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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.
Overview
Join to apply for the Data Engineer (SC Cleared) role at Scrumconnect Consulting.
About 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 over 40 million UK citizens. With a strong commitment to user-centred design and agile delivery, we deliver innovative digital services that matter.
Clearance: Active SC clearance is mandatory.
Role Overview
We are looking for an experienced Data Engineer to develop and maintain data products and a Strategic Data Platform. You will work as part of multi-functional Agile delivery teams, ensuring operational stability, ongoing support, and enhancement of data solutions. The role focuses on designing, delivering, and optimising scalable data architectures, with a strong emphasis on Azure-based tools and modern engineering practices.
Key Responsibilities
- Design, build, and maintain data solutions using Azure Data Factory and Azure Synapse.
- Manage data development lifecycle within Agile delivery teams.
- Integrate and automate data workflows into Azure DevOps pipelines.
- Create and maintain dimension data models and semantic models for integration with Power BI.
- Develop complex dashboards, visualisations, and reporting solutions using Power BI.
- Implement data governance, quality checks, and profiling to ensure accuracy and compliance.
- Migrate legacy data capabilities to modern Azure-based platforms.
- Collaborate with business stakeholders to translate requirements into robust technical solutions.
- Coach and mentor team members to enhance capability in data engineering best practices.
Essential Skills & Experience
- Active SC Clearance (must be valid and in place at application stage).
- Proven experience with:
- Azure Data Factory & Azure Synapse
- Azure DevOps & Microsoft Azure
- Power BI (including semantic models)
- Python (including PySpark)
- SQL (proficient level)
- Dimension data modelling
- Experience with Terraform for infrastructure-as-code deployments.
- Ability to deliver solutions using structured and unstructured data.
- Experience in Agile environments.
- Strong business analysis skills to understand service needs and document accurately.
- Proven experience in legacy migration projects within complex organisations.
- Ability to work collaboratively and communicate effectively with technical and non-technical stakeholders.
Desirable
- Azure certifications (Data Engineering, Data Scientist, or related specialisation).
- Knowledge of GDPR compliance, data security, and governance best practices.
Seniority
- Mid-Senior level
Employment Type
- Contract
Job Function
- Information Technology
Industries
- Data Infrastructure and Analytics
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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.
