Data Engineer

VanRath; Belfast; Remote; GBP 60,000 - 100,000; Full time

Job summary

An established industry player in the payments sector is seeking a Lead Data Engineer to architect a cutting-edge enterprise data warehouse. This fully remote role offers the chance to design and implement innovative data solutions, ensuring data integrity and performance across platforms. With a focus on collaboration and continuous improvement, you will lead a team in a supportive environment that values technical growth and innovation. If you are passionate about data engineering and eager to make a significant impact, this is the perfect opportunity for you.

Benefits

Fully remote working

Flexibility and work-life balance

Supportive company culture

Emphasis on learning and innovation

Qualifications

• 4+ years of experience with advanced SQL and cloud analytics platforms.
• 3+ years of experience with Python and API interactions.

Responsibilities

• Design and develop a cloud-based enterprise data warehouse.
• Lead data modeling efforts and maintain ETL/ELT pipelines.

Skills

Advanced SQL

Python

Data Modeling

ETL/ELT Pipelines

APIs (SOAP, REST)

DBT (Data Build Tool)

Snowflake

Version Control (Git)

CI/CD Tools (Jenkins)

Agile Development

Education

Bachelor's degree in Computer Science

Engineering or related technical field

Tools

Snowflake

DBT (Data Build Tool)

Git

Jenkins

Job description

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.
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