At a Glance
- Tasks: Lead data strategies and modern cloud platform delivery for PE-backed businesses.
- Company: Join a dynamic PE Fund focused on enhancing data capabilities.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborate with CEOs and CTOs in a fast-paced, innovative environment.
- Why this job: Shape the future of data and drive impactful business transformations.
- Qualifications: Experience in Data Engineering or Architecture with strong SQL and Python skills.
The predicted salary is between 80000 - 100000 £ per year.
Finatal is exclusively partnering with a PE Fund as they continue to invest heavily in the data capabilities of their portfolio companies. Sitting within the Value Creation team, this role offers the opportunity to combine technical leadership with hands-on delivery across a portfolio of PE-backed businesses. Working directly with CEOs, CFOs, and CTOs, you will help shape data strategies, define target-state architectures, and support the delivery of modern data platforms that enable reporting, forecasting, advanced analytics, data science, AI, and wider business growth. The role is suited to someone from a Data Engineering, Data Platform or Architecture background who enjoys remaining close to technology whilst having greater influence over business and technology decisions.
You'll be involved in platform design and development, cloud architecture, and engineering best practices. You'll also support teams across data warehousing, orchestration, CI/CD, governance, and platform modernisation initiatives, helping establish the foundations required for analytics, data science, and AI use cases across a range of PE-backed businesses.
Role- Assess data maturity, identify opportunities for improvement, and advise CEOs, CFOs, and CTOs on data, analytics, and AI initiatives that drive measurable commercial outcomes.
- Support the design, build, and optimisation of modern cloud data platforms, data warehouses, and analytics environments.
- Define scalable target-state architectures and provide guidance on data engineering best practices across data modelling, orchestration, governance, quality, testing, and platform design.
- Work with both business and technical stakeholders to shape data platform roadmaps and support the delivery of modern cloud data solutions.
- Help establish the data foundations required to support advanced analytics, data science, AI, and wider business transformation initiatives.
- Work alongside internal teams and third-party partners to deliver platform modernisation and data transformation programmes across multiple businesses.
- Experience within Data Engineering, Data Architecture, Analytics Engineering, Platform Engineering, or a similar environment.
- Strong SQL and working Python skills.
- Experience with modern cloud data platforms across Azure, AWS, or GCP.
- Comfortable engaging with both senior business stakeholders and technical teams.
- Experience working within consulting, professional services, PE-backed, or transformational environments would be advantageous.
Data Engineering Manager employer: Finatal
Finatal is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to take on significant responsibilities while working closely with senior leaders in the private equity sector. With a strong focus on professional development, team members are encouraged to enhance their skills in data engineering and cloud architecture, contributing to impactful projects that drive business growth across a diverse portfolio of companies. Located in a dynamic environment, Finatal offers unique opportunities for meaningful engagement in cutting-edge data initiatives, making it an ideal place for those seeking to make a difference in the world of data.
