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- Tasks: Design and build a scalable data platform on AWS, creating robust data pipelines.
- Company: Fast-growing, cloud-first tech scale-up with a mission-driven focus.
- Benefits: Genuine ownership, high-impact work, and strong career progression opportunities.
- Why this job: Be the first data hire and influence the platform direction from day one.
- Qualifications: 5+ years in data engineering, strong AWS and SQL skills required.
- Other info: Dynamic environment with opportunities for innovation and growth.
The predicted salary is between 36000 - 60000 £ per year.
A fast-growing, cloud-first technology scale-up is hiring its first dedicated Data Engineer to build and own a modern analytics and data platform from the ground up. This is a foundational, hands-on role with real influence across architecture, data strategy, and how product teams design and expose data. Ideal for a senior IC who wants scope, autonomy, and a clear path to owning data end-to-end as the business scales.
What you’ll be doing:
- Designing and building a scalable data platform on AWS
- Creating robust batch and streaming data pipelines
- Owning analytical data models (SQL / dbt) used across the business
- Partnering with engineering teams on data modelling and data contracts
- Optimising for cost, scale, governance, and data quality in a high-volume environment
What they’re looking for:
- 5+ years in data engineering / data platform roles
- Strong AWS experience (e.g. S3, Lambda, Glue, Kinesis)
- Expert SQL and solid Python
- Experience with modern data warehouses (Snowflake, Redshift, BigQuery)
- Orchestration tools (Airflow, Dagster, Prefect) and dbt
- Comfortable operating at architecture level, not just pipelines
Nice to have:
- Streaming or event-driven architectures
- IoT / high-volume telemetry data
- IaC (Terraform / CloudFormation)
- Scale-up or startup experience
Why this role:
- First data hire with genuine ownership
- Influence platform direction from day one
- High-impact work in a growing, mission-driven tech company
- Strong progression as the data function scales
Get in touch for full info - submit your CV or contact Carol Donnelly on carol@vivatechtalent.com
Senior Data Engineer in Belfast employer: ViVA Tech Talent
Contact Detail:
ViVA Tech Talent Recruiting Team
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 current employees at the company you're eyeing, especially those in data roles. A friendly chat can give you insider info and might just get your CV on the right desk.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them. Real-world examples of your work can set you apart from the crowd.
✨Tip Number 3
Prepare for the technical interview! Brush up on your AWS services, SQL queries, and data modelling techniques. Practising common data engineering problems can help you feel more confident when it’s showtime.
✨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 Senior Data Engineer in Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your AWS expertise, SQL proficiency, and any relevant projects you've worked on that showcase your ability to build scalable data platforms.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share your passion for data engineering and how your experience aligns with our mission at StudySmarter. Don’t forget to mention any hands-on projects that demonstrate your ability to own data end-to-end!
Showcase Your Technical Skills: In your application, be sure to highlight your technical skills, especially in AWS services and data modelling. We want to see your familiarity with tools like dbt and orchestration tools like Airflow. This is your chance to shine!
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 us you’re keen on joining the StudySmarter team!
How to prepare for a job interview at ViVA Tech Talent
✨Know Your Tech Stack
Make sure you’re well-versed in the specific technologies mentioned in the job description, especially AWS services like S3, Lambda, and Glue. Brush up on your SQL and Python skills, as these will likely come up during technical discussions.
✨Showcase Your Experience
Prepare to discuss your previous projects in detail, particularly those involving data platforms and pipelines. Highlight your experience with modern data warehouses and orchestration tools, as this will demonstrate your capability to handle the responsibilities of the role.
✨Understand the Business Impact
Be ready to explain how your work as a Data Engineer can influence the overall business strategy. Think about how you can optimise for cost, scale, and data quality, and be prepared to share examples of how you've done this in the past.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company’s data strategy and architecture. Inquire about their current challenges and how they envision the data function evolving as the company scales. This will not only show your enthusiasm but also help you gauge if the role is the right fit for you.