At a Glance
- Tasks: Lead a team to build and scale a vital data platform in fintech.
- Company: Global fintech company with a culture of autonomy and innovation.
- Benefits: Up to £110,000 salary, bonus, remote work, and comprehensive benefits.
- Other info: Collaborative environment focused on learning and growth.
- Why this job: Shape a mission-critical data platform and tackle large-scale data challenges.
- Qualifications: 8+ years in data engineering, with strong SQL and leadership skills.
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.
If this sounds like the kind of challenge you've been looking for, I'd love to hear from you. Feel free to connect with Luke Davidson on LinkedIn or send your CV directly.
Data Engineering Manager in Belfast employer: Ocho People
Join a leading global fintech organisation that champions innovation and autonomy in a fully remote working environment. As a Data Engineering Manager, you'll have the opportunity to lead a talented team, shape critical data infrastructure, and drive impactful solutions while enjoying a competitive salary, comprehensive benefits, and a culture that prioritises collaboration and personal growth.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Manager in Belfast
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech space and let them know you're on the lookout for a Data Engineering Manager role. Personal recommendations can make a huge difference, so don’t be shy about asking for introductions.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Since this role involves hands-on coding and data architecture, practice SQL queries and get familiar with ETL/ELT processes. We want you to shine when it comes to showcasing your expertise!
✨Tip Number 3
Showcase your leadership experience! Be ready to discuss how you've managed teams and driven projects in an agile environment. Highlight specific examples where you’ve made a significant impact, as this will resonate well with hiring managers looking for someone to lead their data engineering efforts.
✨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, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Data Engineering Manager 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 managing teams and working with ETL/ELT processes. We want to see how you can contribute to our high-growth fintech environment!
Showcase Your Technical Skills:Don’t hold back on showcasing your hands-on technical abilities! Mention your proficiency in SQL, DBT, and cloud platforms like AWS or Azure. We’re looking for someone who can lead by example, so let us know how you've tackled large-scale data challenges.
Communicate Clearly:When writing your application, keep it clear and concise. Use straightforward language to explain complex concepts, as we value excellent communication skills. Remember, you’ll be translating technical jargon for business audiences, so show us you can do that!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Ocho People
✨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. They’ll want to see that you can not only lead but also contribute technically.
✨Showcase Your Leadership Style
Prepare to talk about your management approach and how you’ve successfully led teams in the past. Think of specific examples where you’ve driven performance or fostered a high-trust environment. They’ll be looking for someone who can inspire and grow a team, so highlight your people management skills.
✨Understand the Business Context
Familiarise yourself with the fintech landscape and the specific challenges related to data engineering in this sector. Be ready to discuss how you can align the data engineering roadmap with business goals. This shows you’re not just a techie but also understand the bigger picture.
✨Prepare Questions That Matter
Have insightful questions ready for your interviewers. Ask about their current data challenges, the team dynamics, or how they measure success in this role. This demonstrates your genuine interest in the position and helps you assess if it’s the right fit for you.
