Numentica

Data Engineer and Junior TPM

7 January 2025
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Deadline date:
£40000 - £75000 / year

Job Description

Role Overview:
We are looking for a Data Engineer with approximately 5 years of experience in building and managing robust data solutions. The ideal candidate is technically proficient and aspires to grow into a Junior Technical Project Manager (TPM) role by demonstrating leadership potential and process-
oriented thinking.
This position offers a unique career path to develop both technical depth and project management expertise, setting the foundation for a future in technical leadership.

Key Responsibilities:
As a Data Engineer:
 Design, develop, and optimize ETL pipelines, data models, and data integration workflows.
 Manage and enhance data lakes, data warehouses, and other data repositories.
 Collaborate with cross-functional teams to ensure high-quality data solutions aligned with business needs.
 Implement and maintain best practices for data quality, security, and governance.
 Utilize tools such as Azure, Databricks, SQL, Power BI/Tableau to deliver scalable data solutions.
 Assist in planning and coordinating data-related projects, ensuring alignment with organizational objectives.
 Participate in stakeholder communication, documenting requirements, updates, and risks.
 Monitor project timelines and deliverables to understand the project lifecycle.
 Develop a proactive approach to problem-solving and risk management.

Required Qualifications:
 5+ years of experience in data engineering or related roles with hands-on expertise in:
o ETL pipelines, data integration, and modeling
o Cloud platforms (Azure / AWS)
o Data governance tools and frameworks
 Basic understanding of project management methodologies (Agile, Scrum, or hybrid approaches).

 Effective communication and collaboration skills to interact with technical and business teams.
 Ability to learn and apply project management principles and tools
 Prior experience in Managed Services Engagements will be advantage

Key Competencies:
 Technical Proficiency: Expertise in data engineering tools and technologies.
 Problem-Solving Skills: Analytical and Problem-Solving mindset to resolve technical and organizational challenges.
 Communication Skills: Exceptional communication and interpersonal skills. Ability to articulate technical ideas to non-technical stakeholders.
 Leadership Potential: Proactive mindset, willingness to take initiative and aspire for greater responsibilities