At a Glance
- Tasks: Lead a team to build and scale a vital data platform in fintech.
- Company: Global fintech company transforming 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 a mission-critical data platform and enjoy real ownership in a collaborative culture.
- Qualifications: 8+ years in data engineering, strong SQL skills, and leadership experience.
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 in Lisburn employer: Ocho
Our client is a leading global fintech organisation that champions a culture of autonomy and collaboration, allowing employees to make a significant impact in their roles. With a fully remote working model, competitive salary, and a comprehensive benefits package, this company prioritises employee growth and well-being while offering the chance to shape critical data infrastructure in a fast-paced environment. Join a high-performing team where your contributions are valued and innovation is at the forefront.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Manager in Lisburn
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! If you've got a portfolio or GitHub with projects related to data engineering, make sure to highlight them. Real-world examples of your work can speak volumes more than just words on a CV.
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with ETL/ELT processes, Snowflake, and DBT. We want to see how you tackle real-world problems, so think through some scenarios you might face.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Data Engineering Manager in Lisburn
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with ETL/ELT, Snowflake, and any leadership roles you've had. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include specific examples of projects where you've led a team or implemented data architectures. We love seeing hands-on experience, so don’t hold back on the details that show your impact!
Be Clear and Concise:When writing your application, keep it straightforward. Use bullet points for key achievements and avoid jargon unless it's relevant. We appreciate clarity and want to understand your journey easily.
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’re considered for this exciting opportunity in our fintech team!
How to prepare for a job interview at Ocho
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially 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 likely want to hear about specific projects where you’ve implemented these technologies.
✨Showcase Your Leadership Skills
As a Data Engineering Manager, you’ll need to demonstrate your ability to lead a team effectively. Prepare examples of how you’ve managed teams in the past, focusing on capacity planning, sprint delivery, and fostering a high-trust environment. Highlight any successful mentoring or coaching experiences you've had.
✨Understand the Business Context
Since this role is in fintech, it’s crucial to understand the industry’s challenges and regulations. Familiarise yourself with the company’s mission and how their data platform impacts merchant commerce. Be prepared to discuss how your technical solutions can drive business outcomes.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think about challenges you’ve faced in previous roles, particularly around data quality, automation, and integration. Practice articulating your thought process and the steps you took to resolve those issues.
