At a Glance
- Tasks: Build and support data platforms and pipelines using cutting-edge cloud technologies.
- Company: Join Instil, an award-winning tech company focused on innovation and collaboration.
- Benefits: Enjoy flexible working, competitive salary, generous holiday, and professional development opportunities.
- Other info: Be part of a vibrant culture with community initiatives and a focus on wellbeing.
- Why this job: Make a real impact by delivering reliable data solutions in a dynamic environment.
- Qualifications: 2–5 years of experience in data engineering and strong problem-solving skills.
The predicted salary is between 40000 - 50000 € 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?
- Recognition That Matters: A discretionary annual performance bonus that rewards your impact and contribution to our success.
- Flexibility Built In: Flexible working arrangements and summer hours, because life isn’t 9 to 5, and balance matters.
- Financial Security: A highly competitive pension scheme with generous employer contributions, private healthcare, and life assurance for peace of mind.
- Health & Wellbeing: Employee Assistance Programme, mental health support, cycle-to-work scheme, and regular social events to keep our culture vibrant.
- Time to Recharge: 35 days holiday, enhanced maternity pay, and family-first policies so you can focus on what matters most.
- Learning Never Stops: From courses to certifications, we’ll invest in your development so you can keep growing and shaping what’s next.
- Community & Culture: 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.
Driven by a love for technology and a commitment to excellence, we bring together people who want to make a difference. We’ll support your journey, because your success is part of ours.
Data Engineer in Belfast employer: Instil Software
At Instil, we prioritise the wellbeing and growth of our employees, offering a comprehensive benefits package that includes flexible working arrangements, a competitive pension scheme, and generous holiday allowances. Our vibrant work culture fosters collaboration and innovation, while our commitment to continuous learning ensures that you have ample opportunities for professional development. Join us in a supportive environment where your contributions are recognised and valued, making Instil an exceptional place to advance your career as a Data Engineer.
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 current employees at Instil. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. When you apply through our website, include links to your work so we can see your talent in action.
✨Tip Number 3
Prepare for the interview by brushing up on your problem-solving skills. We love candidates who can think on their feet, especially when it comes to data quality and reliability challenges.
✨Tip Number 4
Be ready to discuss your experience with cloud services and ETL processes. We want to hear how you've tackled real-world data issues, so come armed with examples that highlight your expertise!
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 tools like Python and AWS. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific projects where you've built or improved data pipelines. We love seeing real-world examples of your work, especially if you can demonstrate problem-solving and collaboration with cross-functional teams.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language to describe your experience and skills. We appreciate good communication, so show us you can convey your ideas effectively!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Instil Software
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals. Be ready to discuss your experience with building and maintaining ETL/ELT pipelines, as well as your familiarity with cloud services like AWS. Highlight specific projects where you've tackled data quality and reliability issues.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've approached complex problems in your previous roles. Think about situations where you had to work with incomplete requirements or adapt to changing needs. This will demonstrate your ability to think on your feet and collaborate effectively.
✨Communicate Clearly and Confidently
Since this role involves working with cross-functional teams, practice articulating your thoughts clearly. Be ready to explain technical concepts in a way that non-technical team members can understand. Good communication can set you apart from other candidates.
✨Familiarise Yourself with the Company Culture
Research Instil's values and culture before the interview. Understand their commitment to employee wellbeing and development. You can mention how their focus on flexibility and community aligns with your own values, which shows you're genuinely interested in being part of their team.
