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- Tasks: Lead the design and implementation of enterprise-scale data pipelines and lakehouse architectures.
- Company: Join ISx4, a company passionate about AI & Analytics for transformative customer solutions.
- Benefits: Competitive salary, professional development, and a collaborative work environment.
- Other info: Opportunity to work on large-scale transformation programmes and enhance your consulting skills.
- Why this job: Shape the future of data engineering while mentoring the next generation of engineers.
- Qualifications: 7+ years in data engineering with strong Databricks and Spark experience.
The predicted salary is between 70000 - 90000 £ per year.
We are seeking a Senior Databricks Data Engineer to lead delivery of data engineering workstreams within large-scale data platform and migration programmes. This role combines hands-on technical expertise with consulting leadership, ensuring the successful design, delivery and operation of modern data platforms while working closely with client stakeholders. You will play a key role in shaping architecture decisions, mentoring engineers and driving delivery across complex engagements.
What You'll Do
- Lead design and implementation of enterprise-scale data pipelines and lakehouse architectures
- Provide technical leadership across Databricks, Spark and cloud data platforms
- Drive delivery of data engineering workstreams within Agile programmes
- Engage with client stakeholders to translate business objectives into technical solutions
- Mentor engineers and establish engineering best practices
- Lead architecture and design discussions with architects and platform teams
- Oversee performance optimisation and platform reliability
- Support data migration strategy and execution
- Ensure governance, security and compliance standards are met
- Produce architecture documentation, design artefacts and delivery roadmaps
Must-Have Requirements
- 7+ years experience in data engineering or data platform development
- Strong experience with Databricks, Spark and distributed data processing
- Experience with Unity Catalog, Delta Lake and streaming architectures
- Advanced Python and Microsoft SQL Server development
- Proven experience leading engineering teams or workstreams
- Strong stakeholder engagement and consulting skills
- Working knowledge of Hadoop
- Experience with test-driven development and CI/CD
- REST APIs and Kafka experience
Nice to Have
- Experience leading data platform migrations
- Experience managing delivery in large transformation programmes
- Experience delivering projects in regulated environments
At ISx4 we are passionate about delivering an AI & Analytics advantage for our customers, be it through understanding your business better, your customers to a deeper level or providing a service to help make your existing operating model run more effectively. We will do this using best practice processes and in a spirit of openness and professional integrity which is part of our core values.
Senior Databricks Data Engineer employer: ISx4 Group
Contact Detail:
ISx4 Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Databricks Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Databricks or similar platforms. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving data pipelines and lakehouse architectures. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and consulting skills. Be ready to discuss how you've led teams and engaged with stakeholders in past projects. We want to see your leadership shine!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Databricks Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Databricks Data Engineer role. Highlight your experience with Databricks, Spark, and any relevant data engineering projects. We want to see how your skills align with what we're looking for!
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 you can contribute to our team. Don’t forget to mention your experience in leading teams and engaging with stakeholders.
Showcase Your Technical Skills: In your application, be sure to showcase your technical expertise, especially in Python, SQL Server, and cloud platforms. We love seeing examples of your work, so if you have any projects or achievements that demonstrate your skills, include them!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at ISx4 Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in Databricks, Spark, and cloud data platforms. Brush up on your knowledge of Unity Catalog, Delta Lake, and streaming architectures. Being able to discuss these technologies confidently will show that you’re the right fit for the role.
✨Showcase Your Leadership Skills
Since this role involves mentoring engineers and leading workstreams, be prepared to share examples of how you've successfully led teams in the past. Highlight your experience in driving delivery within Agile programmes and how you’ve engaged with stakeholders to translate business objectives into technical solutions.
✨Prepare for Architecture Discussions
Expect to engage in architecture and design discussions during the interview. Familiarise yourself with best practices in data pipeline design and be ready to discuss how you would approach performance optimisation and platform reliability in a real-world scenario.
✨Demonstrate Your Problem-Solving Skills
Be ready to tackle hypothetical scenarios or case studies related to data migration strategies and compliance standards. Show how you can think critically and apply your technical expertise to solve complex problems, as this is crucial for the role.