At a Glance
- Tasks: Lead the design and implementation of cloud-native data platforms for clients.
- Company: Join a fast-growing New Zealand-owned consultancy shaping the future of data and AI.
- Benefits: Competitive pay, hybrid work, career development, and access to global resources.
- Other info: Be part of a supportive team that values curiosity, innovation, and continuous learning.
- Why this job: Make a real impact on data solutions for top NZ organisations while mentoring others.
- Qualifications: 10+ years in data engineering with strong SQL and Python skills.
The predicted salary is between 43200 - 72000 £ per year.
We’re looking for a Senior Data Consultant to lead the design and implementation of cloud-native data platforms and pipelines for our clients. You’ll work closely with data architects, analysts, and business stakeholders to deliver robust, scalable, and secure data solutions that meet real business needs. You’ll be a trusted advisor in client engagements, contributing your technical expertise while mentoring junior team members and promoting best practices in engineering, testing, and automation.
Key Responsibilities
- Design and implement modern data architectures (e.g. lakehouse, data mesh, event-driven) on cloud platforms such as AWS, Azure, or GCP.
- Build scalable and efficient data pipelines using tools like dbt, Spark, Airflow, or native cloud services.
- Support data ingestion, transformation, and orchestration from multiple structured and unstructured sources.
- Apply strong DevOps/DataOps principles: CI/CD, version control, automation, and monitoring.
- Ensure data quality, lineage, security, and governance are embedded in all engineering outputs.
- Engage directly with clients to understand requirements, present solutions, and deliver outcomes.
- Mentor data engineers and contribute to internal knowledge sharing, frameworks, and standards.
About You
You’re a confident and collaborative data engineer with consulting experience, comfortable working in fast-paced environments and solving complex challenges. You bring deep technical knowledge, a willingness to learn, and a genuine interest in enabling better decision-making through trusted data.
Required Skills & Experience
- 10+ years of experience in data engineering, ideally in consulting or client-facing roles.
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science or a related field.
- Proven expertise in SQL, Python, and modern data transformation and orchestration solutions such as dbt, Coalesce, Apache Airflow, Prefect.
- Experience designing and implementing cloud-based data platforms (e.g. AWS Redshift, Microsoft Fabric, Snowflake, Databricks, BigQuery).
- Experience designing and implementing modern reporting and business intelligence tools (e.g. Power BI, Tableau).
- Strong understanding of data modelling, data warehousing, and ELT best practices.
- Familiarity with data governance principles (e.g. lineage, cataloguing, masking, governance framework).
- Experience working in Agile or product delivery teams.
- Excellent communication skills and stakeholder engagement abilities.
Bonus Points
- Certifications in AWS, Azure, GCP, Databricks, MSFabric, Snowflake, dbt, Tableau, or Power BI.
- Experience with infrastructure-as-code (e.g. Terraform, CloudFormation).
- Exposure to AI/ML data pipelines or real-time streaming architectures.
Why Work at Data Domain
At Data Domain, you’ll join a fast-growing New Zealand-owned consultancy that’s shaping the future of data, analytics, and AI. With a focus on meaningful impact, the team works with some of NZ’s leading organisations to deliver modern, secure, and governed data solutions. You’ll be part of a highly skilled, supportive team that values curiosity, innovation, and continuous learning. As a sister company of TTC Global, Data Domain offers both the agility of a local firm and the scale of a global group — providing opportunities for career growth, diverse projects, and cross-border collaboration. If you’re passionate about solving real-world problems with data and want to help drive responsible AI in Aotearoa and beyond, Data Domain is the place to thrive.
What We Offer
- Competitive remuneration.
- The opportunity to work on impactful data and analytics projects across NZ’s top organisations.
- Hybrid working and flexible arrangements.
- Career development pathways and access to global resources.
- A culture that values diversity, innovation, and integrity.
- A supportive, high-performing team environment that values professional growth.
Senior Data Consultant in Christchurch employer: Data Domain
Data Domain is an exceptional employer that fosters a collaborative and innovative work culture, where experienced professionals can thrive. With a strong emphasis on employee growth, we offer mentorship opportunities and continuous learning in the rapidly evolving field of cloud data solutions. Located in a vibrant tech hub, our team enjoys access to cutting-edge resources and a supportive environment that values creativity and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Consultant in Christchurch
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. Building relationships can lead to referrals and insider info about job openings.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your projects or contributions to open-source initiatives. This gives potential employers a tangible sense of what you can do, especially in data engineering.
✨Ace the Interview
Prepare for interviews by practising common questions and scenarios related to data consulting. Be ready to discuss your past projects and how you’ve solved complex problems. Remember, it’s not just about technical skills; show your communication and teamwork abilities too!
✨Apply Through Our Website
We encourage you to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be one step closer to joining our awesome team at Data Domain!
We think you need these skills to ace Senior Data Consultant in Christchurch
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Consultant role. Highlight your expertise in cloud platforms and data engineering tools, as well as any consulting experience you've had.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've designed and implemented data solutions in the past, and don’t forget to mention your mentoring experience!
Showcase Your Technical Skills:We want to see your technical prowess! Be sure to include relevant projects or achievements that demonstrate your knowledge of SQL, Python, and modern data transformation tools like dbt or Airflow.
Apply Through Our Website:For the best chance of success, apply directly through our website. This way, we can easily track your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Data Domain
✨Know Your Data Platforms
Make sure you brush up on your knowledge of cloud-native data platforms like AWS, Azure, and GCP. Be ready to discuss your experience with designing and implementing these systems, as well as any specific projects you've worked on that showcase your skills.
✨Showcase Your Technical Expertise
Prepare to dive deep into your technical skills, especially in SQL, Python, and tools like dbt and Apache Airflow. Have examples ready that demonstrate how you've built scalable data pipelines or implemented DevOps principles in your previous roles.
✨Engage with Real Business Needs
During the interview, focus on how your solutions have addressed real business challenges. Be prepared to share stories about client engagements where you’ve successfully understood requirements and delivered impactful outcomes.
✨Mentorship and Collaboration
Highlight your experience mentoring junior team members and promoting best practices. Discuss how you’ve contributed to knowledge sharing within your teams, as this role values collaboration and the development of others in the field.
