At a Glance
- Tasks: Lead and optimise a live data platform, ensuring smooth data workflows.
- Company: Dynamic tech company in London with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a collaborative team with exciting challenges and career advancement.
- Why this job: Take ownership of impactful data projects and drive real change.
- Qualifications: Strong experience in data pipelines, Python, and cloud environments.
The predicted salary is between 80000 - 100000 € per year.
We are looking for a Lead Data Engineer to take ownership of a live data platform, ensuring pipelines and data products are stable, scalable and fit for purpose. This is a hands-on role with real ownership. You will keep critical data workflows running smoothly, resolve issues when they arise, and continuously improve how the platform operates.
What you will be doing:
- Own the performance and reliability of production data pipelines
- Investigate and resolve issues across ingestion, transformation and orchestration
- Implement monitoring and improve visibility across data workflows
- Work closely with engineering, data and business teams to support delivery
- Drive improvements to data quality and overall platform robustness
- Support releases and changes into live environments
What we are looking for:
- Strong experience building and supporting data pipelines in production
- Experience working with Palantir Foundry
- Proficiency in Python and large scale data processing (e.g. PySpark)
- Experience working within cloud environments such as AWS or GCP, Azure also considered
- Good understanding of end to end data workflows
- Strong problem solving skills and ability to resolve complex issues
- Clear and confident communicator, comfortable working with both technical teams and business stakeholders
Experience:
- Background in data engineering within live, production environments
- Experience operating at a senior or lead level with ownership of systems
Apply now or get in touch for a confidential conversation.
Lead Data Engineer - London employer: Datatech Analytics
As a Lead Data Engineer in London, you will join a dynamic and innovative team that values collaboration and continuous improvement. Our company offers a supportive work culture with ample opportunities for professional growth, ensuring you can advance your skills while making a meaningful impact on our data platform. Enjoy the unique advantage of working in a vibrant city known for its tech scene, where your contributions will be recognised and rewarded.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer - London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with platforms like Palantir Foundry. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your experience with data pipelines and cloud environments. This could be a GitHub repo or a personal website where you demonstrate your projects and problem-solving abilities.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Python, PySpark, and how you've tackled issues in live production environments. Practice common interview questions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Lead Data Engineer - London
Some tips for your application 🫡
Show Your Ownership Spirit:When writing your application, make sure to highlight your experience in taking ownership of data platforms. We love candidates who can demonstrate their ability to manage and improve data workflows, just like you would in the role!
Be Specific About Your Skills:Don’t just list your skills; show us how you've used them in real-world scenarios. If you've worked with Palantir Foundry or have experience in Python and large-scale data processing, give us examples that showcase your expertise.
Communicate Clearly:Since this role involves working with both technical teams and business stakeholders, it’s crucial to convey your communication skills. Use clear and confident language in your application to reflect how you’d interact in the workplace.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the Lead Data Engineer position. Don’t miss out on this opportunity!
How to prepare for a job interview at Datatech Analytics
✨Know Your Data Pipelines
Make sure you can talk confidently about your experience with data pipelines. Be ready to discuss specific projects where you've built or supported production data pipelines, especially using tools like Palantir Foundry and Python.
✨Showcase Problem-Solving Skills
Prepare examples of complex issues you've resolved in data workflows. Think about times when you had to troubleshoot ingestion or transformation problems and how you approached those challenges.
✨Understand the Cloud Environment
Brush up on your knowledge of cloud platforms like AWS or GCP. Be prepared to explain how you've leveraged these environments to enhance data processing and pipeline performance.
✨Communicate Clearly
Practice explaining technical concepts in a way that non-technical stakeholders can understand. This will show that you can bridge the gap between engineering and business teams, which is crucial for this role.
