Data Engineer, Analyst
Content + Source + Freshness • 16 Dec 2025 • 95% confidence
Offer value
High value due to the strategic role of data engineering in businesses and the potential for impactful data-driven decision making.
- In-demand role in dynamic data analytics field
- Opportunity to work with diverse data sources
- Significant growth potential in tech-focused organizations
Pros
- Growing field with increasing demand for data professionals
- Opportunity to work on significant analytics projects
- Collaborative work environment with cross-functional teams
Cons
- Requires a strong analytical mindset and technical expertise
- Possible pressure to deliver insights under tight deadlines
- Balance of technical and business communication can be challenging
Who it's for
Mid-level • Full-time
Good fit
- Data engineers with experience in analytical projects
- Collaborative individuals who enjoy team-driven environments
- Tech-savvy professionals looking to advance in data careers
Not recommended for
- Entry-level candidates without data engineering background
- Individuals who prefer to work independently
- Those hesitant to work with large data sets
Motivation fit
Key skills
About the job
• Design, build and maintain data pipelines from multiple structured and unstructured sources
• Cleanse, organise and model data for advanced analytics and reporting
• Develop data glossaries and manage metadata for internal and client-facing use
• Implement and administer knowledge frameworks to connect and enrich data assets
• Build dashboards and reports to surface insights for business and client stakeholders
• Collaborate with cross-functional teams to deliver scalable, data-driven solutions
Requirements
- Hands-on experience with data engineering and analytics tools
- Strong understanding of data management, modelling, and integration practices
- Experience with APIs and connectors for data sourcing
- Analytical mindset with attention to detail and problem-solving ability
- Comfortable working in a collaborative, high-growth environment
- Prior exposure to financial services or regulated industries advantageous
🔍 ATS Optimization Keywords
Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility. This unique feature helps candidates tailor their applications more effectively — a feature exclusive to JobTailor job listings.
Hard Skills
- data engineering
- data analytics
- data management
- data modelling
- data integration
- APIs
- data sourcing
- data cleansing
- data organization
- data reporting
Soft Skills
- analytical mindset
- attention to detail
- problem-solving
- collaboration
- adaptability
