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- Tasks: Lead and shape our Data Engineering function with hands-on design and management.
- Company: Progeny is a pioneering firm combining financial planning, asset management, and legal services in the UK.
- Benefits: Enjoy remote work options with occasional office visits and a supportive team culture.
- Why this job: Join a forward-thinking company making real change while developing your leadership skills in data engineering.
- Qualifications: Experience in building Data Engineering frameworks and knowledge of Azure technologies required.
- Other info: Apply early as we may close the vacancy once we receive enough applications.
The predicted salary is between 48000 - 72000 £ per year.
Description
As Head of Data Engineering, you will join our growing Data team to build and shape our Data Engineering function. Taking a hands-on approach, you will lead the design and management of our data infrastructure, architecture, pipelines, and solutions. With excellent leadership skills and interpersonal skills, you will be a natural communicator with the ability to scale and lead a high-performing team.
Department: Technology
Location: Leeds, UK
Please note this opportunity offers home-based working but will require occasional travel to our offices.
Key Responsibilities
- Shaping and developing data engineering capabilities and influencing the direction of the team.
- Being the SME on design, development, and deployment of data ETL pipelines using Azure Data Factory, Azure Synapse, and other technologies to transform and access data from on-prem and cloud structures.
- Developing high-quality data pipelines and adopting engineering principles including domain-driven design, test-driven development, and clear separation of concerns.
- Shaping the overall strategic data and analytical capabilities and influencing adoption of best practices to continuously improve standards across the team.
- Building and leading the Data Engineering team to support development, continuous improvement, and identify skills and educational requirements.
- Developing complex data products and solutions whilst managing projects and balancing the need for delivery.
- Building relationships with internal and external stakeholders and influencing a data-driven culture.
Skills, Knowledge and Expertise
- Demonstrable experience of building Data Engineering capabilities and frameworks from start to finish.
- Experience working in a regulated environment, ideally in the provision of financial or legal services.
- Previous experience in designing enterprise Data Models for Business Intelligence and key systems such as CRM\’s.
- Strong knowledge of database architecture and data warehousing.
- Experience using Azure Data Factory, Azure Synapse, and similar technologies.
- A natural leader with the ability to guide cultural change and foster collaboration.
Benefits
- 30 days holiday plus public holidays
- 3 days of celebratory leave (to be used for your birthday, wellbeing, volunteering, or other celebratory events important to you).
- Private medical insurance, 24/7 digital GP and health advice
- Employee assistance programme providing support for your mental and physical health
- Group pension scheme
- Life assurance scheme
- Eyecare vouchers
- Enhanced family leave
- Referral scheme
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Engineering and Information Technology
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Head of Data Engineering employer: Progeny
Contact Detail:
Progeny Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Engineering
✨Tip Number 1
Make sure to showcase your hands-on experience with Azure Data Factory and Azure Synapse during any discussions. Highlight specific projects where you've successfully designed and managed data pipelines, as this will resonate well with the hiring team.
✨Tip Number 2
Demonstrate your leadership skills by preparing examples of how you've built and led high-performing teams in the past. Be ready to discuss how you foster collaboration and drive cultural change within a team setting.
✨Tip Number 3
Familiarize yourself with Progeny's mission and values, especially their focus on using technology to enhance client relationships. This understanding will help you align your responses with their goals during interviews.
✨Tip Number 4
Network with current or former employees of Progeny to gain insights into the company culture and expectations for the Head of Data Engineering role. This can provide you with valuable information that can set you apart from other candidates.
We think you need these skills to ace Head of Data Engineering
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Head of Data Engineering position. Understand the key responsibilities and required skills, especially around data engineering capabilities, Azure technologies, and leadership qualities.
Tailor Your CV: Customize your CV to highlight relevant experience in data engineering, particularly your work with Azure Data Factory and Azure Synapse. Emphasize your leadership skills and any experience in regulated environments, as these are crucial for this role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your vision for leading a team. Mention specific examples of how you've shaped data capabilities in previous roles and how you can contribute to Progeny's mission.
Highlight Your Achievements: In both your CV and cover letter, include quantifiable achievements that demonstrate your ability to build data pipelines and lead teams. Use metrics to show how your contributions have positively impacted previous organizations.
How to prepare for a job interview at Progeny
✨Showcase Your Leadership Skills
As a Head of Data Engineering, you'll need to demonstrate your leadership abilities. Prepare examples of how you've successfully led teams in the past, focusing on your communication style and how you foster collaboration.
✨Highlight Your Technical Expertise
Be ready to discuss your experience with Azure Data Factory, Azure Synapse, and other relevant technologies. Provide specific examples of projects where you've designed and implemented data pipelines, showcasing your technical skills and problem-solving abilities.
✨Understand the Company Culture
Progeny values a data-driven culture and continuous improvement. Research their mission and values, and be prepared to discuss how you can contribute to fostering this culture within the team.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to handle real-world challenges in data engineering. Think about scenarios where you've had to balance project delivery with quality and compliance, especially in regulated environments.
