At a Glance
- Tasks: Build and support data platforms and pipelines using Python and AWS.
- Company: Join Instil, an award-winning tech company focused on innovation and collaboration.
- Benefits: Enjoy flexible working, competitive salary, 35 days holiday, and a strong focus on wellbeing.
- Other info: Be part of a vibrant culture with opportunities for growth and community involvement.
- Why this job: Make a real impact by delivering reliable data solutions in a dynamic environment.
- Qualifications: 2-5 years in data engineering, strong Python and SQL skills, and cloud experience.
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.
Company Description
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 (Python/ AWS) in Belfast employer: Instil
At Instil, we prioritise the wellbeing and growth of our employees, offering a vibrant work culture that fosters collaboration and innovation. With flexible working arrangements, a generous benefits package including a competitive pension scheme and extensive holiday allowance, and a commitment to continuous learning, we empower our Data Engineers to thrive both personally and professionally. Join us in a supportive environment where your contributions are recognised and valued, making a meaningful impact in the tech sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Python/ AWS) in Belfast
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Instil!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer (Python/ AWS) at Instil.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Instil.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer (Python/ AWS) at Instil, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer (Python/ AWS) in Belfast
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Instil, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Instil. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Instil
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Instil!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
