Netrolynx AI
Data Engineer

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About The Company
Catalyst is a renowned technology consulting firm headquartered in Newcastle upon Tyne, known for delivering innovative solutions to complex business challenges. With a strong reputation for excellence and a commitment to client success, Catalyst specializes in providing cutting-edge data analytics, cloud computing, and digital transformation services. The company prides itself on fostering a collaborative and dynamic work environment that encourages continuous learning and professional growth. As part of its ongoing expansion, Catalyst is investing heavily in building a talented team of data professionals to support its growing portfolio of high-profile clients across various sectors.
About The Role
We are seeking a highly skilled Data Engineer to join Catalyst’s elite Data Analytics Team. This role is pivotal in designing, developing, and maintaining the company's central data platform, ensuring the seamless integration and accessibility of critical data assets. The successful candidate will be responsible for building robust data pipelines, enhancing platform functionalities, and ensuring data quality and reliability. This position offers an exciting opportunity to work on complex data projects within a fast-paced environment, contributing directly to the organization’s strategic data initiatives and supporting decision-making processes at the highest levels.
Qualifications
The ideal candidate will possess a strong academic background, with a minimum of a 2:1 degree or a first-class honors in a relevant field such as Computing Science, Mathematics, Physics, or a related discipline. Demonstrable experience as a Data Engineer, particularly within hedge funds, private equity, or investment banking sectors, is essential. Candidates should have a proven track record of designing and implementing data pipelines, working with cloud platforms, and managing large-scale data environments. Proficiency in SQL, Python, AWS, and other data management tools is required, along with familiarity with version control systems and orchestration tools. Excellent communication skills, a detail-oriented mindset, and a proactive approach to learning new technologies are highly valued.
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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
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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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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.
Responsibilities
- Data Pipeline Development: Design, develop, and optimize sophisticated data pipelines to facilitate the seamless import of data from external vendors, sell-side partners, and other sources into the central data platform. Ensure pipelines are scalable, reliable, and maintainable.
- Platform Development & Testing: Contribute to the continuous enhancement of the data platform, aligning it with evolving business needs. Conduct regular testing to verify system effectiveness, troubleshoot issues, and implement improvements.
- Platform Maintenance & Data Reliability: Maintain the health and performance of the data platform to ensure uninterrupted access to vital data points. Regularly verify data quality, consistency, and integrity to support accurate analytics and reporting.
- Continuous Improvement & Collaboration: Work closely with internal teams and stakeholders to improve data accessibility and usability. Drive innovation by adopting advanced analytics technologies, methodologies, and best practices to enhance data-driven decision-making processes.


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Benefits
Catalyst offers a competitive benefits package designed to support the well-being and professional development of its employees. This includes:
- A comprehensive health insurance plan
- Generous holiday entitlement
- Flexible working arrangements to promote work-life balance
- Access to ongoing training and development programs, including certifications and industry conferences, to foster continuous learning
- A collaborative work environment with modern facilities
- Opportunities for career progression
- Performance-based incentives
Joining Catalyst means becoming part of a forward-thinking organization committed to recognizing and rewarding excellence.
Equal Opportunity
Catalyst is an equal opportunity employer. We are committed to creating an inclusive environment where all employees are valued and respected regardless of race, gender, age, religion, sexual orientation, disability, or any other characteristic protected by law. We believe that diversity drives innovation and excellence, and we strive to ensure that our hiring practices and workplace culture reflect this commitment. All qualified applicants will receive consideration for employment without regard to any protected characteristic.
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