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For Companies At a Glance
- Tasks: Lead complex data engineering projects and design high-quality data pipelines.
- Company: Join a forward-thinking firm focused on innovative data solutions and client success.
- Benefits: Enjoy flexible working options, continuous learning opportunities, and a supportive team culture.
- Why this job: Be part of a dynamic team that values creativity, collaboration, and technical excellence.
- Qualifications: Strong communication skills and experience with cloud-native data services and data engineering tools required.
- Other info: SC clearance is essential for this role.
The predicted salary is between 48000 - 84000 £ per year.
Key Responsibilities
- Lead the technical delivery of complex data engineering projects, ensuring solutions are scalable, secure, and aligned with our delivery framework and client goals.
- Design and build high-quality data pipelines and integration workflows, setting the technical direction and ensuring engineering best practices are followed throughout the development lifecycle.
- Collaborate with multidisciplinary teams, including a wide range of other roles, to shape solutions that meet both technical and business requirements.
- Mentor and support data engineering teams, fostering a culture of continuous improvement, knowledge sharing, and technical excellence.
- Support testing activities by ensuring pipelines are testable, observable, and reliable; work with QA and analysts to define test strategies, implement automated tests, and validate data quality and integrity.
- Contribute to technical planning, including estimation, risk assessment, and defining delivery approaches for client engagements and new opportunities.
- Engage with clients and stakeholders, translating data requirements into technical solutions and communicating complex ideas clearly and effectively.
- Champion engineering standards, contributing to the development and adoption of data engineering guidelines, design patterns, and delivery methodologies that contribute to our delivery framework.
- Stay current with emerging technologies, evaluating their relevance and potential impact, and promoting innovation within the firm and clients.
- Contribute to internal capability building, helping shape data engineering practices, tools, and frameworks that enhance delivery quality and efficiency.
Essential competencies
- Strong communicator, able to clearly articulate technical concepts to both technical and non-technical stakeholders.
- Confident working independently or as part of a collaborative, cross-functional team.
- Skilled at building trust with clients and colleagues, with a consultative and solution-focused approach.
- Demonstrated leadership and mentoring capabilities, supporting the growth and development of engineering teams.
- Organised and adaptable, with excellent time management and the ability to respond to shifting priorities.
- Self-motivated, proactive, and committed to continuous learning and improvement.
- Creative problem-solver with the ability to think critically and deliver innovative, practical solutions.
- Team-oriented, with a positive attitude and a strong sense of ownership and accountability.
Technologies, Methodologies and Frameworks:
- Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview.
- Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt).
- Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB).
- Familiarity with data governance, metadata management, and data quality frameworks.
- Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring.
- Solid understanding of data security and compliance best practices, including secure data handling and regulatory requirements (e.g., Secure by design).
- Comfortable working in agile, multi-disciplinary teams, contributing across the full delivery lifecycle and supporting continuous improvement.
- Adaptable and quick to learn new tools, frameworks, and technologies to meet the needs of diverse client projects.
Senior Data Engineer (SC Cleared) employer: CALIO Consulting Group (CCG)
Contact Detail:
CALIO Consulting Group (CCG) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (SC Cleared)
✨Tip Number 1
Make sure to showcase your experience with cloud-native data services, especially Microsoft Azure and its components like Fabric and Synapse. Highlight any specific projects where you designed scalable data pipelines or integration workflows, as this will resonate well with our technical requirements.
✨Tip Number 2
Demonstrate your leadership and mentoring skills by sharing examples of how you've supported the growth of engineering teams in previous roles. We value candidates who can foster a culture of continuous improvement and knowledge sharing.
✨Tip Number 3
Prepare to discuss your approach to collaborating with multidisciplinary teams. Be ready to provide examples of how you've effectively communicated complex technical concepts to both technical and non-technical stakeholders, as this is crucial for the role.
✨Tip Number 4
Stay updated on emerging technologies and be prepared to discuss how you've evaluated their relevance in past projects. Showing your commitment to innovation and continuous learning will set you apart as a candidate who aligns with our values.
We think you need these skills to ace Senior Data Engineer (SC Cleared)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with cloud-native services like Microsoft Azure and tools such as Python and SQL. Emphasise your leadership and mentoring skills, as well as your ability to communicate complex ideas clearly.
Craft a Compelling Cover Letter: In your cover letter, address how your experience aligns with the key responsibilities outlined in the job description. Mention specific projects where you led technical delivery or collaborated with multidisciplinary teams, showcasing your problem-solving abilities and innovative solutions.
Showcase Technical Skills: Include a section in your application that lists your technical competencies, especially those mentioned in the job description, such as experience with ETL/ELT frameworks and data governance. This will help demonstrate your fit for the role.
Prepare for Potential Questions: Anticipate questions related to your experience with data pipelines, testing strategies, and client engagement. Be ready to discuss how you've implemented best practices in previous roles and how you stay current with emerging technologies.
How to prepare for a job interview at CALIO Consulting Group (CCG)
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with cloud-native data services, particularly in Microsoft Azure and related tools. Highlight specific projects where you've designed and implemented scalable data pipelines, as this will demonstrate your hands-on knowledge and ability to deliver complex solutions.
✨Communicate Clearly and Effectively
As a Senior Data Engineer, you'll need to articulate technical concepts to both technical and non-technical stakeholders. Practice explaining your past projects and the technologies used in simple terms, ensuring you can convey complex ideas clearly during the interview.
✨Demonstrate Leadership and Mentoring Skills
Prepare examples of how you've mentored or supported your team in previous roles. Discuss your approach to fostering a culture of continuous improvement and knowledge sharing, as this aligns with the responsibilities of the position.
✨Emphasise Adaptability and Problem-Solving
Be ready to discuss how you've adapted to shifting priorities in past projects and provide examples of creative problem-solving. This will showcase your ability to thrive in a dynamic environment and your commitment to delivering innovative solutions.
