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For Companies At a Glance
- Tasks: Design and build modern data solutions using Databricks on the cloud.
- Company: Join a next-gen data & AI consultancy making real-world impact.
- Benefits: Enjoy a hybrid working model and strong focus on personal development.
- Why this job: Work on high-impact projects and lead a tight-knit team of specialists.
- Qualifications: 6+ years in data engineering with expertise in Databricks, Python, and SQL.
- Other info: Opportunity to mentor engineers and contribute to pre-sales activities.
The predicted salary is between 60000 - 85000 £ per year.
Job Description
🚀 Data Engineering Consultant | London (Hybrid) | Permanent
£70,000 – £85,000 + Bonus
Are you a Databricks expert ready to design the future of data platforms? Join a next-gen data & AI consultancy delivering real-world impact through smart, scalable solutions for some of the UK’s top organisations.
🔍 The Role
We’re looking for a Data Engineering Consultant who can blend deep technical expertise with strong client-facing skills. You’ll lead the design and delivery of modern data architectures using Databricks on AWS or Azure, developing high-performance pipelines and helping businesses unlock the power of their data.
What You’ll Do
- Design and build modern data solutions using Databricks on the cloud ☁️
- Create scalable pipelines in Python and SQL to drive insight and innovation 🐍
- Work closely with clients to turn real business challenges into effective data strategies 💡
- Lead and mentor technical teams as a subject matter expert 🧠
- Support pre-sales with scoping and solution design
- Stay at the forefront of data engineering and AI trends
What We’re Looking For
- 6+ years of hands-on experience in data engineering
- Proven expertise in Databricks (deployment, pipeline development, performance optimisation)
- Strong coding skills in Python and SQL
- Solid experience with AWS or Azure
- Familiarity with DevOps practices (CI/CD, Infrastructure as Code)
- Confident in technical solution design and stakeholder communication
- Comfortable mentoring engineers and contributing to pre-sales activity
Why Join?
- High-impact projects across multiple industries
- Tight-knit team of data & AI specialists
- Strong focus on personal development and career growth
- Hybrid working model (2–3 days in-office/client site, rest remote)
Senior Data Engineer employer: Omnis Partners
Contact Detail:
Omnis Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with Databricks and its features. Since this role requires expertise in Databricks, consider engaging in online courses or tutorials that focus on building data pipelines and optimising performance within the platform.
✨Tip Number 2
Brush up on your Python and SQL skills. As you'll be creating scalable pipelines, practice coding challenges or projects that involve data manipulation and analysis to demonstrate your proficiency during interviews.
✨Tip Number 3
Network with professionals in the data engineering field. Attend meetups or webinars related to data engineering and AI, as these connections can provide insights into the industry and potentially lead to referrals for the position.
✨Tip Number 4
Prepare to discuss your experience with cloud platforms like AWS or Azure. Be ready to share specific examples of how you've implemented data solutions in the cloud, as this will showcase your hands-on experience and technical knowledge.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 6+ years of experience in data engineering, specifically focusing on your expertise with Databricks, Python, and SQL. Use keywords from the job description to ensure it aligns with what the company is looking for.
Craft a Compelling Cover Letter: In your cover letter, emphasise your client-facing skills and your ability to turn business challenges into effective data strategies. Mention specific projects where you've led teams or mentored engineers to showcase your leadership capabilities.
Showcase Relevant Projects: Include examples of modern data solutions you have designed and built using Databricks on AWS or Azure. Highlight any high-performance pipelines you developed and the impact they had on previous businesses.
Prepare for Technical Questions: Anticipate technical questions related to data engineering, Databricks, and cloud platforms during the interview process. Be ready to discuss your coding skills in Python and SQL, as well as your familiarity with DevOps practices.
How to prepare for a job interview at Omnis Partners
✨Showcase Your Databricks Expertise
Make sure to highlight your experience with Databricks during the interview. Be prepared to discuss specific projects where you've deployed Databricks, developed pipelines, and optimised performance. This will demonstrate your technical proficiency and relevance to the role.
✨Demonstrate Client-Facing Skills
Since the role requires strong client interaction, be ready to share examples of how you've successfully communicated complex data strategies to non-technical stakeholders. This will show that you can bridge the gap between technical solutions and business needs.
✨Prepare for Technical Questions
Expect in-depth technical questions related to Python, SQL, and cloud platforms like AWS or Azure. Brush up on your coding skills and be ready to solve problems on the spot. This will help you showcase your hands-on experience and problem-solving abilities.
✨Discuss Mentorship and Leadership Experience
As a senior position, you'll likely be expected to lead and mentor others. Prepare to talk about your previous experiences in mentoring engineers or leading teams. Highlight any successful outcomes from your leadership to illustrate your capability in this area.
