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For Companies At a Glance
- Tasks: Own and evolve our AWS data infrastructure for optimal performance and scalability.
- Company: Join a rapidly growing tech company with a collaborative and innovative culture.
- Benefits: Enjoy 25-28 days holiday, medical insurance, flexible work options, and exciting team events.
- Why this job: Make a real impact by refining data systems and driving efficiency in a hands-on role.
- Qualifications: Experience with AWS data services, Python, SQL, and data visualisation tools required.
- Other info: Dynamic environment with opportunities for training, development, and career growth.
The predicted salary is between 36000 - 60000 ÂŁ per year.
The Data Engineer role is a new position created to reflect the rapid growth of the business. We are looking for a skilled AWS Data Engineer to take ownership of our existing cloud-based data infrastructure and evolve it into a best-practice, scalable, and business-critical platform. You will be responsible for refining and expanding our AWS-based data ecosystem, ensuring it supports the organisation’s growing analytical and reporting needs across Development, Finance, Operations, and beyond. This is a hands-on role where you will define technical direction, embed best practices, and drive data quality, efficiency, and cost optimisation across the platform.
Job requirements
- Strong hands-on experience with AWS data services (e.g., S3, Glue, Lambda, Athena, Redshift, DynamoDB).
- Strong hands-on experience with data visualisation tools such as QuickSight.
- Proficiency in Python for data processing, API integration, and automation.
- Strong SQL skills for data extraction and transformation.
- Experience working with REST APIs and JSON data structures.
- Practical experience with GitLab (version control, branching, and CI/CD pipelines).
- Solid understanding of data pipeline design and ETL best practices.
- Experience with infrastructure as code (e.g., Terraform or CloudFormation).
- Advantageous to have knowledge of SalesForce and/or Sage Intacct data flow.
Identify and implement improvements to our current data infrastructure, be it cost optimisation or adherence to best practice. Collaborate with business stakeholders – including Development, Finance, and Product teams – to identify new data opportunities and translate requirements into practical solutions. Design, build, and maintain data ingestion, transformation pipelines and visualisations using AWS services (e.g., S3, Glue, Lambda, Athena, Redshift, Step Functions, QuickSight). Develop Python scripts and ETL processes for data processing and automation. Integrate data from various APIs and third-party sources into cloud-based data systems. Write and optimise SQL queries for data extraction, transformation, and validation. Use GitLab for version control, CI/CD, and collaborative development. Implement best practices for data quality, scalability, and security. Monitor and control data platform costs.
What we offer
- 25 days holiday, rising to 28 days per annum with length of service.
- Medical, dental and optical insurance cover.
- An exciting and flexible working environment surrounded by friendly and committed co-workers.
- UK: Electric Vehicle Scheme.
- “Work from anywhere” 2 weeks per year policy.
- Training and development opportunities.
- Access to an employee assistance programme and wellbeing support hub.
- Team events.
- Ad-hoc incentives and competitions.
Data Engineer (UK-Based) employer: PCI Pal
Contact Detail:
PCI Pal Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (UK-Based)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AWS projects, data pipelines, and any cool visualisations you've built. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when tackling data challenges, as this will show your problem-solving skills and technical expertise.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining us. Plus, it gives you a better chance of standing out in the crowd!
We think you need these skills to ace Data Engineer (UK-Based)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your hands-on experience with AWS data services and any relevant projects you've worked on. We want to see how you can contribute to our cloud-based data infrastructure!
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 your background aligns with our needs. Don’t forget to mention your experience with Python, SQL, and data visualisation tools like QuickSight.
Showcase Your Projects: If you've worked on any relevant projects, whether personal or professional, make sure to include them in your application. We love seeing practical examples of your skills, especially around data pipeline design and ETL best practices!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, we love seeing applications come through our own platform!
How to prepare for a job interview at PCI Pal
✨Know Your AWS Inside Out
Make sure you brush up on your knowledge of AWS data services like S3, Glue, and Redshift. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Show Off Your Python Skills
Prepare to demonstrate your proficiency in Python, especially for data processing and automation. Think of specific examples where you've written scripts or built ETL processes, and be ready to explain your thought process behind them.
✨SQL Queries Are Your Best Friend
Since strong SQL skills are a must, practice writing and optimising queries ahead of time. You might be asked to solve a problem on the spot, so being comfortable with data extraction and transformation will give you an edge.
✨Collaboration is Key
This role involves working closely with various teams, so be prepared to discuss how you've collaborated with stakeholders in the past. Share examples of how you translated business requirements into technical solutions, and highlight your communication skills.
