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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 remote work, competitive salary, 25 days holiday, and health insurance.
- 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 required.
- Other info: Remote onboarding 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 the latest trends in big data technologies, especially SQL, Databricks, and Azure. This knowledge will not only help you during interviews but also demonstrate your commitment to staying current in the field.
✨Tip Number 2
Showcase your leadership experience by preparing examples of how you've successfully led Agile teams in the past. Be ready to discuss specific challenges you faced and how you overcame them to foster a positive team culture.
✨Tip Number 3
Network with professionals in the big data space, particularly those who have experience with B2B SaaS solutions. Engaging with industry peers can provide valuable insights and potentially lead to referrals for the position.
✨Tip Number 4
Prepare to discuss your approach to stakeholder management and collaboration with product teams. Highlight any successful projects where you facilitated communication between technical and non-technical teams to ensure project success.
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 Agile methodologies. Emphasise any relevant technical skills, particularly with SQL, Databricks, and Azure.
Craft a Compelling Cover Letter: In your cover letter, express your passion for developing team culture and your approach to mentoring others. Mention specific examples of how you've successfully led teams and implemented best practices in data engineering.
Showcase Communication Skills: Since excellent communication and stakeholder management skills are crucial for this role, consider including examples in your application that demonstrate your ability to collaborate effectively with various teams and stakeholders.
Highlight Relevant Achievements: Include quantifiable achievements in your application, such as improvements in team performance or successful project completions. This will help illustrate your impact as a leader in previous roles.
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 can effectively communicate technical concepts to non-technical audiences. Prepare examples of past experiences where you successfully managed stakeholder expectations and contributed to decision-making processes.
✨Emphasise Your Commitment to Best Practices
The company values data engineering best practices. Be ready to discuss how you've established and maintained these practices in your previous roles. Share insights on how you plan to implement them within the new team to ensure high-quality outputs.