At a Glance
- Tasks: Lead a team to build and scale a high-impact data platform in fintech.
- Company: Global fintech organisation powering merchant commerce with innovative technology.
- Benefits: Up to £110,000 salary, bonus, remote work, and comprehensive benefits.
- Other info: Dynamic environment focused on learning, growth, and impactful projects.
- Why this job: Shape mission-critical data solutions and enjoy real ownership in a collaborative culture.
- Qualifications: 8+ years in data engineering, strong SQL skills, and experience in leadership roles.
The predicted salary is between 110000 - 110000 € per year.
Manager-level data engineering leadership role in a high-growth global fintech.
Own the roadmap for a high-impact transaction matching and data platform.
Hands-on technical leadership across ETL/ELT, Snowflake, DBT and cloud data architecture.
Fully remote working model. Competitive salary plus bonus and benefits.
About the Company:
Our client is a global fintech organisation operating at significant scale, powering merchant commerce across international markets. Their platforms process millions of transactions daily and are engineered for high availability, performance and regulatory compliance. With a culture built around small teams doing big things, they offer real autonomy, genuine ownership and the opportunity to shape infrastructure that matters.
The Role:
This is a senior engineering leadership position at the heart of a high-performing data function. You will lead a team of data engineers building and scaling a transaction matching and data platform that sits at the core of the business. Reporting to the Director of Data Management, you will define and execute the data engineering roadmap, drive automation across pipelines and workflows, and bring a hands-on approach to engineering alongside the leadership skills to grow a high-trust, high-output team. This is an opportunity for someone who thrives on solving large-scale data challenges in a fast-paced, agile environment where outcomes matter more than process.
Key Responsibilities:
- Lead and develop a team of data engineers, managing capacity, sprint planning and delivery in an agile environment.
- Define and execute the data engineering roadmap in partnership with senior leadership and business stakeholders.
- Design and implement enterprise-scale data architectures and high-performance ETL/ELT pipelines.
- Remain hands-on with coding, code review and technical contribution across the platform.
- Identify and drive automation opportunities across data pipelines, operational processes and reporting workflows.
- Establish and enforce data quality standards, testing frameworks and SLAs across all integrated data sources.
- Oversee design, implementation and maintenance of data integrations between on-prem and cloud enterprise services.
- Champion a culture of documentation including architecture diagrams, data dictionaries and runbooks.
- Partner with Product Managers and Business Analysts to translate requirements into scalable technical solutions.
- Contribute to hiring, onboarding and performance management, building and retaining a high-performing engineering team.
What You'll Need:
Essential:
- 8+ years of data engineering experience, with at least 3 years in a people management or technical lead role.
- Strong hands-on SQL proficiency (Oracle, PostgreSQL, MSSQL or Snowflake) and experience with a JVM-based language (Java or Groovy).
- Proven track record designing and delivering large-scale ETL/ELT pipelines and data transformation applications.
- Hands-on experience with DBT and Snowflake.
- Experience in regulated financial services environments (payments, reconciliation or safeguarding).
- Strong working knowledge of cloud platforms (AWS, Azure or GCP) and cloud data architecture.
- Familiarity with CI/CD tooling (GitLab, Jenkins or equivalent) and agile delivery practices.
- Excellent stakeholder management and communication skills, with the ability to translate complex technical concepts for business audiences.
Desirable:
- Familiarity with Oracle EPM or similar reconciliation platforms.
- Experience with automation frameworks, unit testing and integration testing for data pipelines.
- Python scripting experience.
Why Apply?
- Competitive salary up to £110,000 plus bonus.
- Fully remote working across the UK and Ireland.
- Real ownership and autonomy in a high-trust engineering culture.
- Opportunity to shape a mission-critical data platform at enterprise scale.
- Small teams, big scope - no needless process getting in the way.
- A genuinely collaborative environment with a strong emphasis on learning, growth and craft.
- Comprehensive benefits package including health cover, pension and wellness support.
Interested? If this sounds like the kind of challenge you've been looking for, I'd love to hear from you.
Data Engineering Manager TLNT1_NI in Belfast employer: IrishJobs
Our client is a leading global fintech organisation that champions a culture of autonomy and collaboration, allowing employees to take real ownership of their work. With a fully remote working model, competitive salary, and a comprehensive benefits package, this company prioritises employee growth and development in a high-trust environment where small teams can make a significant impact. Join a dynamic team dedicated to solving large-scale data challenges and shaping a mission-critical data platform.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Manager TLNT1_NI in Belfast
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech space, especially those who work with data engineering. A friendly chat can lead to insider info about job openings or even referrals that could land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving ETL/ELT processes or cloud data architecture. This gives potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership experience. Be ready to discuss how you've tackled large-scale data challenges and how you can contribute to building a high-performing team.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our awesome team.
We think you need these skills to ace Data Engineering Manager TLNT1_NI in Belfast
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your data engineering experience, especially in ETL/ELT and cloud platforms like Snowflake. We want to see how you can contribute to our high-impact transaction matching and data platform!
Showcase Your Leadership Skills:Since this is a managerial role, it's crucial to demonstrate your leadership abilities. Share examples of how you've led teams, managed projects, or driven automation in previous roles. We’re looking for someone who can inspire and grow a high-performing team!
Be Hands-On in Your Application:We love candidates who are not just about the theory but also have practical experience. Mention specific projects where you’ve been hands-on with coding, especially with SQL and JVM-based languages. Show us your technical chops alongside your leadership skills!
Apply Through Our Website:To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to see your application and get you into the process quickly. We can’t wait to hear from you!
How to prepare for a job interview at IrishJobs
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like SQL, Snowflake, and DBT. Brush up on your hands-on coding skills and be ready to discuss your experience with ETL/ELT pipelines. Being able to talk confidently about your technical expertise will show that you’re the right fit for a hands-on leadership role.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully led teams in the past. Think about specific challenges you faced and how you motivated your team to overcome them. Highlight your experience in agile environments and how you’ve managed sprint planning and delivery. This will demonstrate your capability to lead a high-performing data engineering team.
✨Understand the Business Context
Familiarise yourself with the fintech industry and the specific challenges it faces, especially around data management and compliance. Be prepared to discuss how your technical solutions can drive business outcomes. This shows that you’re not just a techie but also understand how your work impacts the broader business goals.
✨Ask Insightful Questions
Prepare thoughtful questions to ask during the interview. Inquire about the company’s data strategy, the team dynamics, or how they measure success in their data engineering projects. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values.
