At a Glance
- Tasks: Lead data engineering projects, ensuring high-quality solutions and mentoring developers.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to work on cutting-edge technologies.
- Why this job: Make a real impact by shaping data solutions and leading talented teams.
- Qualifications: Strong background in ETL/ELT, data warehousing, and leadership experience.
The predicted salary is between 70000 - 90000 € per year.
We are looking for a highly skilled Lead Data Engineer to provide technical leadership across data engineering, delivery execution and project governance. This role ensures development standards are upheld while delivering high-quality, reliable solutions on time and within budget. It is suited to someone highly organised, confident and an excellent communicator, with the ability to engage stakeholders at all levels across Development and IT Change.
As Lead Data Engineer, you will interpret detailed technical requirements and deliverables across multiple projects, acting as a subject-matter expert in data-engineering technologies and contributing to effective solution design. You will mentor, support and guide developers to help them grow and deliver successfully, while balancing your involvement across various initiatives to provide direction, technical leadership and oversight wherever it is needed.
Skills & Experience
- Strong consultancy background across ETL/ELT, data warehousing and big-data solutions, with hands-on delivery experience and proven leadership/mentoring in an onshore–offshore model.
- Proficiency with ETL tools and cloud data services (AWS preferred — e.g., Glue; with exposure to Azure Data Factory), plus experience implementing CI/CD for data; knowledge of Informatica tools is beneficial.
- Experience working with major databases such as Postgres, Redshift, Oracle, SQL Server or Snowflake, along with strong SQL capability and working knowledge of Python/PySpark.
- Ability to synthesise complex business and technical inputs into practical, scalable data-engineering patterns including ETL/ELT pipelines, event-driven ingestion and data-quality frameworks.
- Confidence in constructively challenging solution approaches to improve performance, security and reliability.
Lead Data Engineer in London employer: Zebra People | B CorpTM
As a Lead Data Engineer with us, you'll thrive in a dynamic and collaborative work environment that prioritises innovation and professional growth. We offer competitive benefits, a strong focus on employee development, and the opportunity to work with cutting-edge technologies in a supportive culture that values your contributions. Join us in a location that fosters creativity and teamwork, ensuring you have the resources and mentorship needed to excel in your career.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a Lead Data Engineer role. You never know who might have the inside scoop on an opportunity that’s not even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving ETL/ELT processes and cloud data services. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with databases like Postgres and Redshift, and how you've mentored others in previous roles. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you a leg up in the process. Let’s get you that Lead Data Engineer position!
We think you need these skills to ace Lead Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Data Engineer role. Highlight your experience with ETL/ELT, data warehousing, and any leadership roles you've had. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific examples of projects where you've implemented data solutions or led teams. This helps us understand your hands-on experience and how you’ve tackled challenges in the past.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language to describe your skills and experiences. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website:Don’t forget to apply through 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 the process!
How to prepare for a job interview at Zebra People | B CorpTM
✨Know Your Tech Inside Out
As a Lead Data Engineer, you’ll need to showcase your expertise in ETL/ELT processes and cloud data services. Brush up on the specific tools mentioned in the job description, like AWS Glue and Azure Data Factory, and be ready to discuss your hands-on experience with them.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to lead projects. Think of examples where you've successfully delivered data solutions on time and within budget, and be prepared to explain your thought process and decision-making.
✨Showcase Your Mentoring Skills
Since mentoring is a key part of this role, come prepared with examples of how you've guided developers in the past. Highlight your approach to fostering growth and collaboration within teams, especially in an onshore-offshore model.
✨Engage Stakeholders Effectively
Communication is crucial for this position. Be ready to demonstrate how you've engaged with stakeholders at various levels. Prepare to discuss how you’ve interpreted technical requirements and translated them into actionable plans that align with business goals.
