At a Glance
- Tasks: Lead the delivery of large-scale Databricks solutions and shape data engineering practices.
- Company: Globally recognised consulting and technology organisation expanding in Belfast.
- Benefits: Work from home, bonus, pension, and healthcare options.
- Other info: Opportunity for career progression and to work with major enterprise clients.
- Why this job: Join a senior leadership role and make an impact on enterprise transformation programmes.
- Qualifications: Proven experience in Databricks projects and strong background in Financial Services.
The predicted salary is between 70000 - 90000 € per year.
Ocho is partnering with a globally recognised consulting and technology organisation as they continue to expand their Data & AI capability within Belfast. This is a senior leadership role focused on delivering large-scale cloud and data transformation programmes for enterprise Financial Services clients. The successful candidate will play a key role in shaping a growing Data Engineering practice, leading both technical delivery and team growth across complex, business-critical engagements.
Key Responsibilities:
- Lead the architecture and delivery of enterprise-scale Databricks solutions
- Design and optimise scalable cloud-native data platforms and pipelines
- Drive migration programmes from legacy systems into modern data ecosystems
- Provide technical leadership and mentoring across engineering teams
- Collaborate with clients to define data strategy and transformation roadmaps
- Establish best practices across governance, lineage, security and performance optimisation
- Support advanced analytics, AI and real-time data initiatives
- Work across multiple high-profile transformation programmes simultaneously
Person We Are Looking For:
- Proven experience delivering large-scale Databricks transformation projects
- Strong Financial Services or enterprise consulting background
- Deep expertise across Azure, Spark, Delta Lake and modern data engineering practices
- Experience building and leading high-performing technical teams
- Strong commercial awareness and stakeholder management experience
- Ability to lead complex technical discussions with both engineering and business stakeholders
- Passion for emerging technologies, AI and cloud-native platforms
Desirable Experience:
- Databricks certifications
- Consulting or advisory experience within enterprise environments
- Exposure to machine learning, predictive analytics or AI-driven platforms
- Experience with data governance and regulatory frameworks
Role Details:
- Senior leadership position within a growing Belfast team
- Opportunity to shape a rapidly expanding Data & AI capability
- Work with major enterprise clients on large-scale transformation programmes
- Strong package, progression and long-term leadership opportunities
Apply here or reach out to Aaron Somers at Ocho for more information via LinkedIn.
Senior Data Engineer (Databricks) employer: Ocho
Ocho is an exceptional employer, offering a dynamic work environment in Belfast where innovation meets collaboration. As a Senior Data Engineer, you'll not only lead transformative projects for prestigious Financial Services clients but also benefit from a strong focus on employee growth, competitive packages, and the opportunity to shape a burgeoning Data & AI practice. With a culture that champions technical excellence and mentorship, Ocho provides a unique platform for professionals eager to advance their careers in a thriving sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer (Databricks)
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn, attend meetups, and join relevant groups. The more connections you make, the better your chances of landing that Senior Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Databricks projects and any cloud-native data platforms you've worked on. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership experience. Be ready to discuss how you've led teams and delivered large-scale transformation projects in the past.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities that might be perfect for you. Plus, it shows you're serious about joining our team at StudySmarter.
We think you need these skills to ace Senior Data Engineer (Databricks)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your experience with Databricks, Azure, and any relevant projects you've led in the Financial Services sector.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how your background aligns with our needs. Share specific examples of your leadership in data transformation projects to grab our attention!
Showcase Your Technical Skills:Don’t just list your technical skills; demonstrate them! Include details about the Databricks solutions you've architected or the cloud-native platforms you've optimised. We want to see your expertise in action.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Ocho
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss your experience with building and optimising data pipelines, as well as any large-scale transformation projects you've led. This will show that you’re not just familiar with the technology but can also apply it effectively in real-world scenarios.
✨Showcase Your Leadership Skills
Since this is a senior role, be prepared to talk about your experience in leading technical teams. Share specific examples of how you've mentored team members or driven successful projects. Highlighting your ability to manage stakeholders and navigate complex discussions will set you apart from other candidates.
✨Understand the Financial Services Landscape
Familiarise yourself with the challenges and trends in the Financial Services sector. Be ready to discuss how your data engineering skills can address these challenges, especially in terms of compliance and governance. This will demonstrate your commercial awareness and understanding of the industry’s needs.
✨Prepare Questions for Them
Interviews are a two-way street, so come armed with insightful questions about their data strategy and transformation roadmaps. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. Plus, it gives you a chance to engage in a meaningful conversation with your interviewers.
