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For Companies At a Glance
- Tasks: Design and maintain data solutions using Azure tools, ensuring operational stability and support.
- Company: Award-winning digital consultancy impacting over 40 million UK citizens.
- Benefits: Competitive salary, professional development, and a chance to work on meaningful projects.
- Why this job: Join a dynamic team and make a real difference in government digital services.
- Qualifications: Active SC clearance and expertise in Azure, SQL, and data engineering.
- Other info: Collaborative environment with opportunities for growth and mentorship.
The predicted salary is between 42000 - 60000 £ 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 over 40 million UK citizens. We are committed to user-centred design and agile delivery, bringing innovation to digital services that matter.
Clearance Requirement
Active SC clearance is mandatory (must be valid at the time of application).
Role Overview
We are seeking 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, SQL, and modern engineering practices.
Key Responsibilities
- Design, build, and maintain data solutions using Azure Data Factory and Azure Synapse.
- Manage the data development life cycle within Agile delivery teams.
- Integrate and automate 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.
- Apply dbt (with SQL databases) for data transformation, modelling, and workflow optimisation.
- 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 in place at the time of application).
- Proven expertise with:
- Azure Data Factory & Azure Synapse
- Azure DevOps & Microsoft Azure
- Power BI (including semantic models)
- Python (incl. PySpark) and SQL (advanced proficiency)
- dbt with SQL DBs (data transformation & modelling)
- Dimension data modelling
- Terraform for infrastructure-as-code deployments
Desirable
- Azure certifications (Data Engineering, Data Scientist, or related).
- Knowledge of GDPR compliance, data security, and governance best practices.
Data Engineer (SC Cleared) employer: scrumconnect ltd
Contact Detail:
scrumconnect ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (SC Cleared)
✨Tip Number 1
Network like a pro! Reach out to current employees at Scrumconnect Consulting on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral.
✨Tip Number 2
Prepare for the interview by brushing up on Azure tools and data engineering concepts. We want to show off our skills, so practice explaining how we've used Azure Data Factory or Power BI in past projects.
✨Tip Number 3
Don’t forget to showcase our problem-solving skills! Be ready to discuss how we tackled challenges in previous roles, especially around data migration or Agile delivery.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure our application gets seen by the right people. Plus, it shows we’re serious about joining the team.
We think you need these skills to ace Data Engineer (SC Cleared)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Azure Data Factory, Azure Synapse, and SQL in your application. We want to see how your skills align with what we're looking for, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for the Data Engineer role. Mention specific projects or experiences that relate to the responsibilities listed in the job description. This shows us you’re genuinely interested!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences quickly.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at scrumconnect ltd
✨Know Your Tech Stack
Make sure you’re well-versed in Azure Data Factory, Azure Synapse, and Power BI. Brush up on your SQL skills and be ready to discuss how you've used these tools in past projects. Being able to share specific examples will show that you’re not just familiar with the tech but can also apply it effectively.
✨Understand Agile Methodologies
Since the role involves working in Agile delivery teams, it’s crucial to understand Agile principles. Be prepared to discuss your experience in Agile environments and how you’ve contributed to team success. Think of examples where you’ve adapted to changes quickly or collaborated with cross-functional teams.
✨Showcase Your Problem-Solving Skills
Data engineering often involves tackling complex problems. Prepare to discuss challenges you’ve faced in previous roles, particularly around data migration or governance. Highlight your thought process and the steps you took to resolve these issues, as this will demonstrate your analytical skills.
✨Communicate Clearly
You’ll need to collaborate with both technical and non-technical stakeholders, so clear communication is key. Practice explaining complex technical concepts in simple terms. This will not only help you during the interview but also show that you can bridge the gap between different teams effectively.
