Data Engineer at BECA Group
Auckland, Auckland, New Zealand -
Full Time


Start Date

Immediate

Expiry Date

11 May, 26

Salary

0.0

Posted On

10 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Engineering, Data Analysis, Data Warehousing, ETL, SQL, Python, Data Modelling, Problem Solving, Geospatial Data, IoT, Data Security, AI, Analytics, Data Science

Industry

Business Consulting and Services

Description
Data Engineer Data Engineer | Data Analysis | Analytics and Insight We are excited to announce a permanent opportunity at Beca, where you will support innovative digital initiatives that drive data-driven decisions and actionable insights. Collaborating with our business and technology teams, you will contribute to a broad range of analytical and innovative solutions, addressing complex and unique problems across various business lines, clients, countries and technology platforms. Te whiwhinga mahi | The opportunity We are seeking a Data Engineer with 2+ years of data engineering experience, passionate about quality, learning and innovation. You will apply data engineering principles to deliver data warehousing and provisioning solutions. You will understand the business needs and desired outcomes to ensure successful solutions and to maximise data re-use. You will be responsible data modelling, ETL (Extract Transform Load) and delivering data provisioning solutions. A strong background in various software development methodologies is essential. Proficiency in SQL is required and experience with Python is an advantage. Additionally, you will have experience with different data types, structured and unstructured, Geospatial and IoT. Strong problem-solving skills and a passion for data are essential. Mōu ake | About You You are passionate about data and technology, eager to grow your knowledge and experience, and seek an organisation that supports those aspirations. You will find success and enjoyment from: understanding enterprise data domains and your experience in data modelling, transformations, data lake storage and data warehousing seeking opportunities to cross skill in data security, AI, analytics and data science. responding to client enquiries about technical issues in a way that maximises understanding learning and growth, your commitment to developing cross-functional expertise in the data domain your curiosity and passion for technology, and its potential to improve the way we work, now and into the future Ko tā mātou hei hoatu | What we offer A career with Beca will provide you with: Build your skills through our extensive Professional development training programs Shareholding opportunities A supportive and caring work environment where you can bring your whole self to work Flexible working arrangements to balance your personal / family commitments Opportunities to learn from our industry specialists and technical gurus across the Asia-Pacific Wellbeing and volunteer leave Enhanced parental leave with up to 22 weeks full paid leave after the birth or placement of your child, inclusive of all genders Discounted insurances including health, life, and income protection Beca prides itself on supporting a diverse and inclusive culture – open to inputs from creative people of all genders, ethnicity, identity, thought and experiences. Mō mātou | About us Beca is one of Asia Pacific’s largest independent advisory, design, and engineering consultancies. After a century of operation, we have grown from a family-owned business to one of the most progressive, client-centric professional services consultancies in our region. We have more than 4,000 employees in 25 offices around the world and have delivered projects in more than 70 countries. ‘Creative people together transforming our world’ is our vision. It reflects our culture, our aspirations and our purpose - to make everyday better. We create value through understanding and delivering successful solutions, exceptional service and our enduring relationships and use our skills and systems to empower innovation; helping our clients shape communities, optimise their assets and streamline their operations. Find out more about us at www.beca.com. Tonoa mai | Apply now Ready to make everyday better? Apply now. Hello! And welcome to a whole new world of possibilities with Beca. We hope you’re as keen as we are to find out more about each other. We look forward to seeing your application. The Talent Acquisition Team Make everyday better Creative people together transforming our world' is our vision. It reflects our culture, our aspirations and our purpose - to make everyday better. But we need problem solvers - the makers, the creators, the planners and practitioners to convert ideas into reality. For over 100 years, we’ve been making a visible difference, developing, and delivering solutions for our clients, our people and our community. Focusing on sustainability, innovation, and digital technologies, to create better and safer outcomes. What makes us different? At Beca, our people are our business. We support curiosity and value great ideas, and are passionate about creating a workplace where people are engaged, feel incredible and can belong. Our employee-ownership model sets us apart. It’s an opportunity for our people to be invested in the future success of our business, with share ownership available for eligible employees. We also offer a range of employee benefits, designed to reward and recognise the amazing things our people are doing everyday. And our values of partnership, tenacity, enjoyment and care are reflected in the way we work, with our people and with our clients. When you are part of our Beca family, you’ll own your own career path and contribute to a legacy. Join us and discover for yourself how you own your career and can make a everyday better.
Responsibilities
The Data Engineer will support innovative digital initiatives by applying data engineering principles to deliver data warehousing and provisioning solutions. Responsibilities include data modelling, ETL processes, and ensuring successful solutions that maximize data re-use.
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