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- Tasks: Lead and innovate in data engineering, managing teams and projects to drive business value.
- Company: Join a forward-thinking company focused on leveraging data for impactful decisions.
- Benefits: Enjoy flexible work options, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a dynamic team that champions innovation and excellence in data analytics.
- Qualifications: Degree in a data-related field or equivalent experience; leadership in data engineering required.
- Other info: Stay ahead of industry trends while managing exciting data initiatives.
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 managing teams. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences at companies like ours.
✨Tip Number 2
Showcase your leadership skills by discussing any previous experience where you successfully managed a team or project. Be prepared to share specific examples of how you motivated your team and handled challenges.
✨Tip Number 3
Stay updated on the latest trends in data engineering, particularly in AWS and automation tools. Being knowledgeable about emerging technologies will demonstrate your commitment to continuous learning and innovation.
✨Tip Number 4
Prepare to discuss how you align data engineering initiatives with business goals. Think of examples where you've collaborated with stakeholders to drive value through data, as this is crucial 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 Skills: Include specific examples of your technical expertise in data engineering tools and technologies. Highlight any experience with data science or machine learning projects, as well as your familiarity with Data Ops or DevOps environments.
Demonstrate Leadership Experience: Provide examples of how you've built and led high-performing teams. Discuss your approach to mentoring and coaching team members, as well as how you've managed competing priorities and resource constraints in previous roles.
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. Prepare to discuss your hands-on experience with data engineering tools and any relevant projects, especially those involving data science or machine learning.
✨Discuss Your 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 specific challenges related to data engineering, such as managing technology upgrades or optimising data platforms under tight deadlines.
