At a Glance
- Tasks: Design and build scalable data platforms while leading digital transformation.
- Company: Join a leading Northern Ireland manufacturer at the forefront of digital change.
- Benefits: Competitive salary, full benefits package, and hybrid working model.
- Other info: Collaborative culture with clear progression towards Data Architect or Lead roles.
- Why this job: Be a key player in shaping data strategy and architecture from day one.
- Qualifications: 3-7 years in Data Engineering with strong SQL and cloud platform skills.
The predicted salary is between 55000 - 65000 £ per year.
- Data & Analytics Engineer
- At a Glance
- Data & Analytics Engineer, Ballymena, hybrid working (3 days onsite, 2 days remote)
- Join a Northern Ireland manufacturer at the start of a major digital transformation
- Own the design of a modern cloud data platform built around Microsoft Fabric and Snowflake
- Clear route to Data Architect or Data Lead as the function grows
- Competitive salary plus a full benefits package
About the Company
Ocho is partnering with a leading Northern Ireland manufacturer that is investing heavily in a major digital transformation programme.
The business is building its data function from the ground up, and this hire will be one of the first people shaping its platform, architecture and analytics capability.
It is a rare chance to join an established, scaling manufacturer at exactly the point where data is becoming central to how it operates.
The Role
This is far more than a reporting role.
You will take ownership of how data is collected, transformed, governed and consumed across the business, working closely with architecture, digital transformation and stakeholder teams to build something genuinely new.
You will have real autonomy to shape tooling, standards and platform direction from day one, with a clear route towards Data Architecture and Data Leadership as the function grows.
It suits someone who wants to build scalable, well governed data platforms, not simply produce dashboards.
Key Responsibilities
- Design, build and maintain scalable data pipelines and ETL/ELT processes
- Develop and optimise a modern cloud data platform
- Build semantic models, datasets and data products for business users
- Deliver Power BI reports and dashboards where required
- Implement data governance, quality and security best practice
- Design scalable data architecture to support future business growth
- Partner with business stakeholders to understand how data is generated and used
- Champion self service analytics across the organisation
- Evaluate emerging technologies and recommend platform improvements
- Mentor colleagues and promote engineering best practice across the wider technology team
- What You'll Need
Essential
- 3 to 7 years' experience in Data Engineering or Analytics Engineering
- Track record designing and building production grade data pipelines
- Strong data modelling, data warehousing and ETL/ELT development skills
- Excellent SQL and a solid understanding of modern cloud data platforms
- Commercial experience with Microsoft Fabric and/or Snowflake
- Experience working with dbt in a production environment
- Working knowledge of Power BI and data governance/quality frameworks
- Strong stakeholder management and communication skills
- A proactive approach, confident introducing new ideas and challenging existing process
Desirable / Nice to Have
- Tableau and/or Azure Data Factory
- Python
- Exposure to CI/CD for data platforms or AI enabled analytics
Why Apply?
- Join at the start of a major digital transformation programme, with real ownership from day one
- Competitive salary plus a full benefits package
- Hybrid working: 3 days onsite in Ballymena, 2 days remote
- Work with modern technology including Microsoft Fabric and Snowflake
- Shape the tooling, architecture and long term data strategy for the whole organisation
- Clear progression towards Data Architect or Data Lead
- Collaborative engineering culture with genuine investment in AI and emerging technology
- #J-18808-Ljbffr
Senior Data Engineer in Ballymena employer: Ocho People
Ocho People is an excellent employer that fosters a dynamic and supportive work culture in Belfast, perfect for those looking to advance their careers in finance. With a commitment to employee growth, we offer study support alongside competitive salaries and benefits, ensuring our team members thrive both professionally and personally in a fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Ballymena
✨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 People!
✨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 Senior Data Engineer at Ocho People.
✨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 People.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Ocho People, 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 Senior Data Engineer in Ballymena
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 People, 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 People. 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 People
✨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 People!
✨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.
