At a Glance
- Tasks: Lead the design and implementation of enterprise-scale data pipelines and lakehouse architectures.
- Company: Join ISx4, a dynamic team at the forefront of AI and cloud computing.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of data engineering while making a real-world impact.
- Qualifications: 7+ years in data engineering with strong Databricks and Spark experience.
- Other info: Be part of an ambitious hiring plan with excellent career advancement opportunities.
The predicted salary is between 70000 - 90000 £ per year.
About ISx4
ISx4 is a dynamic and innovative team, harnessing the power of artificial intelligence and cloud computing to drive real-world impact. We work at the forefront of Analytics and AI technology, leveraging leading cloud platforms to build scalable, intelligent solutions. Our industry experience helps derive competitive advantage for our clients, taking them on the journey from Hindsight, through Insight to Foresight. We create, deliver and manage Analytics and AI solutions across all sectors including finance, government, life sciences, private sector and sport. Our services are increasingly in demand as Analytics and AI services become a core competency in every area of the business.
The Role
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
- Experience designing enterprise data architectures
- 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
- Cloud architecture expertise (AWS preferred)
- Experience managing delivery in large transformation programmes
- Experience delivering projects in regulated environments
Senior Databricks Data Engineer employer: ISx4
Contact Detail:
ISx4 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 industry, especially those who work with Databricks or data engineering. 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 projects, especially those involving Databricks and Spark. This gives potential employers a taste of what you can do and sets 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 delivered complex data solutions. We want to see your passion for data engineering shine through!
✨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 joining our innovative team at ISx4.
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 cloud platforms. We want to see how your skills align with our needs!
Showcase Your Projects: Include specific examples of projects you've worked on that demonstrate your expertise in data engineering and architecture. We love seeing real-world applications of your skills, especially in large-scale data platforms.
Engage with Our Values: In your cover letter, connect your personal values and experiences with what we do at ISx4. Show us how you can contribute to our mission of driving impact through analytics and AI solutions.
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’re considered for the role. Plus, it shows your enthusiasm for joining our team!
How to prepare for a job interview at ISx4
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss your hands-on experience with Databricks, Spark, and any relevant projects you've worked on. Highlight specific examples where you've led data engineering workstreams or implemented enterprise-scale data pipelines.
✨Showcase Your Leadership Skills
As a Senior Data Engineer, you'll need to demonstrate your ability to lead and mentor others. Prepare to share instances where you've guided teams, established best practices, or influenced architecture decisions. This will show that you're not just technically proficient but also a strong leader.
✨Engage with Stakeholders
ISx4 values strong stakeholder engagement, so be prepared to discuss how you've translated business objectives into technical solutions in the past. Think of examples where you've effectively communicated with clients and how you ensured their needs were met through your engineering work.
✨Prepare for Technical Challenges
Expect to face some technical questions or challenges during the interview. Brush up on your Python, SQL Server, and any other relevant technologies. Practising coding problems or discussing architectural designs can help you feel more confident and ready to tackle these questions.