Senior Data Engineer - AWS, Data Lake & Pipelines
Senior Data Engineer - AWS, Data Lake & Pipelines

Senior Data Engineer - AWS, Data Lake & Pipelines

Full-Time 48000 - 72000 £ / year (est.) No home office possible
P

At a Glance

  • Tasks: Enhance data pipelines and manage large data sets using AWS and big data frameworks.
  • Company: Global technology consultancy focused on innovation and sustainability.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Why this job: Join a dynamic team and make a real impact with your data engineering skills.
  • Qualifications: 7+ years in data engineering with strong Python, SQL, and AWS expertise.
  • Other info: Collaborative environment with a commitment to technology and sustainability.

The predicted salary is between 48000 - 72000 £ per year.

A global technology consultancy is looking for a Senior Data Engineer to enhance data pipelines and manage large data sets. The ideal candidate has extensive experience in data engineering and big data frameworks, with a strong proficiency in Python, SQL, and AWS tools. You will collaborate closely with interdisciplinary teams to deliver impactful data solutions. This role requires a minimum of 7 years in the field and offers a dynamic environment committed to technology and sustainability.

Senior Data Engineer - AWS, Data Lake & Pipelines employer: PALO IT SINGAPORE PTE. LTD.

Join a global technology consultancy that prioritises innovation and sustainability, offering a vibrant work culture where collaboration thrives. As a Senior Data Engineer, you will benefit from extensive professional development opportunities, competitive remuneration, and the chance to work on cutting-edge projects that make a real impact. Located in a dynamic environment, this role not only enhances your technical skills but also allows you to contribute to meaningful data solutions.
P

Contact Detail:

PALO IT SINGAPORE PTE. LTD. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer - AWS, Data Lake & Pipelines

✨Tip Number 1

Network like a pro! Reach out to your connections in the tech world, especially those in data engineering. A friendly chat can lead to opportunities that aren’t even advertised yet.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS, Python, and SQL. 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 big data frameworks and data pipeline strategies. We recommend practising common interview questions and scenarios related to data engineering to boost your confidence.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Senior Data Engineer - AWS, Data Lake & Pipelines

Data Engineering
Big Data Frameworks
Python
SQL
AWS Tools
Data Pipelines
Collaboration
Interdisciplinary Teamwork
Data Management
Impactful Data Solutions
Technology Commitment
Sustainability Focus

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with data engineering, big data frameworks, and the specific tools mentioned in the job description. We want to see how your skills align with what we're looking for!

Showcase Your Projects: Include examples of past projects where you've enhanced data pipelines or managed large data sets. This gives us a clear picture of your hands-on experience and problem-solving abilities.

Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our mission. A personal touch goes a long way in making your application stand out!

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!

How to prepare for a job interview at PALO IT SINGAPORE PTE. LTD.

✨Know Your Tech Inside Out

Make sure you brush up on your Python, SQL, and AWS skills. Be ready to discuss specific projects where you've used these technologies, and think about how you can explain complex concepts in a simple way. This will show your depth of knowledge and ability to communicate effectively.

✨Showcase Your Data Pipeline Experience

Prepare examples of how you've enhanced data pipelines in previous roles. Discuss the challenges you faced, the solutions you implemented, and the impact of your work. This will demonstrate your hands-on experience and problem-solving skills, which are crucial for this role.

✨Collaboration is Key

Since you'll be working with interdisciplinary teams, be ready to talk about your collaboration experiences. Share stories that highlight your ability to work with different stakeholders, how you handle conflicts, and how you ensure everyone is on the same page. This will show that you're not just a tech whiz but also a team player.

✨Align with Their Values

Research the company's commitment to technology and sustainability. Think about how your values align with theirs and be prepared to discuss this in the interview. Showing that you care about their mission can set you apart from other candidates and demonstrate your long-term interest in the role.

Senior Data Engineer - AWS, Data Lake & Pipelines
PALO IT SINGAPORE PTE. LTD.

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

P
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>