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For Companies At a Glance
- Tasks: Lead a team to develop high-quality data engineering and AI solutions.
- Company: Join a forward-thinking company focused on innovative data solutions.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Be at the forefront of data engineering, mentoring others and driving impactful projects.
- Qualifications: Experience in data engineering and leadership is essential.
- Other info: Collaborate with diverse teams and contribute to exciting product developments.
The predicted salary is between 43200 - 72000 £ per year.
We are searching for a Lead Data Engineer who will be crucial in driving the development of high-quality data engineering and AI operations solutions. This role involves implementing our Data Engineering strategy, enhancing our data ingestion processes, and leading a team of engineers to deliver robust, scalable systems.
Working closely with both the Head of Data Engineering and the Project team, you will ensure technical specifications are clear, development best practices are upheld, and architectural standards are met across the board.
Responsibilities- Provide technical leadership across data engineering and AI operations projects, setting the standard for engineering quality and delivery.
- Mentor and guide junior and mid-level engineers, fostering an environment of learning and continuous improvement.
- Work closely with the Head of Data Engineering to implement and uphold the strategic direction of the engineering function.
- Design and maintain clear architectural documentation for technical and non-technical stakeholders.
- Define and implement testing frameworks for data validation and transformation processes.
- Translate complex solution designs and project objectives for non-technical stakeholders with clarity.
- Collaborate with cross-functional teams, particularly research, to support product ideation and experimentation.
- Maintain comprehensive documentation around development standards, testing protocols, and code review processes.
- Support the Project and Scrum Master teams in developing technical specifications and establishing clear definitions of done for user stories and epics.
- Drive adoption of engineering best practices across the software development life-cycle.
Data Team Lead employer: Vector Resourcing
Contact Detail:
Vector Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Team Lead
✨Tip Number 1
Familiarise yourself with the latest trends in data engineering and AI operations. Being well-versed in current technologies and methodologies will not only boost your confidence but also demonstrate your commitment to the field during discussions.
✨Tip Number 2
Network with professionals in the data engineering space. Attend industry meetups, webinars, or online forums where you can connect with others in the field. This can lead to valuable insights and potentially even referrals for the position.
✨Tip Number 3
Prepare to discuss your leadership style and experiences in mentoring others. Since this role involves guiding junior engineers, having specific examples ready will help you stand out as a candidate who can foster a positive learning environment.
✨Tip Number 4
Showcase your ability to communicate complex technical concepts clearly. Practice explaining your past projects or solutions to non-technical audiences, as this skill is crucial for the role and will highlight your versatility as a leader.
We think you need these skills to ace Data Team Lead
Some tips for your application 🫡
Understand the Role: Thoroughly read the job description for the Data Team Lead position. Make sure you understand the responsibilities and requirements, as this will help you tailor your application to highlight relevant experiences.
Highlight Relevant Experience: In your CV and cover letter, focus on your experience in data engineering and AI operations. Provide specific examples of projects where you demonstrated technical leadership, mentoring, and collaboration with cross-functional teams.
Showcase Your Skills: Clearly outline your technical skills related to data ingestion processes, architectural documentation, and testing frameworks. Use bullet points to make these stand out and ensure they align with the job requirements.
Craft a Compelling Cover Letter: Write a cover letter that not only expresses your enthusiasm for the role but also explains how your background aligns with the company's goals. Mention your ability to translate complex concepts for non-technical stakeholders, as this is crucial for the position.
How to prepare for a job interview at Vector Resourcing
✨Showcase Your Technical Leadership
Be prepared to discuss your experience in leading data engineering projects. Highlight specific examples where you set standards for engineering quality and delivery, as this role requires strong technical leadership.
✨Emphasise Mentorship Experience
Since mentoring junior engineers is a key responsibility, share instances where you've guided team members. Discuss how you fostered an environment of learning and continuous improvement within your previous teams.
✨Communicate Clearly with Non-Technical Stakeholders
Practice translating complex technical concepts into simple terms. This will be crucial during the interview, as you'll need to demonstrate your ability to communicate effectively with both technical and non-technical stakeholders.
✨Prepare for Collaboration Scenarios
Expect questions about your experience working with cross-functional teams. Be ready to provide examples of how you've collaborated with other departments, particularly in supporting product ideation and experimentation.
