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For Companies At a Glance
- Tasks: Design and implement data flows, build environments, and enhance analytics platforms.
- Company: Join a leading international Tech company working on impactful UK Government projects.
- Benefits: Enjoy hybrid working, private healthcare, and a pension matched up to 8%.
- Why this job: Be part of a collaborative team shaping data solutions that make a difference.
- Qualifications: Experience in data engineering, ETL platforms, and cloud services (AWS/Azure) required.
- Other info: Opportunity for growth in a dynamic Agile environment.
A new role for a Senior Data Engineer has arisen with an international Tech company working on a major UK Government Programme designing and delivering a range of data solutions. This is an opportunity to play a key role in a collaborative function architecting data pipelines and infrastructure.
The Senior Data Engineer will design and implement complex data flows to connect operational systems, build and maintain data environments, evaluate and develop tools to improve data analytics platforms and recognise opportunities to reuse existing data flows between teams.
Requirements
- This role requires experience in data engineering with a proven track record in configuring and using ETL platforms as well as setting up and administering AWS or Azure Data Platforms.
- Given the collaborative nature of the environment, excellent communication skills are also required.
- Cloud experience (AWS or Azure), proficiency in PowerBI / Pentaho, Python / Java and comfort within an Agile environment will be sought.
- It would be beneficial but not essential to have knowledge of DevOps practices and CI/CD pipelines.
Hybrid Working
3 days per week on site in Telford.
Package
Up to £70,000 and Benefits which include private healthcare and pension matched up to 8%.
Apply
To apply, follow the instructions on this page or send an updated CV to Myles at Copello Global referencing the role in question.
Senior Data Engineer employer: Copello
Contact Detail:
Copello Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with the specific data engineering tools mentioned in the job description, such as ETL platforms and AWS or Azure Data Platforms. Having hands-on experience or relevant projects to discuss can really set you apart during conversations.
✨Tip Number 2
Brush up on your communication skills, as this role requires collaboration with various teams. Practising how to explain complex data concepts in simple terms can help you demonstrate your ability to work well in a team environment.
✨Tip Number 3
Showcase your experience with Agile methodologies. Be prepared to discuss how you've successfully contributed to Agile projects in the past, as this will highlight your adaptability and teamwork skills.
✨Tip Number 4
If you have any knowledge of DevOps practices or CI/CD pipelines, make sure to mention it during your discussions. Even if it's not essential, demonstrating a willingness to learn and grow in these areas can be a big plus.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Data Engineer position. Familiarise yourself with the skills needed, such as experience with ETL platforms and cloud services like AWS or Azure.
Tailor Your CV: Customise your CV to highlight relevant experience in data engineering, particularly your work with ETL platforms and cloud technologies. Emphasise your communication skills and any collaborative projects you've been involved in.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the role. Mention specific projects where you've successfully implemented data solutions and how your skills align with the company's needs.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail and professionalism, which are crucial in a technical role.
How to prepare for a job interview at Copello
✨Showcase Your Technical Skills
Be prepared to discuss your experience with ETL platforms and cloud services like AWS or Azure. Highlight specific projects where you've designed data pipelines or improved data analytics platforms, as this will demonstrate your technical expertise.
✨Communicate Clearly
Given the collaborative nature of the role, excellent communication skills are a must. Practice explaining complex technical concepts in simple terms, as you may need to interact with non-technical stakeholders during the interview.
✨Demonstrate Agile Experience
Familiarise yourself with Agile methodologies and be ready to discuss how you've applied them in previous roles. Share examples of how you've adapted to changes and collaborated with cross-functional teams to deliver successful projects.
✨Prepare for Behavioural Questions
Expect questions that assess your problem-solving abilities and teamwork. Use the STAR method (Situation, Task, Action, Result) to structure your answers, focusing on scenarios that highlight your ability to work collaboratively and overcome challenges.
