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- Tasks: Lead and manage data engineering initiatives to drive business value.
- Company: Join a forward-thinking company focused on innovation in data management.
- Benefits: Enjoy flexible working options, competitive salary, and professional development opportunities.
- Why this job: Be part of a dynamic team that champions data excellence and fosters a culture of innovation.
- Qualifications: Degree in a data-related field or equivalent experience in data engineering.
- Other info: Opportunity to work with cutting-edge technologies and mentor a high-performing team.
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 (Portsmouth) employer: TalentHawk
Contact Detail:
TalentHawk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager (Portsmouth)
✨Tip Number 1
Network with professionals in the data engineering field, especially those who have experience in AWS and Data Ops. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends and technologies.
✨Tip Number 2
Showcase your leadership skills by participating in community projects or open-source initiatives related to data engineering. This not only enhances your experience but also demonstrates your ability to manage teams and drive projects to completion.
✨Tip Number 3
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as SQL, Python, and data engineering tools. Consider taking online courses or certifications to bolster your knowledge and make you a more attractive candidate.
✨Tip Number 4
Prepare to discuss your experience with budget management and vendor negotiations. Think of examples where you've successfully managed resources and aligned data initiatives with business goals, as this will be crucial in demonstrating your fit for the role.
We think you need these skills to ace Data Engineering Manager (Portsmouth)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering and management. Focus on your leadership roles, technical skills in SQL and Python, and any experience with AWS or automation tools.
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 specific projects where you've successfully led teams or implemented data strategies.
Showcase Your Technical Expertise: Include examples of your hands-on experience with data engineering tools and technologies. Highlight any projects involving data science or machine learning to demonstrate your comprehensive understanding of the field.
Highlight Leadership and Collaboration Skills: Emphasise your ability to lead high-performing teams and collaborate with stakeholders. Provide examples of how you've motivated teams under pressure and managed competing priorities effectively.
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 challenges in previous roles.
✨Highlight Technical Expertise
Make sure to emphasise your technical skills, particularly in SQL, Python, and AWS. Prepare to discuss your hands-on experience with data engineering tools and any relevant projects, especially those involving automation or machine learning.
✨Discuss Strategic Vision
The role requires developing a data engineering strategy. Be ready 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.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and decision-making skills. Prepare to discuss how you would handle competing priorities, manage budgets, and ensure timely delivery of data engineering initiatives while maintaining quality.
