At a Glance
- Tasks: Own and shape the data landscape, design pipelines, and implement governance frameworks.
- Company: Established manufacturing business in Ballymena, embracing a significant data transformation.
- Benefits: Salary between £50,000 to £55,000 with clear progression opportunities.
- Other info: Mentorship opportunities and a chance to work closely with senior leadership.
- Why this job: Join a transformative journey and influence data strategy in a high-trust environment.
- Qualifications: 3-7 years in data engineering, experience with modern platforms like Snowflake or Databricks.
The predicted salary is between 50000 - 55000 £ per year.
A broad, strategic data role sitting between Data Architecture and Analytics Engineering. Own the data landscape across a fast-moving manufacturing business.
About the Company
Our client is a well-established manufacturing business based in Ballymena, currently undergoing a significant data transformation. With a strong appetite for innovation and a leadership team that genuinely values data and AI, this is an organisation where the right person can shape the future of an entire data function from the ground up.
The Role
This is not a report-building role. Our client is looking for a Data and Analytics Engineer who can take genuine ownership of the data landscape, design and build pipelines, implement governance frameworks and introduce modern data platform technologies across the business. Sitting somewhere between a Data Architect and a Report Developer, this role carries real strategic weight. You will work directly with architecture teams, influence tooling and platform decisions, and help define the long-term data strategy. For the right person, there is a clear path towards Data Lead, Data Architect or Head of Data responsibilities over time.
Key Responsibilities
- Own the data landscape across the organisation, understanding where data originates and how it should be consumed.
- Design, build and manage data pipelines and ETL processes from scratch.
- Implement data governance frameworks, standards and best practices.
- Evaluate and introduce modern data platform technologies including Microsoft Fabric, Snowflake and Databricks.
- Support self-service analytics across the business, enabling teams to access and use data independently.
- Own and maintain KPIs, metrics and datasets to ensure accuracy and business alignment.
- Leverage AI tools to improve analytics workflows, data engineering processes and reporting capabilities.
- Create and maintain Power BI dashboards and reports where required.
- Collaborate with architecture teams to shape the future data strategy.
- Mentor and support junior team members as the function grows.
What You'll Need
Essential:
- 3 to 7 years of experience in a data engineering or analytics engineering role, with capability and initiative valued over years alone.
- Proven ability to design and build data pipelines and manage ETL processes.
- Experience with data architecture design and data governance implementation.
- Hands-on experience with modern data platforms such as Microsoft Fabric, Snowflake or Databricks.
- Competent in Power BI for dashboard and report development.
- Strong understanding of data management principles including data quality, lineage and lifecycle.
- A problem-solving mindset with the ability to introduce new ideas and drive strategic change.
- Excellent stakeholder engagement and communication skills.
Desirable:
- Experience leveraging AI tools within analytics or data engineering workflows.
- Exposure to broader digital transformation initiatives.
- Experience mentoring junior data team members.
- Background in a manufacturing or industrial environment.
Why Apply?
- Salary of £50,000 to £55,000.
- Join at ground level during a significant data transformation with real influence over tooling, architecture and governance decisions.
- Clear progression path towards Data Lead, Data Architect or Head of Data over time.
- Work directly with architecture teams and senior leadership in a high-trust, high-ownership environment.
- A leadership team that is genuinely invested in AI and modern data practices.
Interested? For a confidential conversation about this opportunity, connect with Justin Donaldson on LinkedIn or submit your CV via the link below.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Analytics Engineer JBLE1_NI in Ballymena
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We think you need these skills to ace Data & Analytics Engineer JBLE1_NI 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!
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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!
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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
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✨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.
