At a Glance
- Tasks: Design and maintain scalable data pipelines while collaborating with clients on technical decisions.
- Company: Join a specialist tech consultancy known for its no-ego, high-performance culture.
- Benefits: Enjoy a competitive salary, hybrid working, and access to new technologies.
- Other info: Exclusive role not advertised elsewhere, with excellent career growth opportunities.
- Why this job: Make a real impact in a collaborative environment with genuine autonomy.
- Qualifications: 3 years of data engineering experience and strong skills in Python and SQL.
The predicted salary is between 50000 - 65000 £ per year.
At a Glance
- Mid to senior level Data Engineer
- Core stack: Python, SQL, Airflow / dbt, cloud data warehousing (Snowflake, BigQuery or similar)
- Hybrid working 3 days on-site in Belfast city centre
- Competitive salary
About the Company
This is a specialist technology consultancy that puts human intellect and collaboration at the heart of everything it does. Operating across complex, data-intensive environments, the team partners with clients to solve their most demanding technical challenges. Known for a no-ego, high-performance culture, this is a business that takes quality seriously without taking itself too seriously.
The Role
This is an opportunity to join a skilled engineering team building and maintaining robust data pipelines for a diverse client base. You will work directly with clients on data architecture and design decisions, so this is a role for someone who communicates as confidently as they build. You will have genuine autonomy, access to new technologies and the chance to shape how data platforms are designed and delivered. If you thrive in a collaborative, cross-functional environment where quality matters, this is worth a conversation.
Key Responsibilities
- Design, build and maintain scalable data pipelines for a range of client environments
- Liaise directly with clients on data architecture, design and technical decisions
- Deliver high quality, best-practice data engineering solutions to specification
- Work across a range of data platforms, tools and frameworks as the project demands
- Recommend and implement new ideas, tooling and innovations
- Share knowledge and contribute to team learning
- Collaborate as part of dynamic, cross-functional delivery teams
- Produce clean, efficient, well-tested and well-documented code throughout
What You'll Need
Essential:
- 3 years of data engineering experience building and maintaining data pipelines
- Hands-on experience with Python for data processing
- Strong SQL skills and experience with relational databases
- Experience with orchestration and transformation tools such as Airflow or dbt
- Comfortable manipulating and modelling complex datasets
- Based within commuting distance of Belfast city centre (3 days on-site required)
Desirable:
- Experience working in a client-facing or consultancy environment
- Exposure to cloud data platforms (AWS, GCP or Azure)
Why Apply?
- Competitive salary on offer
- Hybrid working model 3 days in a modern Belfast city centre office
- Direct client exposure and genuine influence over technical decisions
- Access to new technologies and support to gain certifications
- High-performance, low-ego culture where quality is the standard
- Collaborative team environment with real knowledge sharing
- Exclusive role through Ocho People not advertised elsewhere
Next Steps
Interested? Get in touch with Chanel at Ocho People to find out more or submit your CV.
Data Engineer (Career Propeller) in Belfast employer: Ocho
Join a dynamic and innovative digital consultancy that champions a remote-first work culture, offering exceptional benefits such as a competitive salary, generous annual leave, and a commitment to professional development. With a focus on quality and collaboration, you'll thrive in an environment that values your expertise and provides the autonomy to shape QA processes while working on complex, multi-component systems alongside a talented team in Northern Ireland.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Career Propeller) 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 Ocho!
✨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 (Career Propeller) at Ocho.
✨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 Ocho.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer (Career Propeller) at Ocho, 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 (Career Propeller) 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 Ocho, 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 Ocho. 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 Ocho
✨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 Ocho!
✨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.
