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For Companies At a Glance
- Tasks: Join a dynamic team to build and optimise data pipelines for advanced analytics.
- Company: Work with a highly reputable consultancy known for its innovative data solutions.
- Benefits: Enjoy a hybrid work model, competitive day rates, and the chance to enhance your skills.
- Why this job: Be part of a cutting-edge project that impacts data architecture and analytics.
- Qualifications: Strong experience in Snowflake, AWS, Python, Airflow, and Apache Iceberg required.
- Other info: This is a 6-month contract role based in London, UK applicants only.
Job Description
2 x Contract Data Engineers – Snowflake / AWS / Python / Airflow / Iceberg
Location: London (Hybrid – 3 days per week onsite)
Duration: 6 months
Day Rate: £550 – £600 (Inside IR35)
A highly reputable consultancy is seeking 2 x Contract Data Engineers to join their data team on a 6-month engagement.
You will play a key role in building and optimising data pipelines, supporting modern data platform architecture, and enabling advanced analytics and reporting capabilities.
Key Skills & Experience:
-
Strong experience with Snowflake data warehousing
-
Solid AWS cloud engineering experience
-
Proficient in Python for data engineering workflows
-
Skilled in building and maintaining Airflow DAGs
-
Familiarity with Apache Iceberg for table format and data lake optimisation
If this could be of interest, please get in touch with Alex Lang at iO Associates to apply and for more information.
On this occasion, we can only accept applications from UK-based candidates with right to work in the UK.
Snowflake Data Engineer - AWS, Airflow & Iceberg employer: iO Associates - UK/EU
Contact Detail:
iO Associates - UK/EU Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Data Engineer - AWS, Airflow & Iceberg
✨Tip Number 1
Make sure to showcase your hands-on experience with Snowflake and AWS in your conversations. Be prepared to discuss specific projects where you've implemented these technologies, as practical examples can really set you apart.
✨Tip Number 2
Brush up on your Python skills, especially in the context of data engineering workflows. You might be asked to solve problems or discuss how you've used Python to automate tasks or improve data processing.
✨Tip Number 3
Familiarise yourself with Airflow and its DAGs. Be ready to explain how you've built and maintained workflows using Airflow, as this is a crucial part of the role and will demonstrate your technical expertise.
✨Tip Number 4
Understand the principles of Apache Iceberg and how it optimises data lakes. Being able to discuss its benefits and your experience with it will show that you're not just familiar with the tools, but also understand their impact on data architecture.
We think you need these skills to ace Snowflake Data Engineer - AWS, Airflow & Iceberg
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake, AWS, Python, Airflow, and Apache Iceberg. Use specific examples of projects where you've successfully built and optimised data pipelines.
Craft a Compelling Cover Letter: Write a cover letter that explains why you're interested in this role and how your skills align with the job requirements. Mention your familiarity with modern data platform architecture and advanced analytics.
Highlight Relevant Projects: In your application, include details about relevant projects you've worked on, particularly those involving data engineering workflows and cloud engineering. This will demonstrate your hands-on experience.
Check for Compliance: Ensure you meet the eligibility criteria, especially being UK-based with the right to work in the UK. Clearly state this in your application to avoid any issues during the review process.
How to prepare for a job interview at iO Associates - UK/EU
✨Showcase Your Technical Skills
Make sure to highlight your experience with Snowflake, AWS, Python, Airflow, and Apache Iceberg during the interview. Prepare specific examples of projects where you successfully built or optimised data pipelines, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Data Needs
Research the consultancy's current data architecture and analytics capabilities. Being able to discuss how your skills can directly address their needs will show that you're not just a fit for the role, but also genuinely interested in contributing to their success.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Practice articulating your thought process when faced with challenges related to data engineering workflows, such as optimising performance or troubleshooting issues in Airflow DAGs.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project goals, and the technologies they use. This not only shows your enthusiasm for the role but also helps you gauge if the company culture aligns with your values and work style.
