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- Tasks: Lead the Snowflake and Modern Stack offering, overseeing technical delivery and deployment.
- Company: Join a next-gen data consultancy focused on AI and Data Integrity.
- Benefits: Enjoy a collaborative environment with opportunities for growth and impact.
- Why this job: Make a real business impact while working with high-profile and start-up clients.
- Qualifications: Experience in Snowflake, dbt, SQL, Python, and strong communication skills required.
- Other info: Ideal for Senior Analytics Engineers seeking variety and market-leading specialism.
The predicted salary is between 48000 - 84000 £ per year.
This range is provided by Omnis Partners. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Direct message the job poster from Omnis Partners Principal Consultant – Data, Platform and AI Engineering Location: London I am working with a next-generation data consultancy with a focus on Modern Engineering, AI, and Data Integrity. Working with clients across multiple sectors, they are looking for an Analytics Engineer to lead the Snowflake and Modern Stack offering of the consultancy. You will play a major role in supporting technology partner relationships, lead on technical pre-sales, oversee technical delivery and deployment of Snowflake and Modern Stack, and shape the growth of the Modern Stack offering going forward. Requirements To qualify for this role, you will require: Experience working with both technical and non-technical teams to implement data platform changes and optimisations. Excellent experience in Snowflake, dbt, Data Transformation, and other Modern Stack tools. Strong SQL, Python, Spark, and other coding skillsets. Strong communicator with an impact approach to implementing data solutions. Any pre-sales and client-facing work is an advantage. The Opportunity This role is an ideal fit if you are: A Senior Analytics Engineer looking for more variety in the challenges of your work. Wanting to have a real business impact from your data work that can be seen at all levels. Wanting to develop a market-leading specialism with Databricks. Interested in working with a mixture of high-profile and start-up clients. Like working in a collaborative data-led environment. Seniority level Not Applicable Employment type Full-time Job function Engineering, Business Development, and Consulting Industries Business Consulting and Services, Data Infrastructure, and Analytics #J-18808-Ljbffr
Contact Detail:
Omnis Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Analytics Engineer
✨Tip Number 1
Network with professionals in the data consultancy field, especially those who have experience with Snowflake and Modern Stack tools. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences.
✨Tip Number 2
Familiarise yourself with the latest trends and advancements in data engineering, particularly around Snowflake and dbt. This knowledge will not only help you in interviews but also demonstrate your commitment to staying current in the field.
✨Tip Number 3
Prepare to discuss specific examples of how you've successfully collaborated with both technical and non-technical teams. Highlight your communication skills and how they contributed to successful project outcomes.
✨Tip Number 4
If you have any experience in pre-sales or client-facing roles, be ready to share those stories. Emphasising your ability to engage with clients and understand their needs can set you apart from other candidates.
We think you need these skills to ace Lead Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake, dbt, and other Modern Stack tools. Emphasise your technical skills in SQL, Python, and Spark, as well as any relevant pre-sales or client-facing experience.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data engineering and how your background aligns with the consultancy's focus on Modern Engineering and AI. Mention specific projects where you've made a significant impact.
Showcase Communication Skills: Since strong communication is key for this role, consider including examples in your application that demonstrate your ability to work with both technical and non-technical teams effectively.
Highlight Leadership Experience: If you have experience leading projects or teams, make sure to include this in your application. Discuss how you've overseen technical delivery and shaped offerings in previous roles.
How to prepare for a job interview at Omnis Partners
✨Showcase Your Technical Skills
Make sure to highlight your experience with Snowflake, dbt, and other Modern Stack tools during the interview. Be prepared to discuss specific projects where you implemented data platform changes and optimisations, as this will demonstrate your hands-on expertise.
✨Communicate Effectively
As a Lead Analytics Engineer, you'll need to work with both technical and non-technical teams. Practice explaining complex concepts in simple terms, and be ready to share examples of how you've successfully communicated with diverse stakeholders in the past.
✨Prepare for Pre-Sales Scenarios
Since pre-sales experience is an advantage, think about how you would approach a potential client. Prepare to discuss how you would lead technical pre-sales efforts and what strategies you would use to build strong technology partner relationships.
✨Demonstrate Your Impact
Be ready to talk about how your work has made a tangible impact on previous projects. Use metrics or specific outcomes to illustrate your contributions, as this will help the interviewers see the value you can bring to their consultancy.
