australia, and India, Valocity is constantly evolving culture and strategy with a focus on the future. We’re open to innovation, technology, and new ideas to ensure we continue to be fast, agile, and equipped for success.

At Valocity, we endorse positive goals and a productive atmosphere that embodies the highest level of commitment to the business, customers, and one another. This is a great opportunity to be part of a dynamic team where your professionalism and skills will make a difference.

You will be working for an award winning, innovative, and fast-paced organisation that believes in celebrating success. Team Valocity is passionate about people, and Valocity’s people are passionate about what they do every day. With us, better never stops.

Due to growth and team expansion, we have an exciting opportunity for a Data Engineer to join us in our Wellington office. Reporting to Head of Data Operations and Engineering, you will help empower Valocity with the ability to unleash the full potential of its data assets, and to build and sustain exceptional global data services that can thrive on Valocity's current and future state architectures.

Utilize modern cloud native architectures and patterns, participate in exciting projects, and develop core skills that will set you up with a great career in data.

If you are passionate about data, looking to take your skills to the next level and are naturally inquisitive, we’d love to meet you.

Key Outcomes

§ Lead components of the ongoing program of modernisation work, reimplementing legacy assets onto the Azure Databricks Lakehouse target state architecture, ensuring scalability, performance, and alignment with long-term data strategy.

§ Identify, design, and implement automation opportunities across existing manual data and reporting processes, championing efficiency and reliability

§ Collaborate proactively with the Data Platform Architect to design, extend, and optimise robust and reusable data pipelines in response to evolving business requirements and integration of new data sources and partnerships.

§ Be able to effectively communicate between the data team and business stakeholders, , translating technical concepts into business context, and ensuring data solutions meet stakeholder needs.

§ Contribute to and continuously enhance the internal knowledge base with an emphasis on usability, clarity, and relevance.

§ Establish, maintain, and advocate for best practice standards in data security, governance, and storage, ensuring compliance with regulatory frameworks and internal policies.

§ Take ownership of your professional development, actively identifying growth opportunities and engaging in upskilling initiatives to contribute more strategically to data platform evolution and innovation.

§ Support, enhance, and contribute to the continuous improvement of the organisation’s analytics and reporting platforms, ensuring their reliability, performance, and alignment with business priorities.

Key Working Relationships

Internal:

§ CDO

§ Head of Data Operations and Data Engineering team

§ Data Platforms Architect

§ Wider Data Team

§ Customer Success Team

§ Product Managers/Owners

§ Technology Architects

External:

§ Third party technology and data suppliers

Key Personal Attributes

Education/qualifications:

Maths, Statistics, Computer Science or related degree with strong numerical analysis components

Prior experience:

Minimum 2 years accumulated experience in Data Engineering.

Technical knowledge/skills:

§ A strong understanding of data modelling with both structured and unstructured data types

§ Good knowledge of SQL and/or Python. Exposure to other data and engineering, visualization and data science tools will be advantageous in particular Power BI.

§ Experience working with Azure Data Platform Solutions including but not limited to Azure Data Lake, Azure Databricks, Azure Cognitive Services, Azure Data Factory and Log Analytics

§ Competent in Microsoft Office suite of Productivity Applications

§ Used source code control (Git) and some knowledge of CI/CD frameworks

Personal qualities:

§ Research and fact-based approach to problem solving evidenced with data

§ Self-motivated with a strong desire to produce excellent work for clients and internal needs

§ Excellent attention to detail and documentation

§ A strong team player with a “can do” attitude and willingness to share ideas and skills

§ Has a strong sense of curiosity and is wanting to develop and stretch their skills sets.

§ Proactive and energetic self-manager exemplifying a professional manner in all that you do

§ Able to manage multiple projects at the same time