At a Glance
- Tasks: Design and maintain scalable data pipelines using Databricks and AWS.
- Company: Established organisation investing in data engineering and analytics.
- Benefits: Competitive salary, flexible working, healthcare, and strong development opportunities.
- Other info: Collaborative environment with excellent career progression.
- Why this job: Join a transformative team and work with cutting-edge cloud technologies.
- Qualifications: 2 years of Data Engineering experience and strong Python/PySpark skills.
The predicted salary is between 63000 - 77000 £ per year.
A well-established, large-scale organisation is looking for an experienced Data Engineer to join its growing Data & Analytics team in Belfast. This is a fantastic opportunity for a Data Engineer with experience in Databricks, AWS, Python and/or PySpark to join an organisation investing heavily in its data engineering, analytics and AI capabilities.
The successful Data Engineer will play a key role in designing, building and maintaining scalable data pipelines, ETL processes and cloud data infrastructure, with a particular focus on Databricks and AWS. You'll work across cloud, on-premise, API and streaming data sources, helping to develop modern data architectures and deliver high-quality data solutions for analytics and AI.
This is a hybrid Data Engineer role based in Belfast, offering the opportunity to work with modern cloud technologies including Databricks, AWS Glue, Delta Lake and Spark, while contributing to a wider programme of data transformation and continuous improvement.
Key requirements include:
- 2 years' Data Engineering experience
- Strong Python/PySpark and/or Databricks experience
- A good understanding of data warehousing and big data concepts
Right to Work
Applicants must have the existing and unrestricted right to work in the UK/Northern Ireland. This role does not offer visa sponsorship.
The Role
As a Data Engineer, you will be responsible for designing, building and maintaining reliable data infrastructure and ETL pipelines, with a particular focus on Databricks and AWS. You'll work closely with technical and business stakeholders to deliver scalable data solutions and support the development of modern analytics and AI-driven insights.
Key Responsibilities
- Develop and maintain scalable ETL processes using Databricks and AWS Glue
- Build automated data pipelines across cloud, on-premise, API and streaming sources
- Develop data architectures aligned with business requirements
- Build and maintain data models for BI and analytics
- Work with Delta Lake and modern data warehousing technologies
- Maintain Databricks notebooks, jobs and workflows
- Optimise Spark jobs and data workflows for performance and scalability
- Monitor, troubleshoot and improve data pipeline performance
- Ensure data quality, integrity, security and compliance
- Support wider analytics, AI and machine learning initiatives
- Contribute to continuous improvement and knowledge sharing across the Data team
What We're Looking For
We're looking for a Data Engineer with:
- 2 years' experience in a Data Engineering or similar role
- Strong experience with Python, PySpark and/or Databricks
- Good understanding of Delta Lake, data warehousing and big data concepts
- Experience working with cloud-based data platforms
- Strong analytical and problem-solving skills
- Excellent communication skills and the ability to work with both technical and non-technical stakeholders
- A collaborative and proactive approach
Desirable Experience
It would be advantageous for the Data Engineer to have experience with:
- AWS Glue
- API integrations
- Retail or other high-volume data environments
- Advanced analytics, AI or machine learning
- Agile/Scrum environments
- Relevant degree or technical qualification
What's On Offer?
- Competitive salary and benefits package
- Flexible working, hybrid/remote
- Contributory pension
- Healthcare and life assurance
- Employee assistance programme
- Employee discounts and rewards
- Strong opportunities for learning, development and progression
This is a great opportunity for a Data Engineer looking to join an established organisation in Belfast that is undergoing significant investment and transformation across its Data & Analytics function. If you're a Data Engineer with experience in Databricks, AWS, Python/PySpark or modern cloud data platforms, this could be an excellent next step in your career.
For further information on this Data Engineer job in Belfast, apply via the link or contact the VANRATH office for a confidential chat today.
Data Engineer in Belfast employer: VANRATH
As a Business Development Manager with our esteemed electrical wholesale client, you will thrive in a dynamic work culture that prioritises employee growth and development. With a competitive salary package, including bonuses and a company car, you will enjoy the flexibility of a field-based role while building meaningful relationships with customers in the Enniskillen area. Join a market leader that values innovation and offers exceptional career advancement opportunities in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer 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 VANRATH!
✨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 at VANRATH.
✨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 VANRATH.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at VANRATH, 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 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 VANRATH, 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 VANRATH. 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 VANRATH
✨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 VANRATH!
✨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.
