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- Tasks: Lead the design and optimisation of data pipelines in cloud environments.
- Company: Join a forward-thinking organisation that prioritises continuous learning and employee wellbeing.
- Benefits: Enjoy hybrid working, paid overtime, and a dedicated learning allowance for personal growth.
- Why this job: This role offers technical leadership without management pressure, fostering a positive and inclusive culture.
- Qualifications: Extensive experience with Python, Scala, and cloud platforms like AWS or Azure is essential.
- Other info: Mentorship opportunities available to help you grow within a collaborative team.
The predicted salary is between 48000 - 64000 £ per year.
Are you passionate about data at scale and solving complex technical challenges? A forward-thinking technology consultancy is looking for a Lead Data Engineer to join their team and help deliver cutting-edge data solutions for enterprise clients.
You’ll play a key role in designing, building, and leading development of data processing and persistence components, working in agile teams, and mentoring engineers while ensuring high-quality, maintainable code. This is a hands-on role with responsibility for the technical direction, operational readiness, and performance of data-intensive systems.
What you’ll do:
- Lead development of components or subsystems, taking ownership from design through testing and delivery
- Coach and mentor team members, enforcing best practices and consistency across the codebase
- Design and implement ETL/ELT pipelines and analytical/operational data models
- Ensure robustness, performance, and operational readiness of data solutions
- Collaborate with architects, operations, and security teams to meet functional and compliance requirements
- Contribute to technical proposals and advise clients on design, implementation, and effort estimation
Essential skills & experience:
- Proven experience leading engineers on data-intensive systems
- Background in consulting environments and/or public sector delivery
- Hands-on software development in Java, Scala, or Python
- Experience with data-processing platforms (Informatica, Azure Databricks, or equivalent ETL tools)
- Expert in SQL and distributed data stores/data processing frameworks
- Strong understanding of design patterns, development standards, and operational best practices
- Excellent communication skills to explain technical concepts clearly
- Analytical mindset with a keen interest in AI technologies
- Experience with data warehouse techniques and analytical best practices
- Cloud certifications (AWS/Azure/GCP) in data services
- Active involvement in tech communities and continuous improvement initiatives
- Hands-on experience with AI tools, processes, or delivery
This is your chance to join a mission-driven, collaborative team, shaping enterprise-grade data solutions while growing your own technical leadership.
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Lead Data Engineer employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Familiarise yourself with the specific cloud platforms mentioned in the job description, such as AWS, Azure, or GCP. Having hands-on experience with these services will not only boost your confidence but also demonstrate your technical expertise during interviews.
✨Tip Number 2
Engage with online communities and forums related to data engineering. This can help you stay updated on industry trends and best practices, and you might even find networking opportunities that could lead to referrals for the position.
✨Tip Number 3
Prepare to discuss your experience with agile methodologies, particularly Scrum and pair programming. Being able to articulate how you've applied these practices in past projects will show your alignment with the company's values and working style.
✨Tip Number 4
Highlight your mentoring experience when speaking with us. As a Lead Data Engineer, you'll be expected to guide others, so sharing examples of how you've supported colleagues in their development can set you apart from other candidates.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive hands-on experience with programming languages like Python, Scala, and SQL. Emphasise your background in building and maintaining data pipelines, as well as your knowledge of cloud platforms.
Craft a Compelling Cover Letter: In your cover letter, express your passion for modern data engineering and how you can influence best practices within the organisation. Mention your strong communication skills and ability to engage with clients, especially C-level stakeholders.
Showcase Relevant Projects: Include specific examples of projects where you've led the design and development of data solutions. Highlight your experience with agile methodologies and any mentoring roles you've taken on to demonstrate your leadership capabilities.
Research the Company Culture: Familiarise yourself with the company's commitment to employee wellbeing and continuous learning. Reflect this understanding in your application by mentioning how you value personal growth and work-life balance.
How to prepare for a job interview at Anson McCade
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with programming languages like Python, Scala, and SQL. Highlight specific projects where you've built and maintained data pipelines, as this will demonstrate your technical capabilities and understanding of cloud environments.
✨Communicate Clearly with Non-Technical Stakeholders
Since the role involves translating technical concepts for non-technical audiences, practice explaining complex ideas in simple terms. Use examples from your past experiences to illustrate how you've successfully communicated with clients or senior stakeholders.
✨Emphasise Your Leadership Skills
Even though this position doesn't require a move into management, showcasing your ability to mentor and guide other engineers is crucial. Prepare examples of how you've supported team members' growth and contributed to a positive team culture.
✨Demonstrate Your Agile Methodology Knowledge
Familiarise yourself with agile practices such as Scrum and pair programming. Be ready to discuss how you've applied these methodologies in previous roles to deliver value iteratively, as this aligns with the company's focus on agile delivery.
