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- Tasks: Lead the development of data pipelines and shape data architecture in a greenfield project.
- Company: Prominent energy company with a focus on innovation and transformation.
- Benefits: Competitive salary, career advancement, and the chance to lead a talented team.
- Why this job: Make a significant impact on data solutions and drive change in the energy sector.
- Qualifications: Extensive experience in Python, Snowflake, and enterprise data solutions.
- Other info: Exciting opportunity to influence data strategy from the ground up.
The predicted salary is between 48000 - 72000 £ per year.
A leading recruitment agency is seeking a talented Lead Data Engineer for a prominent energy company in Edinburgh. This role focuses on spearheading data pipeline development within a greenfield data transformation project.
The ideal candidate will have extensive experience in Python and Snowflake, along with a strong background in building enterprise data solutions.
The opportunity offers the chance to influence the data architecture from the ground up while managing a small team of Data Engineers.
Head of Data Engineering - Greenfield Snowflake Leader employer: Net Talent
Contact Detail:
Net Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Engineering - Greenfield Snowflake Leader
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who have experience with Snowflake. 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 projects, especially those involving Python and data pipelines. This will give potential employers a taste of what you can bring to their greenfield project.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've built enterprise data solutions in the past and how you can lead a team effectively.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and aspirations. Plus, it shows you're serious about landing that Head of Data Engineering position.
We think you need these skills to ace Head of Data Engineering - Greenfield Snowflake Leader
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and Snowflake in your application. We want to see how you've used these tools in past projects, especially in building enterprise data solutions.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Head of Data Engineering role. We love seeing candidates who take the time to align their skills with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and experience without wading through unnecessary fluff.
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 don’t miss out on any important updates during the process!
How to prepare for a job interview at Net Talent
✨Know Your Tech Inside Out
Make sure you brush up on your Python and Snowflake skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
Since this role involves managing a small team, be prepared to talk about your leadership style. Share examples of how you've successfully led teams in the past, especially in data engineering contexts, and how you foster collaboration and innovation.
✨Understand the Business Context
Research the energy company and its data transformation goals. Being able to articulate how your experience aligns with their objectives will show that you're not just technically proficient but also understand the bigger picture.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview. Inquire about the company's vision for the data architecture and how they see the role of the Lead Data Engineer evolving. This shows your genuine interest and strategic thinking.
