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For Companies 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 options, and career development pathways.
- Why this job: Make a real impact on data solutions for NZ's leading organisations.
- Qualifications: 10+ years in data engineering with strong SQL and Python skills.
- Other info: Be part of a supportive team that values curiosity and innovation.
The predicted salary is between 36000 - 60000 £ 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 Bournemouth employer: Data Domain
Contact Detail:
Data Domain Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Consultant in Bournemouth
✨Tip Number 1
Network like a pro! Get out there and connect with industry folks on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving cloud-native platforms. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss how you've tackled complex data challenges in the past.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our awesome team!
We think you need these skills to ace Senior Data Consultant in Bournemouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your expertise in data engineering, cloud platforms, and any relevant consulting experience. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for the Senior Data Consultant role. Share specific examples of your past projects and how they align with our needs. This is your chance to show off your personality and passion for data!
Showcase Your Technical Skills: Don’t forget to mention your proficiency in SQL, Python, and any tools like dbt or Airflow. We love seeing candidates who can demonstrate their technical prowess, so include any relevant certifications or projects that highlight your capabilities.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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 the specific tools you've used, such as dbt or Apache Airflow.
✨Showcase Your Consulting Skills
Since this role involves client engagement, prepare examples of how you've successfully communicated complex data solutions to non-technical stakeholders. Highlight your ability to understand client needs and deliver tailored solutions.
✨Emphasise Mentorship Experience
As a Senior Data Consultant, you'll be expected to mentor junior team members. Think of instances where you've guided others in best practices for data engineering, testing, or automation, and be ready to share those stories.
✨Demonstrate Your Problem-Solving Mindset
Prepare to discuss specific challenges you've faced in data engineering and how you approached solving them. This will show your potential employer that you're not just technically skilled but also a proactive problem solver who thrives in fast-paced environments.