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- Tasks: Lead the development of data strategy and ensure accurate data access for stakeholders.
- Company: Join a UK-based financial services provider focused on fair and user-friendly financial products.
- Benefits: Enjoy a full-time role with opportunities for growth in a dynamic industry.
- Why this job: Make a real impact on personal finance while working with cutting-edge technology and a passionate team.
- Qualifications: Experience in data engineering, proficiency in Python and SQL, and knowledge of financial services preferred.
- Other info: Be part of a mission to empower individuals through better financial understanding and control.
The predicted salary is between 72000 - 108000 ÂŁ per year.
Get AI-powered advice on this job and more exclusive features. Director | Headhunter | Invoice Finance & ABL | Venture Debt & Growth Cap | Women in Business A new UK-based financial services provider is launching a credit card offering aimed at delivering fair, flexible, and user-friendly financial products to consumers. The organisation is committed to empowering individuals by enhancing their understanding and control of personal finance through clarity, intelligence, and technology. Its products are designed to simplify money management, giving customers more financial control and flexibility. The goal is to enable smarter financial decisions so people can focus more on the positive aspects of life, rather than the stresses associated with managing money. As Head of Data , you will lead the development and implementation of the company’s data strategy. You’ll be responsible for ensuring stakeholders have access to accurate and timely data, working closely with a Data Product Owner to align data initiatives with business objectives. Define and communicate the organization’s data strategy, ensuring alignment with key functions such as risk, finance, product, and customer service. Promote data literacy across the organization by enabling self-service capabilities for non-technical teams. Lead the design and rollout of a scalable data warehouse to support analytics and reporting. Translate business requirements into technical solutions in partnership with the Data Product Owner. Influence the evolution of the loan management system to reflect data strategy goals. Manage the development and maintenance of data models, pipelines, and warehousing infrastructure. Ensure high standards of data quality, security, and consistency. Collaborate with engineering teams to define and track key performance indicators. Build and manage a high-performing team of data engineers and analysts. Ensure adherence to regulatory standards such as FCA compliance and GDPR. Lead the data governance forum and contribute to best practices in data management. Implements rigorous checks to ensure data integrity. Self-driven with a strong curiosity for systems and data. Demonstrated experience in senior roles related to data engineering or data platform development. Proficient in Python and SQL. Familiar with data integration tools and frameworks (e.g., AWS). Strong knowledge of data modeling, warehousing, and big data platforms. Background in financial services, especially credit or lending data, is advantageous. Employment type Full-time Job function Information Technology, Management, and Strategy/Planning Industries Banking and Financial Services Sign in to set job alerts for “Head of Engineering” roles. Vice President of Engineering – ThriveCart VP of Engineering – Platform & Architecture Global Head of Data Engineering – ÂŁ250k tc We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #
Director of Data Engineering employer: Fintellect Recruitment
Contact Detail:
Fintellect Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director of Data Engineering
✨Tip Number 1
Network with professionals in the financial services sector, especially those involved in data engineering. Attend industry events or webinars to connect with potential colleagues and learn about the latest trends in data management.
✨Tip Number 2
Familiarise yourself with the specific data tools and technologies mentioned in the job description, such as AWS, Python, and SQL. Consider taking online courses or certifications to enhance your skills and demonstrate your commitment to the role.
✨Tip Number 3
Prepare to discuss your previous experience in leading data teams and implementing data strategies. Be ready to share specific examples of how you've improved data quality and governance in past roles.
✨Tip Number 4
Research the company’s mission and values, particularly their focus on empowering individuals through financial literacy. Tailor your conversations to show how your vision aligns with theirs, highlighting your passion for making a positive impact in the financial services industry.
We think you need these skills to ace Director of Data Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering and management. Focus on your leadership roles, particularly those that involved developing data strategies or managing teams.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and how it can empower individuals in financial services. Mention specific examples of how you've successfully implemented data strategies in previous roles.
Showcase Technical Skills: Clearly outline your proficiency in Python, SQL, and any data integration tools you’ve used. Provide examples of projects where you applied these skills to achieve business objectives.
Highlight Regulatory Knowledge: Since the role involves adherence to regulatory standards, mention your familiarity with FCA compliance and GDPR. This will demonstrate your understanding of the importance of data governance in financial services.
How to prepare for a job interview at Fintellect Recruitment
✨Showcase Your Data Strategy Vision
As a Director of Data Engineering, it's crucial to articulate your vision for the company's data strategy. Be prepared to discuss how you would align data initiatives with business objectives and promote data literacy across the organisation.
✨Demonstrate Technical Proficiency
Make sure to highlight your experience with Python, SQL, and data integration tools like AWS. Be ready to provide examples of how you've successfully implemented data models and warehousing infrastructure in previous roles.
✨Emphasise Leadership Skills
This role requires building and managing a high-performing team. Share your experiences in leading teams, fostering collaboration, and driving performance. Discuss how you would support non-technical teams in understanding and using data.
✨Understand Regulatory Standards
Familiarity with FCA compliance and GDPR is essential. Prepare to discuss how you have ensured adherence to these standards in past projects and how you would implement rigorous checks for data integrity in this new role.
