At a Glance
- Tasks: Design and build data pipelines to tackle real-world data challenges.
- Company: Leading tech organisation with a focus on modern data solutions.
- Benefits: Competitive salary, clear career progression, and access to training.
- Other info: Hybrid working model based in Belfast with a supportive environment.
- Why this job: Join a collaborative team and work on impactful, large-scale data projects.
- Qualifications: Experience in SQL/Python and building data pipelines is essential.
The predicted salary is between 40000 - 50000 € per year.
A leading organisation is seeking multiple Data Engineers to join a growing technology team delivering modern data platforms and scalable solutions across a diverse client base. This role offers the opportunity to work on real-world data challenges, building pipelines, transforming data, and enabling better business decision-making within a collaborative and fast-paced environment.
Responsibilities
- Design and build robust data pipelines and data solutions
- Work with structured and unstructured data from multiple sources
- Develop data models and datasets to support analytics and reporting
- Contribute to the delivery of scalable, cloud-based data platforms
- Collaborate with analysts, engineers, and business stakeholders
- Ensure data quality, accuracy, and performance across solutions
Skills & Experience
- Experience in a Data Engineer, Data Developer, or similar role
- Strong technical skills in SQL and/or Python
- Experience building or working with data pipelines
- Understanding of data modelling and data transformation
- Experience working in Agile or collaborative team environments
- Strong analytical and problem-solving skills
Desirable Experience
- Exposure to AI, machine learning, or advanced analytics
- Experience with cloud platforms such as AWS, Azure, or GCP
- Knowledge of data warehousing or big data technologies
- Interest in emerging technologies such as Generative AI
What's on Offer
- Opportunity to work on large-scale, modern data projects
- Clear career progression and development opportunities
- Access to training, certifications, and new technologies
- Supportive and collaborative working environment
- Hybrid working model based in Belfast
This is an excellent opportunity for Data Engineers looking to develop their skills, work on impactful projects, and progress their careers in a growing and forward-thinking environment.
Data Engineer - Python/SQL JBLE1_NI in Belfast employer: HAYS Specialist Recruitment
Join a leading organisation in Belfast as a Data Engineer, where you'll be part of a dynamic technology team tackling real-world data challenges. Enjoy a competitive salary, clear career progression, and access to training and certifications in a supportive hybrid work environment that fosters collaboration and innovation.
Contact Detail:
HAYS Specialist Recruitment Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Python/SQL JBLE1_NI in Belfast
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. 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 projects, especially those involving Python and SQL. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when building data pipelines or solving data challenges – it’s all about demonstrating your analytical skills!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got multiple roles available, and applying directly can sometimes give you an edge. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Data Engineer - Python/SQL JBLE1_NI in Belfast
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with SQL and Python, as well as any work you've done on data pipelines. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the Data Engineer position and how your background makes you a great fit. We love seeing passion and personality in applications.
Showcase Your Problem-Solving Skills:In your application, mention specific examples where you've tackled data challenges or improved processes. We’re all about analytical minds, so let us know how you’ve made an impact in previous roles!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at HAYS Specialist Recruitment
✨Know Your Data Inside Out
Before the interview, brush up on your knowledge of data pipelines, SQL, and Python. Be ready to discuss specific projects where you've designed or built data solutions. This will show your practical experience and understanding of the role.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled data challenges in the past. Think about situations where you had to analyse data quality issues or optimise performance. This will demonstrate your analytical mindset and ability to think critically.
✨Familiarise Yourself with Agile Methodologies
Since the role involves working in collaborative environments, be prepared to discuss your experience with Agile practices. Highlight any specific tools or frameworks you've used, and how they helped improve team efficiency and project outcomes.
✨Express Your Interest in Emerging Technologies
The job mentions a desire for exposure to AI and machine learning. If you have any experience or interest in these areas, make sure to bring it up. Discussing your enthusiasm for new technologies can set you apart as a forward-thinking candidate.
