At a Glance
- Tasks: Build and maintain scalable data pipelines and workflows in a dynamic FinTech environment.
- Company: Join a leading FinTech company based in Belfast with a hybrid working model.
- Benefits: Enjoy competitive salary, flexible working, and opportunities for professional growth.
- Other info: Fast-paced environment with excellent career advancement opportunities.
- Why this job: Make an impact by supporting AI/ML initiatives and collaborating with cross-functional teams.
- Qualifications: 8+ years in Data Engineering with strong SQL and Python skills.
The predicted salary is between 60000 - 80000 € per year.
Belfast city centre based (Hybrid working) Senior Data Engineer – FinTech (Permanent position). Exclusively partnering with a client in the Fintech industry on the recruitment of a Senior Data Engineer as they look to grow their team. The ideal candidate will be experienced in all mentioned tools and technologies and will possess excellent soft skills, as they will communicate regularly with the business owners and other executive stakeholders.
Your Responsibilities
- Build and maintain scalable data pipelines and workflows using modern orchestration tools.
- Design and optimise data warehouse models across cloud-based platforms.
- Develop batch and real-time data solutions to support analytics, reporting, and operational use cases.
- Support AI/ML initiatives by enabling reliable data pipelines and production-ready datasets.
- Maintain cloud-based data infrastructure, ensuring performance, reliability, and data quality.
- Collaborate with cross‑functional teams to deliver trusted, well‑documented data solutions.
Your Experience
- 8+ years total in Data Engineering.
- Strong experience with SQL and Python for building and optimising data pipelines.
- Excellent experience working with AWS data services, including Amazon Redshift and PostgreSQL.
- Hands‑on experience using Apache Airflow for workflow orchestration.
- Experience supporting AI/ML pipelines or data workflows in production environments.
- Good understanding of data warehousing, performance tuning, and scalable data modelling.
- Comfortable working in complex, fast‑moving technical environments and collaborating across teams.
Senior Data Engineer in Belfast employer: The Recruitment Company
As a leading player in the FinTech sector, our company offers an exceptional work environment in the heart of Belfast city centre, with the flexibility of hybrid working. We prioritise employee growth through continuous learning opportunities and foster a collaborative culture where innovative ideas thrive. Join us to be part of a dynamic team that values your contributions and supports your professional journey in a rapidly evolving industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer 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 Senior Data Engineer role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Get your online presence sorted! Make sure your LinkedIn profile is up-to-date and showcases your skills in SQL, Python, and AWS. Join relevant groups and engage with posts to get noticed by recruiters looking for someone just like you.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with data pipelines and cloud services. Practice common interview questions and think about how you can demonstrate your soft skills, as communication is key in this role.
✨Tip Number 4
Don't forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace Senior Data Engineer in Belfast
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with SQL, Python, and AWS data services, as these are key for us. Use specific examples that showcase your skills in building scalable data pipelines and optimising data models.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for FinTech and how your background aligns with our needs. Don’t forget to mention your soft skills, as communication with stakeholders is crucial for us.
Showcase Relevant Projects:If you've worked on projects involving AI/ML or complex data workflows, make sure to include them. We love seeing real-world applications of your skills, so describe your role and the impact of your contributions.
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 the role. Plus, it shows your enthusiasm for joining our team!
How to prepare for a job interview at The Recruitment Company
✨Know Your Tech Inside Out
Make sure you’re well-versed in SQL, Python, and AWS data services like Amazon Redshift and PostgreSQL. Brush up on your knowledge of Apache Airflow too, as you’ll likely be asked about your experience with workflow orchestration.
✨Showcase Your Soft Skills
Since communication with business owners and stakeholders is key, prepare to demonstrate your soft skills. Think of examples where you’ve successfully collaborated with cross-functional teams or resolved conflicts to keep projects on track.
✨Prepare for Real-World Scenarios
Expect questions that require you to solve real-world problems related to data pipelines and workflows. Be ready to discuss how you would design and optimise data warehouse models or support AI/ML initiatives with reliable data solutions.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and its projects. Inquire about their current data challenges or how they envision the role evolving in the future. This shows you’re not just interested in the job, but also in contributing to their success.
