SC Cleared Data Consultants and Analysts
New Today
Connect and harmonise data from multiple sources, ensuring clean, reliable, and compliant data pipelines. Data Modelling:
Design and manage data models to create logical data structures that enhance accessibility and usability. Application Development:
Build full-stack applications using tools such as Python, SQL, and relevant frameworks, delivering intuitive user interfaces and interactive workflows. Data Governance:
Implement data lineage tracking and access controls to uphold compliance with organisational and regulatory standards. Client Collaboration:
Engage with clients to understand their needs, provide training sessions, and promote best practices for effective adoption and utilisation of data platforms. Continuous Improvement:
Contribute to internal capability building by improving frameworks, delivery processes, and team development across the consultancy. What We're Looking For SC Cleared : In this position, you will already be SC cleared. Technical Expertise:
Proven experience in data engineering, software development, or systems integration, preferably within AI, analytics, or enterprise platforms. Problem-Solving Skills:
Strong analytical abilities with a knack for troubleshooting and optimising complex data workflows. Communication Skills:
Excellent ability to engage with both technical and non-technical stakeholders, providing clear and confident guidance. Adaptability:
Comfortable working across various sectors and with diverse clients, adjusting approaches as needed. Travel Readiness:
Open to occasional travel (up to 25%) depending on project requirements. Palantir Foundry experience is an added bonus! As a
SC Cleared Data Consultant or Analyst , you'll lead the charge on some of the most complex, high-impact data programmes in the UK, helping clients unlock the power of their data while mentoring the next generation of engineering talent. Please do not hesitate to reply and reach out to Morela today to find out more!
TPBN1_UKTJ
- Location:
- Gb
- Job Type:
- FullTime
- Category:
- Science
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