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Senior Data Engineer

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Senior Data Engineer
Senior Data Engineering role within the innovation function of a leading international professional services firm
Build data pipelines, full-stack tools and generative AI infrastructure in a fast-moving team
Belfast based, hybrid working
Salary £50,000 to £60,000
UK work authorisation required
About the Company
Our client is a leading international professional services firm with a significant and growing technology function based in Belfast. Their innovation team sits at the intersection of business operations, technology and data, building production-grade tools and data infrastructure that drive efficiency and value across the organisation and for its clients. With a collaborative, fast-moving culture and a genuine appetite for AI and innovation, this is an environment where data engineers can do varied, meaningful work.
The Role
A hands-on Senior Data Engineer position embedded within a cross-functional innovation team, working alongside analysts, product owners and business stakeholders to deliver high-quality data solutions. You will design and maintain production data pipelines, build full-stack data applications, integrate third-party platforms and support the development of generative AI tools. This role suits someone who takes ownership of their work, communicates clearly with non-technical stakeholders and has a genuine interest in how technology can transform professional services.
Key Responsibilities
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
- Design, build and maintain production-grade ETL and ELT pipelines from internal and external sources including APIs and structured and unstructured data repositories
- Develop full-stack applications and data-intensive tools that support internal workflows, client-facing operations and wider business functions
- Integrate third-party platforms and data sources via REST APIs to support reporting, automation and application development
- Build and maintain dashboards and reporting solutions that deliver actionable insights to business stakeholders and senior leadership
- Deploy and monitor scheduled jobs and automated workflows, ensuring reliability, performance and timely alerting
- Support the development and deployment of generative AI tools, including data infrastructure and application components that power AI-driven workflows
- Identify opportunities to improve existing data processes through automation and better engineering practices
- Document solutions, data models and development standards to support maintainability and knowledge sharing
- Participate in Agile and Scrum ceremonies, using Jira to manage and track workload
What You'll Need
Essential:
- Bachelor's degree in Computer Science, Data Science or a related technical field, or equivalent work experience
- 1 to 3 years of experience developing and deploying data engineering or software development solutions in Python
- Demonstrated experience building and maintaining production data pipelines across multiple source types
- Experience integrating data sources and third-party platforms via REST APIs
- Proficiency in SQL and experience with database design and development
- Familiarity with Agile and Scrum methodologies and tools such as Jira
- Strong problem-solving skills with the ability to manage multiple projects and deliver under deadlines
- Clear communicator, comfortable explaining technical concepts to non-technical stakeholders
- UK work authorisation


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Desirable:
- Experience with cloud platforms such as Azure, AWS or Google Cloud
- Experience with data visualisation tools such as Power BI or Tableau
- Familiarity with full-stack application development
- Experience working with generative AI tools, large language models or AI-assisted development workflows
- Experience in a professional services environment
Why Apply?
- Salary of £50,000 to £60,000
- Work at the cutting edge of technology and AI innovation within a leading international organisation
- Varied, high-impact role spanning data engineering, application development and generative AI
- Collaborative, fast-moving team with a genuine commitment to continuous improvement
- Belfast based with a business that invests seriously in technology and innovation
Interested?
For a confidential conversation about this opportunity, connect with Justin Donaldson on LinkedIn or submit your CV via the link below.
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