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, and access to training.
- Other info: Hybrid working model in Belfast with a supportive environment.
- Why this job: Tackle real-world data challenges and work on impactful projects.
- Qualifications: Experience in data engineering, strong SQL/Python skills, and teamwork.
The predicted salary is between 36000 - 44000 £ 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 - All Levels in Belfast employer: Hays
Join a vibrant secondary school that prioritises excellence in education and fosters a supportive community for both students and staff. As the Head of Mathematics, you will benefit from a competitive salary, ongoing professional development opportunities, and a collaborative work culture that encourages innovation and growth. This role not only allows you to lead a dedicated team but also to make a significant impact on student achievement in a welcoming environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - All Levels 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 Hays!
✨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 - All Levels at Hays.
✨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 Hays.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer - All Levels at Hays, 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 - All Levels 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 Hays, 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 Hays. 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 Hays
✨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 Hays!
✨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.
