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- Tasks: Lead a dynamic team to develop and manage data engineering strategies and initiatives.
- Company: Join a forward-thinking company focused on leveraging data for business success.
- Benefits: Enjoy flexible work options, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of data innovation, driving impactful projects in a collaborative environment.
- Qualifications: Degree in a data-related field or equivalent experience; leadership in data teams required.
- Other info: Stay updated with industry trends and enhance your skills in a supportive culture.
The predicted salary is between 43200 - 72000 £ per year.
The Data Engineering Manager is responsible for establishing and overseeing the Data Engineering and Data Ops functions, ensuring the efficient and effective management of data to drive business value.
Key Responsibilities
- Develop and own the data engineering strategy and roadmap to maximize long-term business value.
- Prioritize, plan, and ensure the timely and high-quality delivery of data engineering initiatives.
- Oversee third-line support, technology upgrades, and the introduction of new technologies within agreed timelines.
- Provide technical guidance and mentorship to the team and wider organization on data engineering challenges and solutions.
- Design and architect scalable data pipelines for efficient data ingestion, transformation, and loading.
- Manage and optimize data platforms, including infrastructure, upgrades, and connectivity.
- Build and lead a high-performing Data Engineering team, including internal staff and third-party resources.
- Establish clear service definitions, SLAs, and performance expectations for the team, ensuring adherence.
- Act as a data and analytics champion, fostering a culture of innovation and excellence within the Analytics & Insight team.
- Stay abreast of industry trends and emerging technologies to enhance data infrastructure and capabilities.
- Manage budgets for data-related activities and projects within the broader analytics budget.
- Establish and manage third-party commercial agreements, including vendor selection and contract negotiations.
- Collaborate with stakeholders across functions to align data engineering initiatives with business goals.
- Leverage a deep understanding of the business and data landscape to drive value through data initiatives.
Required Expertise
- Degree or equivalent qualification in a data-related discipline or relevant experience in high-performing Data Engineering and Analytics functions.
- Proven leadership experience in managing Data, Environment, and Release Delivery teams, including resource and cost management.
- Expertise in Data Engineering and Environment management, preferably in AWS, with experience in automation tools.
- Strong knowledge of SQL & Python, with hands-on experience in data engineering tools and technologies.
- Experience working on data science and machine learning projects.
- Familiarity with Data Ops or DevOps environments and software development life cycles.
Key Competencies & Attributes
- Strong team development and performance management skills.
- Ability to coach and motivate teams under pressure and manage competing priorities.
- A commitment to continuous learning and staying up to date with evolving technologies.
- Attention to detail, fairness, and integrity.
- Inquisitive and innovative mindset, with a drive to explore new processes and methodologies.
- Excellent communication and collaboration skills, with the ability to engage stakeholders across business functions.
- A positive leader with a growth mindset, striving to build a high-performing data function.
- Strong decision-making and problem-solving capabilities.
- Ability to balance business objectives with resource constraints and competing priorities.
Data Engineering Manager employer: TalentHawk
Contact Detail:
TalentHawk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager
✨Tip Number 1
Network with professionals in the data engineering field, especially those who have experience in managing teams. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences at companies similar to StudySmarter.
✨Tip Number 2
Familiarise yourself with the latest trends in data engineering and tools used in AWS environments. This knowledge will not only help you during interviews but also demonstrate your commitment to staying current in the field.
✨Tip Number 3
Prepare to discuss specific examples of how you've led data engineering initiatives in the past. Highlight your ability to manage competing priorities and deliver high-quality results, as this aligns closely with our expectations for the role.
✨Tip Number 4
Showcase your leadership style and how you foster a culture of innovation within your team. Be ready to share strategies you've implemented to motivate and develop your team members, as this is crucial for the Data Engineering Manager position at StudySmarter.
We think you need these skills to ace Data Engineering Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering and management. Focus on leadership roles, specific technologies you've worked with (like AWS, SQL, and Python), and any successful projects that demonstrate your ability to drive business value through data.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your background aligns with the responsibilities of the Data Engineering Manager role. Mention your experience in building high-performing teams and your approach to fostering innovation within a data-driven environment.
Showcase Technical Expertise: Be sure to include specific examples of your technical skills in your application. Discuss your experience with data pipelines, automation tools, and any familiarity with Data Ops or DevOps environments. This will demonstrate your capability to handle the technical challenges of the role.
Highlight Leadership Experience: Since the role requires strong leadership skills, emphasise your experience in managing teams and projects. Provide examples of how you've coached and motivated teams, managed competing priorities, and delivered results under pressure. This will show that you are well-equipped to lead the Data Engineering team.
How to prepare for a job interview at TalentHawk
✨Showcase Your Leadership Skills
As a Data Engineering Manager, you'll need to demonstrate your leadership experience. Be prepared to discuss specific examples of how you've successfully managed teams, handled resource allocation, and navigated competing priorities in previous roles.
✨Highlight Technical Expertise
Make sure to emphasise your technical skills, particularly in SQL, Python, and AWS. Be ready to discuss your hands-on experience with data engineering tools and any relevant projects you've worked on, especially those involving data science or machine learning.
✨Discuss Your Strategic Vision
The role requires developing a data engineering strategy. Prepare to articulate your vision for data management and how you would align data initiatives with business goals. Think about how you can drive long-term value through effective data practices.
✨Demonstrate Collaboration Skills
Collaboration is key in this role. Be ready to share examples of how you've worked with cross-functional teams to achieve common objectives. Highlight your communication skills and how you've engaged stakeholders to foster a culture of innovation.
