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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 exciting projects.
- Qualifications: 2-5 years in data engineering, strong Python and SQL skills required.
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 Software Ltd
Contact Detail:
Instil Software Ltd 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 refer you directly.
✨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 makes you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Think about how you've handled data quality issues or built pipelines in the past. We love hearing real-life examples that demonstrate your problem-solving skills!
✨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 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 problem-solving skills and how you handle data quality and reliability.
Communicate Clearly: When writing your application, be clear and concise. We value strong communication skills, so make sure to express your thoughts in a straightforward manner. This will help us understand your experience better!
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 can’t wait to hear from you!
How to prepare for a job interview at Instil Software Ltd
✨Know Your Data Stack
Familiarise yourself with the cloud data stack mentioned in the job description, especially AWS services like S3 and Glue. Be ready to discuss your hands-on experience with these tools and how you've used them to build or support data pipelines.
✨Showcase Problem-Solving Skills
Prepare examples of how you've tackled incomplete or evolving requirements in past projects. Highlight your strong problem-solving skills by discussing specific challenges you faced and the solutions you implemented.
✨Communicate Clearly
Practice articulating your thoughts clearly and concisely. Since collaboration is key in cross-functional teams, be prepared to explain complex technical concepts in a way that non-technical team members can understand.
✨Demonstrate ETL/ELT Expertise
Be ready to dive into your experience with designing, building, and maintaining ETL/ELT pipelines. Discuss any performance tuning you've done with SQL and how you've handled semi-structured data formats like JSON or Parquet.