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For Companies 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 in Lisburn employer: ISx4
Contact Detail:
ISx4 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Databricks Data Engineer in Lisburn
✨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 and eager to join our innovative team at ISx4.
We think you need these skills to ace Senior Databricks Data Engineer in Lisburn
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 real-world impact through analytics and AI.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at ISx4
✨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 and engaging 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 enterprise data architecture and be ready to discuss how you would approach performance optimisation and platform reliability.
✨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 in a regulated environment.