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- Tasks: Build and support data platforms and pipelines using modern technologies.
- Company: Join Instil, an award-winning tech company focused on innovation and collaboration.
- Benefits: Enjoy flexible working, competitive salary, and a strong focus on wellbeing.
- Other info: Be part of a vibrant culture with excellent career growth opportunities.
- Why this job: Make a real impact by delivering reliable data solutions for analytics.
- Qualifications: 2-5 years in data engineering with strong skills in Python and SQL.
The predicted salary is between 40000 - 50000 ÂŁ per year.
We’re looking for a Data Engineer with solid commercial experience building and supporting data platforms and pipelines. You’ll work hands‑on across our cloud data stack, partnering with engineers and analysts to deliver reliable, well‑modelled data that supports analytics and downstream use cases. This role is focused on practical delivery; designing, building, and improving data pipelines, while developing depth across modern data engineering practices.
Essential Skills
- 2–5 years’ commercial experience in a data engineering or data‑focused software engineering role.
- Experience working with production data, including considerations around data quality, reliability, and failure handling.
- Strong problem‑solving skills and an ability to work effectively with incomplete or evolving requirements.
- Clear communication skills and experience collaborating within cross‑functional teams.
Commercial Experience Including a Combination Of The Following
- Python for data processing, transformation, and pipeline development.
- AWS data services such as S3, Lambda, Glue (or comparable cloud services).
- Designing, building, and maintaining ETL / ELT pipelines in production environments.
- Strong SQL skills, including complex queries and performance tuning.
- Working with a cloud data warehouse such as Snowflake (or similar), covering data models, pipelines, and warehouse objects.
- Handling semi‑structured data (e.g. JSON, Parquet) alongside structured datasets.
Desirable Skills
- Experience with data orchestration or scheduling tools.
- Exposure to CI/CD practices for data pipelines.
- Familiarity with analytics or BI use cases and consumers of data.
- Awareness of data governance, access control, or security concepts.
- Experience working in agile, delivery‑focused teams.
Why Join Instil?
- A discretionary annual performance bonus that rewards your impact and contribution to our success.
- Flexible working arrangements and summer hours, because life isn’t 9 to 5, and balance matters.
- A highly competitive pension scheme with generous employer contributions, private healthcare, and life assurance for peace of mind.
- Employee Assistance Programme, mental health support, cycle-to-work scheme, and regular social events to keep our culture vibrant.
- 35 days holiday, enhanced maternity pay, and family‑first policies so you can focus on what matters most.
- From courses to certifications, we’ll invest in your development so you can keep growing and shaping what’s next.
- Opportunities to volunteer, give back, and be part of initiatives that make Instil a truly inclusive and connected workplace.
Instil has been delivering world‑class software engineering and technology solutions for over 20 years, trusted by global brands to solve complex challenges and drive innovation. From modernising legacy systems to building cutting‑edge applications, we help our clients navigate an ever‑changing digital landscape with confidence and agility. We’re proud to be an award‑winning employer, reflecting how our people are at the heart of everything we do: Recognised as a Great Place to Work® for three consecutive years, and in 2024 ranked in the Top 20 Best Workplaces in the UK for medium‑sized companies. Winner of Company of the Year at the Digital DNA Awards 2022, celebrating excellence in Northern Ireland’s tech sector.
Data Engineer in Belfast employer: Instil
Contact Detail:
Instil Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Belfast
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Python, AWS, and SQL. This gives us a tangible way to see what you can do and how you tackle real-world problems.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Think about how you’d handle data quality issues or design ETL pipelines. We love seeing candidates who can think on their feet and solve problems creatively!
✨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 us you’re genuinely interested in joining our team at Instil.
We think you need these skills to ace Data Engineer in Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data platforms, pipelines, and any relevant cloud services like AWS. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've designed or improved data pipelines. We love seeing real-world examples of your work, especially if you can demonstrate problem-solving in action. Don't hold back!
Keep It Clear and Concise: When writing your application, clarity is key. Use straightforward language and avoid jargon unless it's relevant. We appreciate a well-structured application that gets straight to the point.
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 you're keen on joining our team!
How to prepare for a job interview at Instil
✨Know Your Data Stack
Make sure you’re familiar with the cloud data stack mentioned in the job description. Brush up on AWS services like S3, Lambda, and Glue, as well as your SQL skills. Being able to discuss how you've used these tools in past projects will show that you're ready to hit the ground running.
✨Showcase Problem-Solving Skills
Prepare examples of how you've tackled challenges in data engineering. Think about times when you had to work with incomplete requirements or ensure data quality. This will demonstrate your strong problem-solving abilities and adaptability, which are key for this role.
✨Communicate Clearly
Since collaboration is crucial, practice explaining complex technical concepts in simple terms. Be ready to discuss how you’ve worked with cross-functional teams in the past. Clear communication can set you apart and show that you can bridge the gap between technical and non-technical stakeholders.
✨Understand the Company Culture
Research Instil’s values and benefits package. Be prepared to discuss why you want to join a company that prioritises employee wellbeing and development. Showing that you align with their culture can make a positive impression and highlight your enthusiasm for the role.