At a Glance
- Tasks: Design and maintain scalable data pipelines on AWS for real-time processing.
- Company: Join a world-leading organisation that values innovation and support.
- Benefits: Competitive daily rate, flexible remote work, and professional development opportunities.
- Other info: Inclusive environment welcoming diverse applicants and offering career growth.
- Why this job: Make a real impact on exciting projects while working with cutting-edge technology.
- Qualifications: Experience with PySpark, SQL, and AWS services is essential.
The predicted salary is between 40000 - 45000 € per year.
AWS Data Engineer 6 Month contract initially. Based: MAX 2 days per week onsite in London / Edinburgh (most convenient for you). Rate - £400 - £450 p/d via Umbrella.
We have a great opportunity with a world leading organisation where you will be provided with all of the support and development to succeed. A progressive organisation where you can really make a difference. We have a great opportunity for an AWS Data Engineer on a long term program of work.
Key Responsibilities- Design, develop, and maintain scalable data pipelines on AWS using Glue, EMR, S3, and Athena for batch and real-time processing.
- Build and optimize ETL workflows using PySpark and SQL, ensuring high data quality, reliability, and performance.
- Orchestrate and schedule data pipelines using Apache Airflow, enabling seamless data movement across systems.
- Collaborate with business analysts and stakeholders to translate data requirements into technical solutions and deliver actionable insights.
- Implement data governance, security, and best practices while working within cloud-native architectures on AWS.
- Strong experience with PySpark, distributed data processing, and large-scale ETL/ELT pipelines.
- Advanced proficiency in Python for data engineering, automation.
- Hands on expertise with AWS services (S3, Glue, Lambda, EMR, Bedrock / custom model hosting).
- Hands‑on experience in SQL and ETL.
- PySpark, Python, SQL, AWS
This is an excellent opportunity on a great project of work. If you are looking for your next exciting opportunity, apply now for your CV to reach me directly, we will respond as soon as possible.
We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience.
Please Note: If a high volume of applications is received, only candidates shortlisted will be contacted.
AWS Data Engineer employer: LA International
Join a world-leading organisation that prioritises employee development and support, offering a flexible work environment with only two days required onsite in London or Edinburgh. With a progressive culture that values innovation and collaboration, this role as an AWS Data Engineer provides the opportunity to make a significant impact while working on long-term projects that enhance your skills and career growth.
StudySmarter Expert Advice🤫
We think this is how you could land AWS Data Engineer
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the AWS space. You never know when a casual chat could lead to your next big opportunity.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of projects that highlight your experience with PySpark, SQL, and AWS services. This will give you an edge and demonstrate your hands-on expertise.
✨Ace the Interview
Prepare for those technical interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Remember, they want to see how you think and approach problems!
✨Apply Through Us!
Make sure to apply through our website for the best chance at landing that AWS Data Engineer role. We’re here to support you every step of the way, so don’t hesitate to reach out if you need any help during the application process!
We think you need these skills to ace AWS Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AWS services, PySpark, and SQL. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects:If you've worked on any data pipelines or ETL processes, make sure to mention them. We’re keen to see real examples of your work, especially those that demonstrate your problem-solving skills and creativity.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at LA International
✨Know Your AWS Inside Out
Make sure you brush up on your knowledge of AWS services like Glue, EMR, and S3. 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 ETL Skills
Prepare to talk about your experience with ETL workflows, especially using PySpark and SQL. Have specific examples ready that demonstrate your ability to build and optimise data pipelines, ensuring high data quality and performance.
✨Collaboration is Key
Since you'll be working with business analysts and stakeholders, think of examples where you've successfully translated data requirements into technical solutions. Highlight your communication skills and how you ensure everyone is on the same page.
✨Emphasise Data Governance and Security
Be prepared to discuss best practices for data governance and security within cloud-native architectures. This shows that you not only understand the technical side but also the importance of maintaining data integrity and compliance.
