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For Companies At a Glance
- Tasks: Develop and maintain data products using Azure tools in Agile teams.
- Company: Join Scrumconnect Consulting, a top digital consultancy impacting millions across the UK.
- Benefits: Enjoy flexible working options and a chance to work on meaningful projects.
- Why this job: Be part of a team that shapes technology solutions for government and enhances lives.
- Qualifications: Must have active SC clearance and experience with Azure Data Factory, Power BI, and Python.
- Other info: Opportunity to coach others and grow your skills in a collaborative environment.
The predicted salary is between 48000 - 72000 £ per year.
About Scrumconnect Consulting
Scrumconnect Consulting is a multi-award-winning digital consultancy recognised for delivering impactful technology solutions across UK government departments. Our work has positively influenced the lives of more than 40 million UK citizens. We are committed to user-centred design, agile delivery, and driving innovation in digital services that truly matter.
Role Overview
We are seeking an experienced Data Engineer to design, build, and maintain data products and a modern Strategic Data Platform. You will work within multi-functional Agile delivery teams, ensuring operational stability, ongoing support, and continuous enhancement of data solutions.
This role is ideal for someone with strong Azure data engineering experience, excellent SQL and Python capability, and a passion for building scalable, reliable data platforms in complex environments.
Key Responsibilities
- Design, build, and maintain data solutions using Azure Data Factory and Azure Synapse
- Manage the full data development lifecycle within Agile delivery teams
- Integrate and automate workflows using Azure DevOps pipelines
- Develop dimension data models and semantic models to support Power BI analytics
- Create advanced dashboards, visualisations, and reporting solutions in Power BI
- Implement robust data governance, profiling, and quality checks to ensure accuracy and compliance
- Lead the migration of legacy data systems to modern Azure-based platforms
- Apply dbt (with SQL databases) for data transformation, modelling, and workflow optimisation
- Collaborate with business stakeholders to translate requirements into scalable technical solutions
- Coach and mentor team members to strengthen data engineering best practices
Essential Skills & Experience
- Active SC Clearance (must be valid at time of application)
- Proven expertise with:
- Azure Data Factory & Azure Synapse
- Microsoft Azure & Azure DevOps
- Power BI (including semantic modelling)
- Python (including PySpark) and advanced SQL
- dbt for SQL-based data transformation and modelling
- Dimension data modelling
- Terraform (Infrastructure as Code)
Desirable
- Azure certifications (Data Engineer, Data Scientist, or related)
- Knowledge of GDPR, data security, and governance best practices
Diversity & Inclusion
At Scrumconnect Consulting, we believe that diversity drives innovation. We are committed to creating an inclusive environment where every individual is valued, respected, and supported. We welcome applications from candidates of all backgrounds and actively encourage applications from women, people with disabilities, underrepresented communities, and those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout the recruitment process and employment to ensure equal opportunity for all.
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Data Engineer (SC Cleared) employer: Scrumconnect Consulting
Contact Detail:
Scrumconnect Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (SC Cleared)
✨Tip Number 1
Make sure you highlight your active SC clearance in conversations and networking opportunities. This is a mandatory requirement for the role, so emphasising it can set you apart from other candidates.
✨Tip Number 2
Familiarise yourself with Azure Data Factory and Azure Synapse by working on personal projects or contributing to open-source initiatives. Demonstrating hands-on experience with these tools can significantly boost your chances during interviews.
✨Tip Number 3
Engage with online communities or forums related to data engineering and Azure technologies. Networking with professionals in the field can provide valuable insights and potentially lead to referrals for the position.
✨Tip Number 4
Prepare to discuss your experience with Agile methodologies and how you've successfully collaborated with cross-functional teams. Being able to articulate your teamwork skills will be crucial in demonstrating your fit for the role.
We think you need these skills to ace Data Engineer (SC Cleared)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience with Azure Data Factory, Azure Synapse, and Power BI. Use specific examples that demonstrate your skills in data engineering and Agile environments.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your active SC clearance and how your background aligns with Scrumconnect Consulting's mission to deliver impactful technology solutions.
Showcase Technical Skills: Clearly outline your proficiency in Python, SQL, and dimension data modelling. Provide examples of past projects where you successfully implemented these skills, especially in relation to data governance and legacy migration.
Highlight Collaboration Experience: Emphasise your ability to work collaboratively with both technical and non-technical stakeholders. Share instances where you translated business requirements into technical solutions, showcasing your strong communication skills.
How to prepare for a job interview at Scrumconnect Consulting
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Azure Data Factory, Azure Synapse, and Power BI in detail. Highlight specific projects where you've successfully implemented these tools, as this will demonstrate your hands-on expertise.
✨Understand Agile Methodologies
Since the role involves working within Agile delivery teams, brush up on Agile principles and be ready to discuss how you've contributed to Agile projects in the past. Share examples of how you’ve managed the data development lifecycle in such environments.
✨Emphasise Collaboration and Communication
This position requires effective communication with both technical and non-technical stakeholders. Prepare to give examples of how you've successfully collaborated with diverse teams and translated complex technical requirements into understandable terms.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills, especially regarding data governance and migration projects. Think of challenges you've faced in previous roles and how you overcame them, particularly in relation to legacy data migration.
