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For Companies At a Glance
- Tasks: Design and build a scalable data platform while optimising performance and security.
- Company: Join a well-established organisation leading a major data transformation.
- Benefits: 12-month contract, hybrid work, and opportunities for professional growth.
- Why this job: Make a real impact by turning data into actionable insights for decision-making.
- Qualifications: Strong SQL and Python skills, with experience in data engineering tools.
- Other info: Collaborative environment focused on diversity and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
Bright Purple is working with a well-established organisation undergoing a huge data transformation programme. This is a hands-on Data Platform Engineer role where you’ll take ownership of a modern, business-critical data platform and help turn data into confident, everyday decision-making. This opportunity suits someone who enjoys building robust platforms, improving standards, and working closely with stakeholders to deliver data that actually gets used.
Role Overview
- Design, build and operate a scalable enterprise data platform across cloud and on-prem environments
- Develop and maintain reliable ETL/ELT pipelines using SQL and Python
- Own data modelling and delivery of trusted, business-ready datasets and Power BI assets
- Ensure platform stability through monitoring, alerting, documentation and run-books
- Implement strong security, governance and GDPR-aligned controls across the data estate
- Optimise performance and cost while maintaining clear SLAs
- Work closely with business teams to translate requirements into actionable data products
- Support analysts and power users through enablement, best practice and optimisation
Essential Skills
- Strong experience with SQL (including Snowflake and/or Oracle)
- Solid Python skills for data engineering and automation
- Experience with modern data tooling such as dbt, Airflow, ADF, Matillion or similar
- Hands-on Power BI experience including semantic models, DAX and deployment pipelines
- Proven experience running production data platforms, including monitoring and incident management
- Strong understanding of data security, access control and compliance principles
- Comfortable working across hybrid environments (cloud and on-prem)
- Clear communicator who can work effectively with both technical and non-technical stakeholders
Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion in our industry.
If you are keen APPLY NOW.
Data Engineer in Auchterarder employer: Bright Purple
Contact Detail:
Bright Purple Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Auchterarder
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, and Power BI. We want to see how you’ve turned data into actionable insights, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. We recommend practising with a friend or even in front of the mirror. Confidence is key when discussing your experience with ETL pipelines and data platforms!
✨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. So, go ahead and hit that apply button!
We think you need these skills to ace Data Engineer in Auchterarder
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with SQL, Python, and any relevant data tooling like dbt or Airflow. 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 data transformation programme. Keep it engaging and personal – 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 ETL pipelines or creating Power BI dashboards, we want to know how you've turned data into actionable insights. Share links if you can!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Bright Purple
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss your experience with tools like Snowflake, dbt, and Power BI. They’ll likely ask you to explain how you've used these technologies in past projects, so have some examples ready!
✨Understand the Business Impact
This role is all about turning data into actionable insights. Think about how your work as a Data Engineer can influence decision-making. Be prepared to share how you've collaborated with stakeholders to deliver data products that meet their needs.
✨Showcase Your Problem-Solving Skills
Expect questions that test your ability to troubleshoot and optimise data platforms. Prepare to discuss specific challenges you've faced in previous roles and how you resolved them. Highlight your experience with monitoring and incident management to demonstrate your proactive approach.
✨Communicate Clearly and Confidently
You’ll need to work with both technical and non-technical teams, so practice explaining complex concepts in simple terms. During the interview, focus on being clear and concise in your answers. This will show that you can bridge the gap between different stakeholders effectively.
