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- Tasks: Lead data engineering projects, build pipelines, and design architectures using Snowflake, DBT, and Airflow.
- Company: Join a globally renowned brand known for its tech-driven decision-making and people-first culture.
- Benefits: Enjoy a salary up to £100k, bonuses, a 14% pension scheme, and flexible working options.
- Why this job: Be part of a top-rated company with excellent career development and access to industry-leading training.
- Qualifications: Expertise in Snowflake, DBT, Airflow, Data Warehousing, and AWS is required.
- Other info: Interviews are happening now, so apply ASAP to secure your spot!
The predicted salary is between 43200 - 72000 £ per year.
I'm working with a key client of ours here at TRG who are looking to grow out their Data & Analytics function. My client is globally renowned for being a leader within their relative field. They are known within the tech community for embracing technology and using it to drive forward strategic decision making. As a company, they are listed in the top 10 for top 100 companies to work for and are extremely proud of their people first culture. They invest heavily into each employee across the business through development plans and unparalleled progression opportunities, enabling tech enthusiasts to bring out the best in technology by utilising the latest technologies available on the market.
This role is sat within the Data engineering team. Whilst this is a lead role, the expectation is that this is very much about leading from the front and being in the trenches of engineering & Development. This is a hands-on role where the successful applicant will be building pipelines and being heavily involved in designing architectures for an array of projects where greenfield Snowflake implementations will be taking place.
This is a salaried position and depending on experience, it can pay up to £100k with some comprehensive benefits, including a bonus and a pension scheme that pays up to 14%! They have great career development plans as well as access to industry-leading training. They recognise that work-life balance is extremely important and that a happy employee means higher productivity, so they offer very flexible working arrangements through both WFH options and flexi working hours.
Experience required:
- Expert in Snowflake
- Strong DBT experience
- Strong Airflow experience
- Expert knowledge and understanding of Data Warehousing
- Strong AWS experience
This is a great opportunity to join an outstanding organisation that prides itself on being one of the best companies to work for. Interviews are already taking place, so don't miss out and apply now!
If this is of interest, then get in touch ASAP. Send across your CV to t.shahid@nigelfrank.com or alternatively, give me a call on 0191 3387551.
Lead Data Engineer - Snowflake, DBT, Airflow - London - £100k employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
t.shahid@nigelfrank.com
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer - Snowflake, DBT, Airflow - London - £100k
✨Tip Number 1
Familiarise yourself with the latest trends and best practices in Snowflake, DBT, and Airflow. Being able to discuss recent developments or case studies during your interview can demonstrate your passion and expertise in these technologies.
✨Tip Number 2
Network with current employees or industry professionals who have experience in data engineering roles. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals within the company.
✨Tip Number 3
Prepare to showcase your hands-on experience by discussing specific projects where you've implemented Snowflake or designed data architectures. Be ready to explain your thought process and the impact of your work on previous teams or organisations.
✨Tip Number 4
Highlight your leadership skills by sharing examples of how you've led teams or projects in the past. Emphasising your ability to lead from the front while being involved in technical tasks will align well with the expectations of this role.
We think you need these skills to ace Lead Data Engineer - Snowflake, DBT, Airflow - London - £100k
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your expertise in Snowflake, DBT, and Airflow. Use specific examples from your previous roles that demonstrate your hands-on experience with data engineering and architecture design.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also reflects your understanding of the company's culture and values. Mention how your experience aligns with their people-first approach and commitment to technology.
Highlight Relevant Projects: In your application, include details about any relevant projects you've worked on, especially those involving greenfield implementations or data warehousing. This will show your practical experience and ability to lead from the front.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail, which is crucial in a data engineering role.
How to prepare for a job interview at Jefferson Frank
✨Showcase Your Technical Expertise
Make sure to highlight your experience with Snowflake, DBT, and Airflow during the interview. Be prepared to discuss specific projects where you've successfully implemented these technologies, as this will demonstrate your hands-on capabilities.
✨Emphasise Leadership Skills
Since this is a lead role, it's crucial to convey your leadership style. Share examples of how you've led teams in the past, particularly in data engineering projects, and how you foster collaboration and innovation within your team.
✨Discuss Architectural Design Experience
Be ready to talk about your experience in designing data architectures. Discuss any greenfield implementations you've worked on, especially with Snowflake, and how you approached the challenges involved in those projects.
✨Align with Company Culture
Research the company's people-first culture and be prepared to discuss how you value work-life balance and employee development. Share your thoughts on how a positive work environment contributes to productivity and innovation.
