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- Tasks: Lead a team in creating innovative data solutions and managing modern data pipelines.
- Company: Join a top consultancy firm transforming data into strategic insights for clients.
- Benefits: Enjoy a competitive salary, bonuses, and a collaborative, inclusive work culture.
- Why this job: Be at the forefront of data engineering, driving innovation and making impactful decisions.
- Qualifications: Bring extensive data engineering experience and strong leadership skills to the table.
- Other info: Ideal for those passionate about technology and eager to mentor a high-performing team.
The predicted salary is between 72000 - 108000 £ per year.
A leading consultancy firm dedicated to delivering transformative data solutions. They empower their clients to harness the power of data through innovative engineering practices, enabling them to make data-driven decisions and achieve their strategic objectives.
They are seeking a Senior Manager for Modern Data Engineering to lead and expand their data engineering practice. This role is designed for an experienced leader who is both technically proficient in data engineering and skilled in managing high-performing teams. The ideal candidate will be responsible for driving the development of modern data pipelines, ensuring data accessibility, quality, and security while fostering a collaborative culture within the team.
Responsibilities
- Lead and manage the Modern Data Engineering team, providing strategic direction and mentorship.
- Design and implement scalable, robust data pipelines and architectures that meet client needs using modern technologies.
- Drive best practices in data engineering, including automation, data quality, governance, and security.
- Collaborate with stakeholders to understand data requirements and develop data solutions that support business objectives.
- Oversee project delivery, ensuring that projects are completed on time, within budget, and to the highest quality standards.
- Stay current with industry trends and emerging technologies related to data engineering and analytics.
- Foster a culture of innovation and continuous improvement, encouraging team members to develop their skills and knowledge.
- Build strong relationships with clients, acting as a trusted advisor on data engineering best practices and strategies.
- Lead the development of proposals and presentations for new business opportunities.
Qualifications
- Extensive experience in data engineering, with a strong understanding of modern data technologies (e.g., cloud platforms like AWS, Azure, GCP, and data tools such as Apache Spark, Kafka, dbt, etc.).
- Proven track record of leading and managing data engineering teams in a consultancy or similar environment.
- Strong expertise in building ETL/ELT processes and data pipelines across various data sources.
- Excellent problem-solving skills and the ability to think strategically and execute tactically.
- Familiarity with data governance and compliance practices.
- Strong communication skills, with the ability to engage and influence stakeholders at all levels of the organization.
- Relevant educational background (degree in Computer Science, Data Science, Engineering, or a related field).
- Certifications in relevant data technologies or methodologies are a plus (e.g., AWS Certified Data Analytics, Microsoft Certified: Azure Data Engineer).
Benefits
- Up to £102,000 + good bonus
- A collaborative and inclusive work environment that values diversity and innovation.
Senior Manager, Modern Data Engineering employer: Hunter Bond
Contact Detail:
Hunter Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Manager, Modern Data Engineering
✨Tip Number 1
Make sure to showcase your leadership experience in data engineering. Highlight specific instances where you've successfully managed teams and delivered projects, as this role emphasizes team management and strategic direction.
✨Tip Number 2
Stay updated on the latest trends and technologies in data engineering. Being knowledgeable about modern tools like AWS, Azure, and Apache Spark will not only help you in interviews but also demonstrate your commitment to continuous learning.
✨Tip Number 3
Prepare to discuss your approach to building scalable data pipelines and ensuring data quality. Be ready to provide examples of how you've implemented best practices in previous roles, as this is a key responsibility of the position.
✨Tip Number 4
Network with professionals in the data engineering field. Engaging with others can provide insights into the consultancy landscape and may even lead to referrals, which can significantly boost your chances of landing the job.
We think you need these skills to ace Senior Manager, Modern Data Engineering
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Senior Manager, Modern Data Engineering position. Understand the key responsibilities and qualifications required, and think about how your experience aligns with these.
Tailor Your CV: Customize your CV to highlight your relevant experience in data engineering and team management. Emphasize your technical skills with modern data technologies and any leadership roles you've held in similar environments.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your leadership style. Mention specific examples of how you've successfully led teams and delivered data solutions that met client needs.
Highlight Relevant Projects: In your application, include details about specific projects where you designed and implemented data pipelines or architectures. Discuss the technologies used and the impact these projects had on business objectives.
How to prepare for a job interview at Hunter Bond
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with modern data technologies like AWS, Azure, and tools such as Apache Spark and Kafka. Highlight specific projects where you designed and implemented scalable data pipelines.
✨Demonstrate Leadership Skills
Share examples of how you've successfully led and managed high-performing teams in a consultancy environment. Discuss your approach to mentoring team members and fostering a collaborative culture.
✨Understand Client Needs
Prepare to talk about how you engage with stakeholders to understand their data requirements. Provide examples of how you've developed data solutions that align with business objectives.
✨Stay Current with Industry Trends
Show your enthusiasm for continuous learning by discussing recent trends and emerging technologies in data engineering. This demonstrates your commitment to innovation and improvement in the field.
