Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design data models and build scalable ETL pipelines to drive data integration.
- Company: Join a forward-thinking team in London focused on innovation and real-world problem-solving.
- Benefits: Enjoy flexible work arrangements with 2-3 days in the office and competitive daily rates.
- Why this job: Transform raw data into business value while collaborating with top-tier professionals in tech.
- Qualifications: 2+ years in data engineering, a relevant degree, and proficiency in Python and SQL required.
- Other info: Opportunity to work with cutting-edge technologies and explore new tools in a dynamic environment.
The predicted salary is between 54000 - 72000 £ per year.
Location: London (2-3 days in office)
Experience: 2+ Years
Degree: STEM/Business
Rate: £225 to 245 a day Umbrella
Duration: 6 months contract
We’re looking for a Data Engineer to help power our innovation engine. You’ll design data models, build scalable ETL pipelines, codify business logic, and drive data integration across complex systems—structured and unstructured alike. This is your chance to turn raw data into real business value using cutting-edge tech in a collaborative, forward-thinking team.
What You’ll Do:
- Design & implement data models and scalable ETL/ELT pipelines
- Map data sources, codify business logic, and build data flows
- Develop data quality solutions & explore new technologies
- Collaborate with analysts, developers, and business stakeholders
What You Bring:
- 2+ years in data engineering or related roles
- Bachelor’s in CS, Engineering, Mathematics, Finance, etc.
- Proficiency in Python, SQL, and one or more: R, Java, Scala
- Experience with relational/NoSQL databases (e.g., PostgreSQL, MongoDB)
- Familiarity with big data tools (Hadoop, Spark, Kafka), cloud platforms (Azure, AWS, GCP), and workflow tools (Airflow, Luigi)
- Bonus: experience with BI tools, API integrations, and graph databases
Why Join Us?
- Work with large-scale, high-impact data
- Solve real-world problems with a top-tier team
- Flexible, fast-paced, and tech-forward environment
Apply now and help us build smarter, data-driven solutions.
AWS Data Engineer employer: Randstad Digital
Contact Detail:
Randstad Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data Engineer
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as AWS, Python, SQL, and big data tools like Spark and Kafka. Having hands-on experience or projects showcasing these skills can set you apart from other candidates.
✨Tip Number 2
Network with current or former employees of StudySmarter on platforms like LinkedIn. Engaging with them can provide insights into the company culture and the team dynamics, which can be beneficial during interviews.
✨Tip Number 3
Prepare to discuss your previous projects in detail, especially those involving data modelling and ETL pipelines. Be ready to explain your thought process, challenges faced, and how you overcame them, as this demonstrates your problem-solving abilities.
✨Tip Number 4
Stay updated on the latest trends in data engineering and cloud technologies. Being knowledgeable about emerging tools and practices can show your passion for the field and your commitment to continuous learning, which is highly valued at StudySmarter.
We think you need these skills to ace AWS Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with AWS, Python, and SQL. Use specific examples of projects where you've designed data models or built ETL pipelines.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with the job description, especially your experience with big data tools and cloud platforms.
Showcase Technical Skills: Clearly list your technical skills related to the job, such as proficiency in Python, SQL, and familiarity with tools like Hadoop and Spark. Consider including a section on relevant certifications or courses you've completed.
Highlight Collaborative Experience: Since the role involves collaboration with analysts and developers, include examples of past teamwork experiences. Describe how you contributed to projects and the impact of your collaboration on outcomes.
How to prepare for a job interview at Randstad Digital
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python, SQL, and any other relevant programming languages. Bring examples of past projects where you designed data models or built ETL pipelines to demonstrate your hands-on experience.
✨Understand the Company’s Data Needs
Research the company’s current data challenges and think about how your skills can address them. Be ready to discuss how you would approach their specific data integration and quality issues.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical data engineering problems. Practice articulating your thought process clearly, as this will showcase your analytical skills and ability to work under pressure.
✨Emphasise Collaboration
Since the role involves working with analysts, developers, and business stakeholders, highlight your teamwork experiences. Share examples of how you’ve successfully collaborated on projects to achieve common goals.
