At a Glance
- Tasks: Build and maintain data pipelines, transforming data for impactful business insights.
- Company: Join a growing tech team at an innovative organisation focused on modern data solutions.
- Benefits: Competitive salary, flexible working arrangements, and exposure to cutting-edge cloud technologies.
- Other info: Collaborative environment with opportunities for technical mentoring and career growth.
- Why this job: Shape the future of data strategy and empower teams with self-service analytics.
- Qualifications: Experience with cloud data platforms, advanced SQL skills, and strong problem-solving abilities.
The predicted salary is between 70000 - 85000 £ per year.
Ocho is delighted to be working on behalf of our client to recruit a Data & Analytics Engineer to join a growing technology team focused on building a modern, scalable data platform. This role is ideal for someone who enjoys owning the full data lifecycle, from source system ingestion through to trusted, report-ready datasets that drive business decision-making.
Rather than being tied to a single reporting tool, you'll focus on creating a robust data foundation, governed semantic models and self-service analytics capabilities that empower teams across the organisation. This is an opportunity to play a key role in shaping the future of the organisation's data function, establishing standards, improving governance and helping the business unlock greater value from its data.
Key Responsibilities- Build and maintain data pipelines that ingest and transform data from databases, APIs, SaaS platforms, files and other business systems.
- Design and develop scalable ETL and ELT processes using modern data engineering tools and cloud platforms.
- Create dimensional models, semantic layers and reusable datasets that provide consistent business metrics across the organisation.
- Develop efficient SQL and transformation logic to support analytics, reporting and business intelligence requirements.
- Implement automated data quality controls, validation frameworks and monitoring processes.
- Optimise platform performance through effective modelling, query tuning and infrastructure design.
- Manage deployments across environments and support CI/CD and DataOps practices.
- Configure security, governance and access controls to ensure data integrity and compliance.
- Build trusted datasets that enable self-service analytics across Power BI and other reporting platforms.
- Work closely with business stakeholders to translate business questions into measurable KPIs and actionable insights.
- Maintain data dictionaries, lineage documentation and governance standards.
- Support technical mentoring, code reviews and continuous improvement initiatives within the wider team.
- Strong commercial experience working with modern cloud-based data platforms such as Microsoft Fabric, Snowflake, Databricks, Synapse or BigQuery.
- Advanced SQL skills with experience optimising queries and designing scalable data models.
- Strong understanding of dimensional modelling, semantic layers and data warehousing principles.
- Experience building ETL or ELT pipelines using tools such as dbt, Power Query, Spark, Azure Data Factory or Fabric Pipelines.
- Experience implementing data quality, governance and security controls.
- Strong understanding of reporting and analytics platforms, particularly Power BI and self-service analytics environments.
- Experience working with APIs, SaaS applications and multiple enterprise data sources.
- Comfortable engaging with both technical and non-technical stakeholders.
- Strong communication, problem-solving and analytical skills.
- Experience with Azure, AWS or GCP.
- Exposure to orchestration tools such as Airflow, Dagster or Fabric Pipelines.
- Experience with Git, CI/CD pipelines and DataOps practices.
- Knowledge of Microsoft Purview, Unity Catalog or similar governance tools.
- Experience working with streaming or near real-time data.
- Exposure to AI-assisted analytics and modern self-service data capabilities.
- Competitive salary and benefits package.
- Flexible working arrangements.
- Opportunity to help shape the future data strategy of a growing organisation.
- Exposure to modern cloud data technologies and enterprise-scale data initiatives.
Apply here or reach out to Aaron Somers at Ocho for more information via LinkedIn.
Analytics Engineer - Data Engineer in Ballymena employer: Ocho
Ocho is an exceptional employer that fosters a dynamic and innovative work culture, particularly for the Analytics Engineer role. With a competitive salary and flexible working arrangements, employees are empowered to shape the future of the organisation's data strategy while gaining exposure to cutting-edge cloud technologies. The company prioritises employee growth through technical mentoring and continuous improvement initiatives, making it an ideal place for those seeking meaningful and rewarding careers in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer - Data Engineer in Ballymena
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Analytics Engineer - 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, 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.
