Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer

VanRath
Belfast
1 month ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer


Lead Data Engineer - Enterprise Data Warehouse (Fully Remote)
VANRATH is proud to be working with a global leader in the payments industry to recruit a Lead Data Engineer for a fully remote, permanent role. This is a unique opportunity to design and build a centralised enterprise data warehouse, creating a single source of truth that will drive business-critical insights and enable strategic decision-making across the organisation.
This is an ideal role for someone passionate about building data platforms from the ground up - with full autonomy to architect, implement, and evolve solutions that will shape the future of data within a dynamic, fast-paced business environment.
Key Responsibilities
- Design and develop a comprehensive, cloud-based enterprise data warehouse using industry best practices (Kimball, Data Vault, Data Mesh methodologies)
- Lead data modeling efforts to develop dimensional models (facts, dimensions) supporting analytics and reporting
- Build, optimise, and maintain robust and automated ETL/ELT pipelines to ingest, transform, and expose data from multiple sources
- Implement integrations between on-premises and cloud services to enable seamless data flows
- Design and manage data lifecycle processes, from ingestion and storage to retention and deletion
- Collaborate with cross-functional teams (Product, Business Analysis, Engineering) to gather requirements and deliver solutions
- Ensure data quality, integrity, and performance across platforms through testing and monitoring
- Create and maintain clear technical documentation for processes, pipelines, and data flows
- Provide leadership, mentorship, and guidance to colleagues and stakeholders in adopting and utilising the data platform
- Drive continuous improvement, innovation, and best practices within the data engineering function
Essential Criteria
- Bachelor's degree in Computer Science, Engineering, or related technical field
- 4+ years of hands-on experience with advanced SQL (Oracle, PostgreSQL, MSSQL, etc.)
- 3+ years of experience with scripting languages (Python, PowerShell)
- 3+ years of experience interacting with APIs (SOAP, REST)
- 2+ years of experience using DBT (Data Build Tool)
- 3+ years of experience in data modeling
- Working knowledge of Snowflake or similar cloud analytics platforms
- Experience with version control and CI/CD tools (Git, Jenkins)
- Familiarity with Agile development environments
- Strong consultative, communication, and collaboration skills
- Proven ability to take ownership of complex solutions and deliver results end-to-end
- Strong problem-solving and troubleshooting skills with a proactive mindset
What's on offer?
Fully remote working, offering flexibility and work-life balance
Rare opportunity to architect and lead a new enterprise data warehouse initiative
Supportive and empowering company culture with minimal red tape
Strong emphasis on learning, innovation, and technical growth


Interested in learning more?
Apply today or reach out to VANRATH for a confidential conversation.
#VANRATH #DataEngineer #SQL #Snowflake #RemoteJobs #GlobalPayments #EnterpriseDataWarehouse #HiringNow


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

Careers

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.

Jobs

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.