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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 multi-award-winning digital consultancy impacting 40 million UK citizens.
- Benefits: Enjoy a collaborative work culture with opportunities for professional growth and development.
- Why this job: Make a real difference by delivering innovative digital services that matter to society.
- Qualifications: Active SC clearance required; experience with Azure, Power BI, Python, and SQL essential.
- Other info: Opportunity to coach team members and enhance your skills in a supportive environment.
The predicted salary is between 48000 - 72000 £ per year.
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.
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.
- Active SC Clearance (must be in place at the time of application).
Qualifications
- 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 databases (data transformation & modelling)
- Dimension data modelling
- Terraform for infrastructure-as-code deployments
- Experience delivering solutions with structured and unstructured data.
- Strong experience in Agile environments.
- Business analysis skills to capture and translate service needs into technical solutions.
- Proven track record in Legacy migration projects within complex organisations.
- Excellent communication and collaboration skills across technical and non-technical teams.
Desirable
- Azure certifications (Data Engineering, Data Scientist, or related).
- Knowledge of GDPR compliance, data security, and governance best practices.
Company
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.
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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
Make sure you highlight your active SC clearance in any conversations or networking opportunities. This is a mandatory requirement for the role, and showcasing it early can set you apart from other candidates.
✨Tip Number 2
Familiarise yourself with Azure Data Factory and Azure Synapse, as these are key tools for the position. Consider joining online forums or communities where you can discuss best practices and recent developments in these technologies.
✨Tip Number 3
Engage with current employees or alumni from Scrumconnect Consulting on platforms like LinkedIn. They can provide insights into the company culture and expectations, which can help you tailor your approach during interviews.
✨Tip Number 4
Prepare to discuss your experience with Agile methodologies and how you've contributed to team projects in the past. Being able to articulate your role in collaborative environments will demonstrate your fit for the multi-functional teams at Scrumconnect.
We think you need these skills to ace Data Engineer (SC Cleared)
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasise your experience with Azure Data Factory, Azure Synapse, and Power BI. Provide specific examples of projects where you've used these tools, especially in Agile environments.
Showcase Your SC Clearance: Since active SC clearance is mandatory, clearly state your current clearance status in your application. This will help the employer quickly assess your eligibility for the role.
Detail Your Technical Skills: List your technical skills prominently, including Python, SQL, and Terraform. Be specific about your proficiency levels and any relevant certifications you hold, as this will strengthen your application.
Tailor Your Application: Customise your CV and cover letter to reflect the key responsibilities and essential skills mentioned in the job description. Use keywords from the listing to ensure your application stands out.
How to prepare for a job interview at scrumconnect ltd
✨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, make sure you can articulate your understanding of Agile principles. Share examples of how you've contributed to Agile projects in the past, focusing on collaboration and iterative development.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities, especially regarding data migration and governance. Think of scenarios where you've had to troubleshoot issues or implement data quality checks, and be ready to explain your thought process.
✨Communicate Effectively with Stakeholders
The ability to communicate complex technical concepts to non-technical stakeholders is crucial. Prepare to discuss how you've successfully collaborated with business teams in the past, ensuring that you can bridge the gap between technical and non-technical discussions.
