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For Companies At a Glance
- Tasks: Lead a team of data professionals to enhance analytics and reporting.
- Company: Join a leading organisation making a real impact on communities.
- Benefits: Enjoy hybrid working, great development opportunities, and a supportive culture.
- Why this job: Be part of a tech-driven environment that values innovation and social impact.
- Qualifications: Strong expertise in data engineering, leadership experience, and passion for technology.
- Other info: Experience in social housing is a plus, but not essential.
The predicted salary is between 42000 - 84000 £ per year.
London | Hybrid (2 days in office) | £70,000 + Benefits
We are excited to offer a fantastic opportunity to join a leading organisation that we have proudly partnered with for over 10 years. This organisation provides a socially beneficial service to thousands of people, making a real impact on communities. It is a great place to work, where staff development is a priority, and a diverse, supportive, and collaborative environment is fostered. They are at the forefront of technology, using cutting-edge data solutions to enhance their services and improve customer experience.
The Role
As the Data Warehouse & Analytics Engineering Manager, you will lead a talented team of six data professionals, including Data Warehouse Developers, Analytics Engineers, and Data Modellers. This role is pivotal in driving collaboration across the organisation, acting as the bridge between data teams and the wider business, including the Data Science function. You will oversee the Analytics Engineering function, including the Power BI reporting layer and Medallion architecture, ensuring best practices and high-quality data solutions.
Key Responsibilities
- Lead and mentor a team of six data professionals, fostering technical excellence and growth.
- Act as the link between data teams and stakeholders, translating technical data challenges into clear business insights.
- Provide hands-on technical leadership, ensuring best practices in Medallion architecture, Azure DataBricks, Synapse, and ADF.
- Manage complex data flows from multiple sources and systems, ensuring accuracy and efficiency.
- Drive innovation and continuous improvement within data processes and reporting frameworks.
What We're Looking For
- Strong technical expertise in Medallion architecture, Azure DataBricks, Synapse, and ADF.
- A proven leader who knows what good looks like in data engineering and analytics.
- Experience in managing and developing a data team, with a focus on collaboration and stakeholder engagement.
- The ability to explain complex data concepts to non-technical audiences.
- A passion for leveraging data and technology to drive business improvement.
Nice to Have
- Experience in housing associations or social housing is highly desirable.
Why Join?
- Work for an organisation that truly makes a difference.
- Be part of a forward-thinking, tech-driven environment.
- A company that invests in its people, offering great development opportunities.
- Hybrid working with a balanced mix of office collaboration and remote flexibility.
If you're a technical leader with a passion for data, innovation, and making a social impact, we'd love to hear from you! Apply now to be part of something truly meaningful.
Data Warehouse & Analytics Engineering Manager employer: itecopeople
Contact Detail:
itecopeople Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Warehouse & Analytics Engineering Manager
✨Tip Number 1
Familiarise yourself with Medallion architecture and the specific tools mentioned in the job description, such as Azure DataBricks and Synapse. Being able to discuss these technologies confidently during your interview will demonstrate your technical expertise and readiness for the role.
✨Tip Number 2
Prepare examples of how you've successfully led a data team in the past. Highlight your leadership style and how you foster collaboration and growth within your team, as this is a key aspect of the role.
✨Tip Number 3
Think about how you can translate complex data concepts into insights that non-technical stakeholders can understand. Practising this skill will help you stand out, as effective communication is crucial for the position.
✨Tip Number 4
Research the organisation's mission and values, especially their focus on social impact. Be prepared to discuss how your passion for leveraging data aligns with their goals, showing that you're not just a fit for the role but also for the company culture.
We think you need these skills to ace Data Warehouse & Analytics Engineering Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering and analytics. Emphasise your leadership skills and any specific technologies mentioned in the job description, such as Medallion architecture, Azure DataBricks, and Synapse.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and technology. Explain how your background aligns with the company's mission of making a social impact and how you can contribute to their innovative environment.
Highlight Leadership Experience: In your application, focus on your experience managing and developing teams. Provide examples of how you've fostered collaboration and engagement among stakeholders, as this is crucial for the role.
Showcase Technical Expertise: Clearly outline your technical skills related to the role. Mention specific projects or achievements that demonstrate your proficiency in the required technologies and your ability to translate complex data concepts for non-technical audiences.
How to prepare for a job interview at itecopeople
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Medallion architecture, Azure DataBricks, Synapse, and ADF in detail. Highlight specific projects where you successfully implemented these technologies and the impact they had on the organisation.
✨Demonstrate Leadership Skills
As a potential leader of a team, share examples of how you've mentored or developed data professionals in the past. Discuss your approach to fostering collaboration and technical excellence within a team.
✨Translate Technical Concepts
Practice explaining complex data concepts in simple terms. This role requires acting as a bridge between technical teams and non-technical stakeholders, so showcasing your ability to communicate effectively is crucial.
✨Emphasise Your Passion for Social Impact
Since the organisation focuses on making a difference in communities, express your enthusiasm for leveraging data to drive social change. Share any relevant experiences that align with their mission and values.
