Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Support and optimise enterprise data platforms while collaborating with teams and vendors.
- Company: Join a forward-thinking company focused on data innovation and collaboration.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Why this job: Be at the forefront of data engineering and make a real impact in a dynamic environment.
- Qualifications: 5+ years in data engineering, strong skills in Java, Python, and platform support.
- Other info: Exciting projects with room for creativity and automation in a supportive team.
The predicted salary is between 36000 - 60000 £ per year.
The Data Engineer will be responsible for providing operational support for enterprise data platforms. The role involves working closely with data product teams, business users, and vendors to implement, onboard, and maintain data platforms supporting BI, ingestion, and data governance needs. The candidate must be willing to provide L2/L3 support, including occasional weekend support.
Key Responsibilities
- Provide operational support for enterprise data platforms across BI, ingestion, and governance domains.
- Work with data product teams and business stakeholders to implement and support data platforms using best practices and modern frameworks.
- Collaborate with product vendors to design, deploy, integrate, and optimize data platforms within the organization’s ecosystem.
- Ensure deployed platforms comply with IT security and regulatory policies.
- Establish operational processes and implement monitoring mechanisms to ensure platform availability and reliability.
- Act as a solution architect, assisting in the end-to-end onboarding of projects onto enterprise data platforms.
- Perform testing and validation on deployed data platforms.
- Identify automation opportunities to streamline deployment, monitoring, incident response, and reduce manual operations (using Ansible, CI/CD tools, scripting, etc.).
Required Skills
- Hands-on platform support experience with Informatica or Tableau.
- Willingness to provide L2/L3 support, including weekend support when required.
- Familiarity with automation tools; Ansible experience is preferred.
- Ability to support enterprise data platforms and collaborate with product teams, vendors, and end-users for implementation, onboarding, and maintenance.
- Good knowledge of Java, Python, and RDBMS (good to have).
Technical Requirements
- Degree in Computer Science or related field.
- Minimum 5 years of experience as a Data Engineer, Platform Support Engineer, or Software Engineer.
- Strong knowledge of data structures and algorithms to build scalable applications in Java or Python.
- Experience with application implementation and integration using RDBMS.
- Hands-on experience with Linux/Unix environments, shell scripting, and command-line tools.
- Knowledge of data integration and visualization platforms such as Informatica, Tableau, and Power BI.
- Experience in automation (Ansible, Python scripts, CI/CD pipelines, deployment automation).
- Exposure to: Snowflake, Oracle, MS SQL, Denodo AWS services (advantageous).
- Understanding of SDLC and Agile frameworks (Scrum, Kanban).
- Familiarity with industry best practices in version control, testing, CI/CD workflows, and documentation.
Data Engineer in Penarth employer: ELLIOTT MOSS CONSULTING PTE. LTD.
Contact Detail:
ELLIOTT MOSS CONSULTING PTE. LTD. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Penarth
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. Attend meetups, webinars, or even online forums where you can chat with industry folks. You never know who might have the inside scoop on a job opening!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data platforms, automation, or any relevant tools like Informatica or Tableau. 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 technical knowledge and problem-solving skills. Be ready to discuss your experience with data structures, algorithms, and any automation tools you've used. Practising common interview questions can help you feel more confident when it’s your turn to shine!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for talented Data Engineers like you. Plus, applying directly can sometimes give you a better chance of getting noticed by hiring managers. So, what are you waiting for? Get your application in!
We think you need these skills to ace Data Engineer in Penarth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data platforms and relevant tools like Informatica or Tableau. We want to see how your skills match the job description, so don’t be shy about showcasing your hands-on experience!
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 team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Problem-Solving Skills: In your application, mention specific examples where you've tackled challenges in data platforms or automation. We’re looking for candidates who can think critically and provide solutions, so let us know how you’ve done this in the past!
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’s super easy – just follow the prompts!
How to prepare for a job interview at ELLIOTT MOSS CONSULTING PTE. LTD.
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Informatica, Tableau, and automation tools like Ansible. Brush up on your Java and Python skills, as well as your understanding of RDBMS. Being able to discuss these confidently will show that you're ready for the role.
✨Showcase Your Problem-Solving Skills
Prepare examples from your past experience where you've successfully solved complex data issues or optimised platforms. Think about how you’ve collaborated with product teams or vendors to implement solutions. This will demonstrate your hands-on experience and ability to work in a team.
✨Understand the Business Needs
Familiarise yourself with the business side of data engineering. Be ready to discuss how data platforms can support BI, ingestion, and governance needs. Showing that you understand the bigger picture will impress interviewers and highlight your strategic thinking.
✨Prepare for L2/L3 Support Scenarios
Since the role involves providing L2/L3 support, think about potential scenarios you might face and how you would handle them. Be prepared to discuss your approach to troubleshooting and ensuring platform reliability, especially during weekends or off-hours.