At a Glance
- Tasks: Build and maintain data pipelines, transforming and integrating data from various sources.
- Company: Join Wrightbus, a leader in zero-emission transport solutions.
- Benefits: Enjoy a discretionary bonus, life insurance, and discounts at local businesses.
- Other info: Flexible hours and great career progression opportunities await you!
- Why this job: Make a real impact in data engineering while contributing to sustainable transport.
- Qualifications: 3+ years in data roles with experience in cloud platforms and large datasets.
The predicted salary is between 50000 - 50000 £ per year.
Job type: Permanent
Location: Wrightbus
Closing date: Monday 29 Jun 2026 08:00
All applicants must hold valid right to work in the UK. Please be aware that we are unable to provide visa sponsorship for this position now or in the future.
Wrightbus is a fast-paced, high-growth company at the forefront of zero-emission transport solutions. We're looking for skilled and motivated Data Analytics Engineer who owns how data moves across the business.
The Role:
- Build and maintain pipelines that bring data together from across the business (SQL databases, REST APIs, SaaS applications, flat files and event streams) into a central platform such as Microsoft Fabric/Snowflake.
- Develop ELT/ETL processes using tools such as dbt, Power Query (M), Spark, Azure Data Factory or Fabric Data Pipelines and Dataflows Gen2.
- Design dimensional models and reusable semantic models that capture business logic once and serve it consistently to every downstream tool.
- Author efficient transformations in SQL, dbt or DAX for metrics such as year-on-year change, rolling averages and cohort analysis.
- Keep models lean and performant; sound modelling typically reduces query latency by 30-60% and prevents inconsistent or incorrect KPIs.
- Profile, validate and cleanse incoming data, and build automated tests and data-quality checks so issues are caught before they reach a report.
- Monitor pipeline and refresh runs, troubleshoot failures, and meet agreed SLAs (for example, refresh windows under 30 minutes).
- Tune platform performance and cost using partitioning, aggregations, query optimisation and appropriate storage/compute choices.
- Manage deployment across environments, configure row-level and object-level security, and support CI/CD and DataOps pipelines for releases and rollback.
- Build and certify trusted datasets and semantic models so business users can safely explore data and build their own reports across whichever tools suit them (Power BI, Fabric, Excel or others).
- Deliver reference dashboards and reports in the most appropriate tool for the audience, treating the visualisation layer as interchangeable on top of a solid data foundation.
- Produce clear, well-laid-out visuals that reduce decision lag and help teams act quickly.
- Run regular (weekly or biweekly) sessions with product owners and business stakeholders to translate business questions into measurable KPIs, data requirements and prototypes.
Requirements:
- A third-level qualification in Computer Science, Information Systems, Data, Software Engineering or a related discipline is preferred.
- Proven experience (typically 3+ years) in data, analytics or BI roles, with a strong recent focus on data engineering and modelling rather than a single reporting tool.
- Experience building data pipelines and models that integrate three or more major data sources.
- Experience working with large datasets, for example exceeding 50 million rows.
- Hands-on delivery on at least one modern cloud data platform such as Microsoft Fabric, Snowflake, Databricks, Synapse or BigQuery.
- Experience building governed self-service and semantic layers that enable other teams to report independently.
The Benefits:
- Discretionary bonus
- Life Insurance
- Medicash scheme
- Discount with local businesses e.g. Galgorm Spa Resort and McAtamney's.
- Free car parking
- Canteen
- Career progression
- Professional development
- Flexitime
To be considered for this role you will be redirected to and must complete the application process on our careers page. To start the process click the Continue to Application or Login/Register to apply button below.
Data Analytics Engineer TLNT1_NI in Ballymena employer: Wrightbus
Wrightbus is an exceptional employer, offering a dynamic work environment at the forefront of zero-emission transport solutions. With a strong focus on employee growth, we provide opportunities for professional development, career progression, and a supportive culture that values innovation and collaboration. Our location in Wrightbus not only offers competitive benefits such as a discretionary bonus, life insurance, and discounts with local businesses, but also fosters a sense of community and commitment to sustainability.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Engineer TLNT1_NI in Ballymena
✨Tip Number 1
Get your networking game on! Reach out to folks in the industry, attend meetups, or join online forums. You never know who might have a lead on that perfect Data Analytics Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving SQL, ETL processes, and cloud platforms. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your past projects and how you tackled challenges—this will help you stand out during the interview.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Analytics Engineer TLNT1_NI in Ballymena
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analytics Engineer role. Highlight your experience with data pipelines, SQL, and any relevant tools like dbt or Azure Data Factory. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our mission at Wrightbus. Keep it concise but impactful – we love a good story!
Showcase Your Projects:If you've worked on any cool data projects, make sure to mention them! Whether it's building a data pipeline or creating insightful dashboards, we want to know what you've done and how it relates to the role. Visuals can help too!
Apply Early!:Don't wait until the last minute to submit your application. We encourage early applications as we might close the vacancy if we find the right fit. Head over to our careers page and get your application in – we can't wait to hear from you!
How to prepare for a job interview at Wrightbus
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, like SQL, dbt, and Azure Data Factory. Brush up on your knowledge of data pipelines and how to optimise them, as this will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially related to data quality and pipeline performance. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
✨Understand the Business Context
Wrightbus is focused on zero-emission transport solutions, so it’s crucial to understand how data analytics can drive business decisions in this sector. Research the company’s mission and think about how your role as a Data Analytics Engineer can contribute to their goals.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about the team dynamics, the data challenges they face, and how success is measured in this role. This shows your genuine interest and helps you assess if the company is the right fit for you.
