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- Tasks: Lead the design of scalable data pipelines and mentor junior engineers.
- Company: ESP Engineered, a dynamic tech company in Greater London.
- Benefits: Innovative work environment with opportunities for continuous learning.
- Other info: Collaborate with cross-functional teams in a fast-paced setting.
- Why this job: Join a team driving AI innovation and make a real impact.
- Qualifications: 7+ years in data engineering and proficiency in Apache Spark and Azure Data Factory.
The predicted salary is between 80000 - 120000 £ per year.
ESP Engineered is seeking a highly skilled Lead Data Engineer to join our team in Greater London. The role involves leading the design and development of scalable data pipelines, collaborating with cross-functional teams, and mentoring junior engineers.
Ideal candidates will have over 7 years of experience in data engineering, proficiency in tools like Apache Spark and Azure Data Factory, and familiarity with AI and machine learning concepts. This role offers a dynamic work environment, promoting innovation and continuous learning.
Senior Data Engineering Lead - AI-Driven Pipelines in London employer: ESP Engineered
Contact Detail:
ESP Engineered Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineering Lead - AI-Driven Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with AI-driven pipelines. 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 past projects, especially those involving scalable data pipelines and tools like Apache Spark. This will give potential employers a taste 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 mentoring junior engineers and collaborating with cross-functional teams, as these are key aspects of the role.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are passionate about joining our team. It shows initiative and gives us a chance to see your enthusiasm firsthand.
We think you need these skills to ace Senior Data Engineering Lead - AI-Driven Pipelines in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with tools like Apache Spark and Azure Data Factory. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a bit of personality!
Showcase Your Leadership Skills: Since this is a lead position, make sure to highlight any mentoring or leadership experiences you’ve had. We’re looking for someone who can guide junior engineers and foster a collaborative environment, so let us know how you’ve done that in the past.
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 role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at ESP Engineered
✨Know Your Tech Inside Out
Make sure you’re well-versed in the tools mentioned in the job description, like Apache Spark and Azure Data Factory. Brush up on your knowledge of AI and machine learning concepts too, as they’ll likely come up during the interview.
✨Showcase Your Leadership Skills
Since this role involves mentoring junior engineers, be prepared to discuss your leadership experiences. Think of specific examples where you’ve guided a team or contributed to a project’s success, and how you can bring that to the table at ESP Engineered.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Practice articulating how you would design scalable data pipelines or tackle challenges in cross-functional collaboration, as these are key aspects of the role.
✨Emphasise Continuous Learning
ESP Engineered values innovation and continuous learning, so share your passion for staying updated with industry trends. Mention any recent courses, certifications, or projects that demonstrate your commitment to professional growth in data engineering.