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- Tasks: Lead and develop Agile tech teams handling massive data sets.
- Company: Join a dynamic tech company offering innovative B2B SaaS solutions.
- Benefits: Enjoy a competitive salary, 25 days holiday, health insurance, and a pension plan.
- Why this job: Make an impact by fostering team growth and innovation in a supportive culture.
- Qualifications: Experience in leading data engineering teams and establishing best practices is essential.
- Other info: Work remotely with monthly team meet-ups in Nottingham.
The predicted salary is between 54000 - 84000 £ per year.
Engineering Manager (Big Data Agile) Nottingham / WFH to £75k
Do you enjoy leading and developing successful Agile tech teams? You could be progressing your career in an impactful role at a tech company that provides a range of B2B SaaS solutions.
As an Engineering Manager you\’ll head up a newly formed team that deals with customer facing reporting on big data sets, they process 120 billion lines of data per day using SQL and Databricks in Azure. You\’ll help the team to scale-up with data engineering best practices and processes at the core. You will be key in developing others to succeed and progress their careers, instilling a positive team culture, providing line management, 1-2-1s and promoting from within the team.
You will have lots of business interaction, collaborating with the Product Team to ensure delivery of new innovations, working with business stakeholders to input into decision making.
Location / WFH:
There\’s a remote interview and onboarding process and you\’ll be able to work from most of the time, meeting up with the team for constructive meetings once a month in the Nottingham office.
About you:
- You have experience of leading high achieving data engineering teams
- You have experience of establishing data engineering best practices and inclusive cultures
- You have a technical background, with a strong understanding of Data Warehouses, SQL; Databricks and Azure experience is also desirable although this is a hands-off role a technical understanding is required
- You enjoy developing others and helping them to improve and succeed
- You have excellent communication and stakeholder management skills
What\’s in it for you:
As an Engineering Manager you will earn a competitive salary plus a range of benefits:
- Up to £75k
- 25 days holiday
- Vitality health insurance
- 5% non-contributory pension
- Death in Service
- Travel allowance to the Nottingham office
Apply now to find out more about this Engineering Manager (Big Data Agile) opportunity.
At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We\’re an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
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Engineering Manager Big Data employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager Big Data
✨Tip Number 1
Familiarise yourself with Agile methodologies and be prepared to discuss how you've successfully led Agile teams in the past. Highlight specific examples where your leadership has directly contributed to team success and innovation.
✨Tip Number 2
Brush up on your technical knowledge of data engineering best practices, especially around SQL, Databricks, and Azure. Even though this is a hands-off role, demonstrating your understanding of these technologies will show that you can effectively lead a technical team.
✨Tip Number 3
Prepare to discuss your experience in developing team culture and mentoring others. Think of specific instances where you've helped team members grow in their roles, as this aligns closely with the responsibilities of the Engineering Manager position.
✨Tip Number 4
Since this role involves significant collaboration with business stakeholders, practice articulating how you've managed stakeholder relationships in previous roles. Be ready to share examples of how you've facilitated communication between technical teams and non-technical stakeholders.
We think you need these skills to ace Engineering Manager Big Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in leading data engineering teams and your understanding of SQL, Databricks, and Azure. Use specific examples to demonstrate how you've established best practices and fostered inclusive cultures.
Craft a Compelling Cover Letter: In your cover letter, express your passion for developing others and your approach to instilling a positive team culture. Mention your communication skills and how you’ve successfully collaborated with stakeholders in previous roles.
Showcase Relevant Achievements: Include quantifiable achievements related to big data projects or team leadership in your application. For instance, mention any significant improvements in team performance or successful project deliveries that you have overseen.
Prepare for the Interview: Anticipate questions about your leadership style and how you handle team dynamics. Be ready to discuss your technical background and how it informs your management approach, especially in relation to data engineering best practices.
How to prepare for a job interview at Client Server
✨Showcase Your Leadership Skills
As an Engineering Manager, you'll be leading a team. Be prepared to discuss your previous experiences in managing teams, particularly in Agile environments. Highlight specific examples where you successfully developed team members and fostered a positive culture.
✨Demonstrate Technical Understanding
Even though this is a hands-off role, having a solid grasp of data engineering concepts is crucial. Brush up on your knowledge of SQL, Databricks, and Azure. Be ready to explain how these technologies can be leveraged to improve team performance and project outcomes.
✨Prepare for Stakeholder Interaction
You'll be collaborating with various business stakeholders. Think about how you've effectively communicated with non-technical teams in the past. Prepare examples that showcase your ability to bridge the gap between technical and business needs.
✨Emphasise Your Commitment to Best Practices
The role requires establishing data engineering best practices. Be ready to discuss your approach to implementing these practices in previous roles. Share insights on how you ensure inclusivity and continuous improvement within your teams.