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For Companies At a Glance
- Tasks: Lead a team of data engineers and shape the organisation's data strategy.
- Company: Join an innovative client in West Yorkshire focused on data engineering excellence.
- Benefits: Competitive salary, career growth, and the chance to influence strategic decisions.
- Why this job: Step into a leadership role and make a real impact on data solutions.
- Qualifications: 5+ years in data management and experience with cloud technologies.
- Other info: Dynamic environment with opportunities for mentorship and professional development.
The predicted salary is between 36000 - 60000 £ per year.
About the Client
A new Impactive client in West Yorkshire is looking to hire a Lead Data Engineer to strengthen their data engineering capabilities. This is a great opportunity for someone operating at a senior or lead level, especially if you’ve mentored or coached other data engineers and are ready to step into a role with more ownership, influence, and strategic impact.
The Person
We’re looking for someone who brings a blend of technical depth and leadership capability, ideally with:
- 5+ years’ experience in data management, data engineering, or data governance.
- Solid experience working with modern data platforms, databases, and any major cloud technology (AWS, Azure, GCP).
- A strong grasp of data privacy, compliance, and best practices.
- Experience in data modelling, ETL/ELT processes, and contemporary data architecture.
- Exceptional attention to detail and a proactive approach to quality control, data accuracy, and security.
- Ability to translate business requirements into robust, scalable data solutions.
- A history of delivering or leading data engineering projects, with a desire to take on more responsibility.
This role would suit someone who has supported, coached, or overseen a small team and wants to take that next step toward formal leadership.
The Role
As a Lead Data Engineer, you’ll play a pivotal part in shaping the organisation’s data landscape. Responsibilities include:
- Leading, coaching, and developing a small team of data engineers to drive high standards and continuous improvement.
- Defining and executing the data engineering strategy, ensuring it aligns with broader business goals.
- Championing best practices across data engineering, governance, security, and compliance (including GDPR).
- Designing, building, and maintaining scalable, high-quality data pipelines.
- Owning data observability and ensuring data quality, consistency, and availability across all systems.
- Maintaining strong quality control and attention to detail throughout all data processes, ensuring accuracy and reliability.
- Optimising ETL/ELT workflows to improve performance and efficiency.
- Working closely with cross-functional teams to improve data collection, storage, and access.
- Communicating complex technical concepts in a clear and accessible way.
- Evaluating emerging technologies and identifying opportunities to evolve the data stack.
- Conducting regular audits to identify issues early and maintain a high level of data integrity.
If interested, please apply via the job advert and Jag will be in touch to discuss the role and next steps in more detail.
PLEASE NOTE SPONSORSHIP IS NOT AVAILABLE FOR THIS OPPORTUNITY
Lead Data Engineer in Leeds employer: Impactive IT
Contact Detail:
Impactive IT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer in Leeds
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who might know about opportunities at companies you're interested in. A personal recommendation can really give you an edge.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies of your past projects that highlight your experience with data platforms and cloud technologies. This will help you stand out during interviews and showcase your technical depth.
✨Tip Number 3
Practice makes perfect! Get ready for those tricky interview questions by doing mock interviews with friends or using online resources. Focus on articulating your leadership experiences and how you've driven high standards in previous roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining the team and ready to take on that lead role.
We think you need these skills to ace Lead Data Engineer in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your 5+ years in data management and any leadership roles you've had. We want to see how you fit into our vision!
Showcase Your Projects: Include specific examples of data engineering projects you've led or contributed to. Talk about the technologies you used, especially if they align with AWS, Azure, or GCP. This helps us understand your hands-on experience.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your technical skills and how they relate to the role. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website: Don’t forget to apply via our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we love seeing candidates who follow instructions!
How to prepare for a job interview at Impactive IT
✨Know Your Data Inside Out
Make sure you brush up on your technical knowledge, especially around data management, ETL/ELT processes, and cloud technologies like AWS or Azure. Be ready to discuss specific projects you've worked on and how you tackled challenges in data engineering.
✨Showcase Your Leadership Skills
Since this role involves mentoring a team, prepare examples of how you've coached or led others in the past. Think about situations where you improved team performance or implemented best practices in data governance and compliance.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. You might be asked to describe your approach to data architecture or how you ensure data quality, so being able to communicate these ideas clearly will set you apart.
✨Align with Business Goals
Understand the company's broader business objectives and think about how your data engineering strategy can support them. Be prepared to discuss how you've previously aligned technical projects with business needs and the impact it had.