At a Glance
- Tasks: Design and optimise scalable data solutions in AWS, driving real-time insights.
- Company: Leading organisation with a focus on data and analytics.
- Benefits: Up to £400 per day, hybrid work, and potential for contract extension.
- Other info: Collaborative Agile environment with opportunities for professional growth.
- Why this job: Join high-impact projects and make strategic business decisions with data.
- Qualifications: Experience with AWS data services and strong Python programming skills.
A leading organisation is seeking an experienced AWS Data Engineer to join their data and analytics team, contributing to the design, development and optimisation of large-scale data solutions within a modern cloud environment. This contract offers the opportunity to work on high-impact projects, delivering data platforms and pipelines that drive real-time insights and strategic business decisions.
Responsibilities for the AWS Data Engineer:
- Design, build and maintain scalable data pipelines and architectures within the AWS ecosystem
- Leverage services such as AWS Glue, Lambda, Redshift, EMR and S3 to support data ingestion, transformation and storage
- Work closely with data analysts, architects and business stakeholders to translate requirements into robust technical solutions
- Implement and optimise ETL/ELT processes, ensuring data integrity, consistency and quality across multiple sources
- Apply best practices in data modelling, version control, and CI/CD to deliver maintainable and reusable code
- Monitor data performance and reliability, proactively identifying opportunities to enhance efficiency and scalability
- Support the integration of data from diverse systems, including APIs and third-party platforms, into a unified architecture
- Ensure compliance with data governance, privacy and security policies throughout all stages of development
- Collaborate in an Agile environment, contributing to sprint planning, peer reviews and continuous improvement initiatives
Essential Skills for the AWS Data Engineer:
- Extensive hands-on experience with AWS data services
- Strong programming skills in Python (including libraries such as PySpark or Pandas)
- Solid understanding of data modelling, warehousing and architecture design within cloud environments
- Experience building and managing ETL/ELT workflows and data pipelines at scale
- Proficiency with SQL and working knowledge of relational and non-relational databases
- Experience deploying data infrastructure using IaC tools such as Terraform or CloudFormation
- Understanding of DevOps and CI/CD pipelines for data engineering solutions
- Strong problem-solving skills, with an ability to work both independently and collaboratively within multi-disciplinary teams
Desirable Skills for the AWS Data Engineer:
- Experience with Databricks, Kafka, or Kinesis for real-time data streaming
- Knowledge of containerisation (Docker, ECS) and modern orchestration tools such as Airflow
- Familiarity with machine learning model deployment pipelines or data lakehouse architectures
AWS Data Engineer - 6 Months + Ext - £400day Outside IR35 employer: Involved Solutions
Join a leading organisation as an AWS Data Engineer and immerse yourself in a dynamic work culture that prioritises innovation and collaboration. With a hybrid working model based in Central London, you will have the flexibility to balance your professional and personal life while contributing to impactful data projects. The company offers excellent growth opportunities, competitive rates, and a commitment to employee development, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land AWS Data Engineer - 6 Months + Ext - £400day Outside IR35
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the AWS data space. You never know who might have a lead on your next big opportunity.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share specific examples of projects you've worked on, especially those involving AWS services like Glue or Redshift. Let them see how you can add value to their team.
✨Tailor Your Approach
Before any interview, do your homework! Understand the company’s data challenges and think about how your skills can help solve them. This shows you're not just another candidate; you're genuinely interested in making an impact.
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings. Applying through us gives you a better chance to stand out, and we’re here to support you every step of the way in landing that AWS Data Engineer role!
We think you need these skills to ace AWS Data Engineer - 6 Months + Ext - £400day Outside IR35
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AWS Data Engineer role. Highlight your experience with AWS services and data pipelines, and don’t forget to mention any relevant projects you've worked on that align with the job description.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention specific skills like your programming expertise in Python and your experience with ETL processes to grab our attention.
Showcase Your Projects:If you’ve worked on any significant data projects, make sure to include them in your application. We love seeing real-world examples of how you've designed and optimised data solutions, especially within the AWS ecosystem.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Involved Solutions
✨Know Your AWS Services
Make sure you brush up on your knowledge of AWS services like Glue, Lambda, and Redshift. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of the AWS ecosystem.
✨Showcase Your Coding Skills
Since strong programming skills in Python are essential, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges that involve libraries like PySpark or Pandas to ensure you're sharp.
✨Understand Data Pipelines Inside Out
Be prepared to talk about your experience with ETL/ELT processes and data pipelines. Think of specific examples where you’ve built or optimised these workflows, and be ready to explain the impact they had on data integrity and performance.
✨Emphasise Collaboration and Agile Experience
Since the role involves working closely with data analysts and stakeholders, highlight your experience in Agile environments. Share examples of how you've contributed to sprint planning or peer reviews, showcasing your ability to work well in a team.
