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- Tasks: Lead data engineering efforts and integrate new data sets into Azure Synapse.
- Company: Join a growing team focused on innovative data strategies and infrastructure.
- Benefits: Enjoy hybrid work flexibility and the chance to shape a high-performing team.
- Why this job: Be a key player in driving data strategy and governance with real impact.
- Qualifications: Experience in data engineering, architecture, and leadership is essential.
- Other info: This is a brand-new role with opportunities for growth and innovation.
The predicted salary is between 43200 - 72000 £ per year.
Head of Data Engineering Hybrid working / LeedsAbout the Role:We are seeking a visionary and experienced Head of Data Engineering to join a growing team. This is a brand-new role designed for someone who is passionate about driving data strategy, building data infrastructure, and ensuring seamless integration of new data sets. You\’ll have the unique opportunity to take ownership of the Azure Synapse environment, which has already been deployed for the past couple of years, and work on scaling and optimizing it for the future.As the Head of Data Engineering, you will play a pivotal role in integrating data definitions, metadata, and ensuring a seamless data flow from systems into Azure Synapse. You will be responsible for the architectural design, implementation, and expansion of the data ecosystem, working alongside business units to integrate data into business processes and ensuring that data governance, risk management frameworks, and controls are followed rigorously.This is a leadership role, where you will initially work independently, taking the reins as the Data Engineering Lead, with the intention to build and scale out a high-performing data engineering team over time.Key Responsibilities:* Lead & Build: Lead the integration of new data sets into the Azure Synapse environment while ensuring scalability and performance. Initially operate as the sole leader of data engineering efforts, with plans to expand the team.* Data Architecture: Design and optimize data ar…
Head of Data Engineering - Hybrid employer: BCT Resourcing
Contact Detail:
BCT Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Engineering - Hybrid
✨Tip Number 1
Familiarize yourself with Azure Synapse and its capabilities. Understanding how to optimize and scale this environment will be crucial in your role, so consider exploring online resources or courses that focus specifically on Azure data solutions.
✨Tip Number 2
Showcase your leadership skills by preparing examples of how you've successfully led data engineering projects in the past. Be ready to discuss your approach to building high-performing teams and how you plan to foster a collaborative environment.
✨Tip Number 3
Highlight your experience with data governance and risk management frameworks. Be prepared to discuss specific strategies you've implemented to ensure data integrity and compliance in previous roles.
✨Tip Number 4
Network with professionals in the data engineering field, especially those who have experience with Azure. Engaging with industry peers can provide valuable insights and may even lead to referrals that could strengthen your application.
We think you need these skills to ace Head of Data Engineering - Hybrid
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly understand the responsibilities and requirements of the Head of Data Engineering position. Highlight your experience in data strategy, infrastructure, and Azure Synapse in your application.
Tailor Your CV: Customize your CV to reflect your leadership experience and technical skills relevant to data engineering. Emphasize any previous roles where you led teams or projects, particularly in data architecture and integration.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your vision for the role. Discuss how your background aligns with the company's goals and how you plan to drive their data strategy forward.
Highlight Relevant Projects: In your application, mention specific projects where you successfully implemented data solutions or improved data governance. Use metrics to demonstrate the impact of your work, such as performance improvements or cost savings.
How to prepare for a job interview at BCT Resourcing
✨Show Your Vision for Data Strategy
As a candidate for the Head of Data Engineering, it's crucial to articulate your vision for data strategy. Be prepared to discuss how you would approach building and optimizing the Azure Synapse environment, and share examples of past successes in similar roles.
✨Demonstrate Leadership Skills
Since this is a leadership role, highlight your experience in leading teams and projects. Discuss your approach to building high-performing teams and how you plan to scale the data engineering team over time.
✨Emphasize Technical Expertise
Make sure to showcase your technical skills related to data architecture and integration. Be ready to dive into specifics about your experience with Azure Synapse and how you've successfully managed data flows and governance in previous positions.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities. Think about challenges you've faced in data engineering and how you overcame them, particularly in terms of integrating new data sets and ensuring performance and scalability.
