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- Tasks: Lead the design and implementation of enterprise data architecture and engineering strategy.
- Company: Join a global organisation focused on unlocking the power of data through innovative platforms.
- Benefits: Enjoy a competitive salary, generous bonuses, and hybrid working options.
- Why this job: Make a real impact by driving data-driven decision-making and leading a high-performing team.
- Qualifications: Proven leadership in data engineering, expertise in Databricks, and strong technical background required.
- Other info: This is a permanent position with opportunities for professional growth and transformation.
The predicted salary is between 78000 - 156000 £ per year.
Are you an experienced data leader ready to shape the future of enterprise data architecture? This is an exciting opportunity to join a global organisation on a mission to unlock the power of data through scalable, secure, and innovative platforms.
They are searching for an experienced Director of Data Engineering to lead the design, development, and implementation of the organisation’s enterprise data architecture and engineering strategy. You'll oversee the data engineering and platform function, with a key focus on building a high-performing team and driving excellence across Databricks-based data platforms.
Key Responsibilities as Director of Data Engineering:
- Define and deliver a forward-thinking data engineering and architecture strategy aligned with business and digital goals.
- Lead and mentor a team of data engineers, architects, and platform specialists to foster innovation and excellence.
- Own the development and management of a modern, cloud-native data platform (Databricks), ensuring it’s scalable, secure, and performance-optimised.
- Design and oversee robust data pipelines (ETL/ELT) to enable seamless data ingestion, transformation, and integration.
- Drive best practices around CI/CD, containerisation, and infrastructure-as-code across data operations.
- Champion data governance principles and compliance (GDPR, internal policies), integrating them into engineering workflows.
- Work closely with stakeholders across business, data science, and IT to deliver impactful, fit-for-purpose data solutions.
Requirements as Director of Data Engineering:
- Proven leadership experience in data engineering and platform roles, ideally in a global or fast-paced environment.
- Deep expertise with Databricks and modern data platforms in the cloud (Azure, AWS, or GCP).
- Strong technical background in big data frameworks (e.g., Spark, Kafka), distributed systems, and scalable data architectures.
- Excellent understanding of data governance, security, and privacy, with practical knowledge of GDPR compliance.
- Track record of building and managing high-performing teams and driving transformation initiatives.
This is a unique opportunity to lead enterprise-wide transformation and enable data-driven decision-making at scale. If you’re ready to make a real impact with your technical leadership and strategic vision - don't hesitate to apply!
Due to the high volume of applications, we may not be able to respond to every applicant individually.
Director of Data Engineering employer: Formula Recruitment
Contact Detail:
Formula 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 data engineering field, especially those who have experience with Databricks and cloud platforms. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends in enterprise data architecture.
✨Tip Number 2
Showcase your leadership skills by discussing any previous experiences where you successfully built and managed high-performing teams. Be prepared to share specific examples of how you drove transformation initiatives in your past roles.
✨Tip Number 3
Familiarise yourself with the latest best practices around CI/CD, containerisation, and infrastructure-as-code. Being able to speak knowledgeably about these topics during interviews will demonstrate your commitment to driving excellence in data operations.
✨Tip Number 4
Understand the importance of data governance and compliance, particularly GDPR. Prepare to discuss how you've integrated these principles into engineering workflows in your previous roles, as this will be crucial for the position.
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 your leadership experience in data engineering and platform roles. Emphasise your expertise with Databricks and any relevant cloud platforms like Azure, AWS, or GCP.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data architecture and your vision for driving innovation. Mention specific examples of how you've led teams to success and implemented scalable data solutions.
Showcase Technical Skills: Detail your technical background in big data frameworks such as Spark and Kafka. Highlight your understanding of data governance and compliance, particularly GDPR, to demonstrate your fit for the role.
Prepare for Potential Questions: Anticipate questions related to your experience with data pipelines, CI/CD practices, and team management. Be ready to discuss how you would approach building a high-performing team and driving transformation initiatives.
How to prepare for a job interview at Formula Recruitment
✨Showcase Your Leadership Skills
As a Director of Data Engineering, your leadership experience is crucial. Be prepared to discuss specific examples of how you've led teams, mentored individuals, and driven transformation initiatives in previous roles.
✨Demonstrate Technical Expertise
Make sure to highlight your deep knowledge of Databricks and modern cloud platforms like Azure, AWS, or GCP. Be ready to discuss your experience with big data frameworks such as Spark and Kafka, and how you've implemented scalable data architectures.
✨Discuss Data Governance and Compliance
Given the importance of data governance and GDPR compliance, be prepared to explain how you've integrated these principles into engineering workflows. Share any relevant experiences that demonstrate your understanding of data security and privacy.
✨Align with Business Goals
The role requires aligning data strategies with business objectives. Be ready to talk about how you've previously defined and delivered data engineering strategies that support broader digital goals, and how you collaborated with stakeholders across various departments.
