Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join us as a Data Engineer, designing and optimising data solutions.
- Company: Be part of a growing consultancy making waves in the data industry.
- Benefits: Enjoy hybrid working, personal development opportunities, and a chance to innovate.
- Why this job: Make a real impact in a data-driven organisation while shaping its future.
- Qualifications: Experience with DBT, Azure, and strong Python skills are essential.
- Other info: Ideal for passionate individuals eager to grow and build a successful business.
The predicted salary is between 42000 - 84000 £ per year.
An exciting opportunity for a passionate Data Engineer to join a growing consultancy business at a pivotal stage of its development. This role sits at the forefront of data infrastructure design, development, and optimisation — supporting enterprise-level solutions, modern data platform projects, and consultancy-led client engagements.
You’ll play a hands-on role in delivering robust, scalable data engineering solutions while advocating for best practices across the business. Ideal for someone with a proactive mindset, who wants to make a tangible impact and be part of shaping the future of a data-driven organisation.
Key Responsibilities- Consultancy & Client Delivery: Communicate clearly with project managers and stakeholders, translating technical concepts for non-technical audiences. Run client advisory sessions and online enablement workshops focused on modern data tools, including Power BI and metadata-driven solutions. Provide guidance and mentoring to junior team members on project delivery standards and best practices.
- Data Engineering & Infrastructure: Develop and maintain scalable data pipelines and integration solutions using modern cloud technologies. Identify opportunities for reuse of data flows across projects and teams. Ensure data quality, integrity, and performance optimisation throughout the data lifecycle. Design and manage metadata repositories, supporting metadata-driven ETL frameworks.
- Systems Integration: Ensure seamless integration between multiple data platforms and business systems. Troubleshoot and resolve data flow and system issues, collaborating closely with technical and non-technical stakeholders.
- Advocacy & Innovation: Champion modern data engineering techniques, tooling, and approaches within the business. Stay up to date with emerging data engineering trends and identify opportunities for continuous improvement.
- Technical Skills: Data Build Tool (DBT): Minimum 1 year’s hands-on project delivery experience. Microsoft Fabric: Minimum 1 year of practical experience working with Fabric-based solutions. Azure Ecosystem: At least 2 years of experience delivering business solutions using Azure Data Factory / Synapse, Power BI, Azure SQL Server.
- Data Modelling: Strong knowledge of dimensional modelling (Kimball). Familiarity with other techniques such as Data Vault 2.0.
- Development Experience: Minimum 3 years in database and/or analytics systems development and deployment. Strong understanding of Python and Spark for data transformation and pipeline development.
- Consulting & Client-Facing: Experience working on consultancy-led projects with external clients. Ability to deliver against agreed project milestones and manage client expectations. Comfortable running advisory and enablement sessions (online training, mentoring, and client coaching). Likeable, engaging personality with a collaborative, proactive approach.
- Azure Data Lake (Azure Storage)
- Familiarity with additional database technologies such as Oracle, Cosmos DB, and MySQL
- Experience with BI/reporting tools like QlikSense and Tableau
- Database performance tuning, query optimisation, and diagnostics
- Cloud infrastructure knowledge (Google Cloud, AWS)
- Data migration projects, particularly high-performance stored procedures
This role is ideal for a driven, enthusiastic Data Engineer who doesn’t just want a job- but a business to build with. Someone for whom this opportunity is their number one choice; a professional keen to make an impact, grow with the business, and be part of its success story. Candidates should be personable, passionate about data, and eager to champion new ideas and innovations.
Working ArrangementsHybrid working with 1–2 days per month in Nottingham. Focus on personal development, innovation, and making a business-wide impact.
Data Engineer employer: Cloud2 Consult
Contact Detail:
Cloud2 Consult Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Data Build Tool (DBT) and Microsoft Fabric. Having hands-on experience or even personal projects showcasing these technologies can set you apart during interviews.
✨Tip Number 2
Prepare to discuss your experience in consultancy-led projects. Think of examples where you've successfully communicated technical concepts to non-technical stakeholders, as this is a key responsibility in the role.
✨Tip Number 3
Showcase your passion for data engineering by staying updated on the latest trends and innovations in the field. Being able to discuss recent developments or tools can demonstrate your proactive mindset and enthusiasm for the role.
✨Tip Number 4
Network with current employees or professionals in similar roles to gain insights into the company culture and expectations. This can help you tailor your approach and show that you're genuinely interested in being part of their team.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Engineer role. Emphasise your hands-on experience with Data Build Tool (DBT), Microsoft Fabric, and the Azure ecosystem, as well as any consulting experience.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your proactive mindset. Mention specific projects or experiences where you made a tangible impact, and express your enthusiasm for contributing to a growing consultancy.
Showcase Technical Skills: In your application, clearly outline your technical skills, especially in Python, Spark, and data modelling techniques. Provide examples of how you've used these skills in previous roles to deliver successful data solutions.
Prepare for Client-Facing Scenarios: Since the role involves client advisory sessions, be ready to discuss your experience in communicating technical concepts to non-technical audiences. Highlight any mentoring or training you've provided to junior team members in your application.
How to prepare for a job interview at Cloud2 Consult
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with Data Build Tool (DBT), Microsoft Fabric, and the Azure ecosystem. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your capability to deliver robust data engineering solutions.
✨Communicate Clearly
Since the role involves translating technical concepts for non-technical audiences, practice explaining complex ideas in simple terms. This will not only show your understanding but also your ability to engage with diverse stakeholders effectively.
✨Demonstrate Your Consulting Experience
Share examples from your past consultancy-led projects, focusing on how you managed client expectations and delivered against project milestones. This will illustrate your ability to work collaboratively and maintain strong client relationships.
✨Emphasise Your Passion for Data
Express your enthusiasm for data engineering and your eagerness to champion new ideas and innovations. Companies are looking for candidates who are not just skilled but also genuinely passionate about making a tangible impact in a data-driven organisation.
