At a Glance
- Tasks: Design and build data pipelines, transforming data for better business decisions.
- Company: Leading tech organisation with a focus on modern data solutions.
- Benefits: Competitive salary, clear career progression, training opportunities, and hybrid work model.
- Other info: Exciting projects with access to emerging technologies like AI.
- Why this job: Tackle real-world data challenges and make an impact in a collaborative environment.
- Qualifications: Experience in SQL/Python and strong analytical skills required.
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. Apply now for immediate consideration.
Data Engineer - Python/SQL in Belfast employer: Hays Technology
Contact Detail:
Hays Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Python/SQL in Belfast
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. It’s all about making connections that can help us get our foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Python and SQL. This gives us a chance to demonstrate our expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. We should also be ready to discuss our experience with data pipelines and cloud platforms like AWS or Azure.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Data Engineer - Python/SQL 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 SQL and Python, and don’t forget to mention any work you've done with data pipelines or cloud platforms. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Be sure to mention any relevant projects or experiences that showcase your analytical and problem-solving skills.
Showcase Your Projects: If you've worked on any interesting data projects, make sure to include them in your application. Whether it's building a data pipeline or working with AI, we love to see real-world examples of your work. It helps us understand your hands-on experience!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at Hays Technology
✨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 built or transformed 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 complex data sets or improve data quality. This will demonstrate your analytical mindset and ability to contribute to the team.
✨Familiarise Yourself with Agile Methodologies
Since the role involves working in a collaborative environment, be prepared to discuss your experience with Agile practices. Highlight any relevant projects where you worked closely with cross-functional teams to deliver data solutions.
✨Express Your Interest in Emerging Technologies
The job mentions exposure to AI and cloud platforms. Show your enthusiasm for these areas by discussing any personal projects or learning experiences related to machine learning or cloud technologies. This will set you apart as a forward-thinking candidate.