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 help create a shared understanding of needs and contribute to a broad range of analytical and innovative solutions. Your work will address real world, complex and unique problems across various business lines, clients, countries and technology platforms.
Te whiwhinga mahi | The opportunity
We are seeking a Lead Data Engineer with extensive experience delivering enterprise-scale data engineering solutions and a passion for innovation, quality and continuous improvement. In this role, you will provide technical leadership across data platforms, designing and delivering robust data provisioning, warehousing and integration solutions that enable data-driven decision making across the business.
You will partner with stakeholders to understand strategic business objectives and translate them into practical, scalable and secure data solutions. As a trusted technical leader, you will take ownership of complex data engineering initiatives, ensuring best practice approaches are applied across architecture, data modelling, platform optimisation, data quality and governance.
Key responsibilities include leading the design and implementation of data pipelines and ETL/ELT frameworks, maintaining and optimising cloud-based data platforms, implementing data security controls, and enabling the re-use of enterprise data assets. You will also collaborate closely with Data Scientists and AI Engineers to operationalise advanced analytics and machine learning solutions.
A strong background in modern data engineering practices is essential. Experience with Azure pipelines, Microsoft Fabric ( or similar data lake environments) and SQL Server is required, while exposure to Python, data governance and master data management will be highly regarded. Experience working with structured and unstructured data, geospatial datasets and IoT data is advantageous.
Beyond technical expertise, you will mentor and coach others, champion best practices, identify opportunities for improvement, and contribute to building data capability across the organisation.
Ko wai koe | About you
You are an experienced data engineering professional who enjoys solving complex problems, turning data into actionable insights, and leading others to deliver great outcomes. Combining strong technical expertise with a collaborative mindset, you're comfortable working across stakeholders, data teams, and business leaders to deliver scalable, secure, and innovative data solutions.
You will thrive in this role if you enjoy:
- Leading the design and optimisation of enterprise data platforms, pipelines, and warehousing solutions.
- Applying expertise in data modelling, cloud architectures, and data lifecycle management to solve business challenges.
- Driving data quality, governance, security, and master data management practices.
- Collaborating with Data Scientists, AI Engineers, and stakeholders to deliver advanced analytics and AI-enabled solutions.
- Mentoring and developing others while championing continuous improvement and technical excellence.
You'll bring a passion for emerging technologies, strong communication skills, and a desire to shape the future of data and analytics within a growing organisation.
Ngā āhuatanga kei a mātou | What we offer
A career with Beca will provide you with:
- Professional development 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 experts and technical gurus across the Asia Pacific.
- A highly supportive environment of sharing and collaboration.
Beca prides itself on supporting a diverse and inclusive culture – open to inputs from creative people of all genders, ethnicity, identity, thought and experiences.
Tono mai | Apply now
Ready to make everyday better? Apply now.
Skills Required
- Extensive experience delivering enterprise-scale data engineering solutions
- Experience designing and implementing data pipelines and ETL/ELT frameworks
- Experience with Azure Pipelines
- Experience with Microsoft Fabric or similar data lake environments
- Experience with SQL Server
- Experience with cloud-based data platforms, data warehousing, data integration, and data modelling
- Experience applying data quality, security, governance, and platform optimisation practices
- Experience providing technical leadership and mentoring others
- Python experience
- Experience with data governance and master data management
- Experience working with structured and unstructured data
- Experience with geospatial datasets and IoT data
Beca Group Limited Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Beca Group Limited and has not been reviewed or approved by Beca Group Limited.
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Leave & Time Off Breadth — Leave options include wellbeing leave, volunteer leave, enhanced compassionate leave, and family‑friendly parental leave layered on top of annual leave. These programs are positioned as core benefits, with specifics varying by country.
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Wellbeing & Lifestyle Benefits — Wellbeing resources include an Employee Assistance Program, wellness initiatives, and employee‑led affinity groups, with some locations also offering gym discounts and similar perks. Flexible working arrangements are emphasized as part of the overall wellbeing approach.
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Equity Value & Accessibility — Employee ownership with a broad shareholding base and a long‑running share scheme provides potential long‑term value and alignment for eligible employees. Participation depends on eligibility and tenure, so the impact varies by individual.
Beca Group Limited Insights
What We Do
Beca is one of the largest employee-owned professional services consultancy firms in the Asia-Pacific region, providing engineering, design, and advisory services to help clients optimize assets and infrastructure.
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