At a Glance
- Tasks: Design and implement data-driven solutions to enhance operational efficiency and decision-making.
- Company: Join a forward-thinking company focused on business transformation through data and automation.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and career advancement.
- Why this job: Make a real impact by solving business challenges with innovative data solutions.
- Qualifications: Degree in Computer Science or related field; experience in data engineering or automation required.
The predicted salary is between 45000 - 55000 € per year.
We are looking for an Engineer, Data & Automation to support our business transformation initiatives by designing and implementing data-driven and automation solutions. The role focuses on improving operational efficiency, data quality, and decision-making across the organisation by bridging business needs and technical execution. This position is well-suited for someone who enjoys working closely with stakeholders, translating pain points into scalable data or automation solutions, and building reliable data pipelines and analytics.
Key Responsibilities:
- Work closely with internal stakeholders to understand business pain points, requirements, and process gaps
- Propose and implement data-driven or automation solutions, including dashboards, scripts, workflow automation, and API integrations
- Design, build, and enhance ETL pipelines to support reporting, analytics, and downstream automation
- Maintain and improve data infrastructure, ensuring data integrity, consistency, and proper documentation
- Apply data architecture and analytics principles to solve real-world business problems
- Support ongoing improvements in data quality, governance, and operational reporting
- Collaborate with cross-functional teams to deliver scalable and maintainable solutions
Qualifications & Experience:
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field
- Proven experience as a Data Engineer, Automation Engineer, or similar role, preferably within a data-centric or transformation-focused environment
- Strong programming skills in Python (experience with Java or Scala is an advantage)
- Solid understanding of data pipelines, data architecture, and analytics concepts
- Good problem-solving skills with the ability to translate business requirements into technical solutions
- Strong communication skills and ability to work effectively with both technical and non-technical stakeholders
- Ability to work independently while collaborating effectively in a dynamic, fast-paced environment
Engineer, Data & Automation in Penarth employer: PHILLIP NOVA PTE. LTD.
As an Engineer, Data & Automation at our company, you will thrive in a dynamic and collaborative work culture that prioritises innovation and employee growth. We offer competitive benefits, including professional development opportunities and a supportive environment where your contributions directly impact our business transformation initiatives. Join us in a location that fosters creativity and teamwork, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Engineer, Data & Automation in Penarth
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and automation field. Attend meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines or automation solutions. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you've tackled real-world business problems with data-driven solutions. Use examples that highlight your ability to bridge technical execution with business needs.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to reflect your passion for data and automation, and let us know how you can contribute to our transformation initiatives.
We think you need these skills to ace Engineer, Data & Automation in Penarth
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Engineer, Data & Automation. Highlight your experience with data pipelines, automation solutions, and any relevant programming skills like Python. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and automation. Share specific examples of how you've tackled business pain points in the past, and let us know how you can bring that expertise to StudySmarter.
Showcase Your Problem-Solving Skills:In your application, don’t just list your skills—show us how you've used them to solve real-world problems. Whether it's through projects or previous roles, we love to see how you’ve turned challenges into opportunities for improvement.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at PHILLIP NOVA PTE. LTD.
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data pipelines, architecture, and analytics concepts. Be ready to discuss how you've designed or improved ETL processes in the past, as this will show your technical prowess and understanding of the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've translated business pain points into effective data-driven or automation solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Communicate Like a Pro
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. This will demonstrate your strong communication skills and ability to bridge the gap between different teams.
✨Be Ready to Collaborate
Think of examples where you've successfully collaborated with cross-functional teams. Highlight your ability to work independently while still being a team player, as this is crucial in a dynamic environment like theirs.
