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For Companies At a Glance
- Tasks: Build and optimise data pipelines for advanced analytics.
- Company: Join INOVERSE GROUPE, a reputable consultancy in data infrastructure.
- Benefits: Enjoy hybrid work with competitive pay of £550-£600 per day.
- Why this job: Be part of a dynamic team shaping modern data platforms.
- Qualifications: Experience with Snowflake, AWS, Python, Airflow, and Iceberg required.
- Other info: This is a 6-month contract role based in London.
The predicted salary is between 36000 - 60000 £ per year.
Overview
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.
Responsibilities
- Build and optimise data pipelines
- Support modern data platform architecture
- Enable advanced analytics and reporting capabilities
Qualifications
- 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
How to apply: If this could be of interest, please get in touch with Alex Lang at iO Associates to apply and for more information.
Right to work: On this occasion, we can only accept applications from UK-based candidates with right to work in the UK.
Details
- Seniority level – Entry level
- Employment type – Contract
- Job function – Information Technology
- Industries – Data Infrastructure and Analytics
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Snowflake Data Engineer - AWS, Airflow & Iceberg employer: INOVERSE GROUPE
Contact Detail:
INOVERSE GROUPE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Data Engineer - AWS, Airflow & Iceberg
✨Tip Number 1
Familiarise yourself with Snowflake and AWS by exploring their documentation and tutorials. This will not only boost your confidence but also help you speak knowledgeably about these technologies during any discussions.
✨Tip Number 2
Join relevant online communities or forums focused on data engineering, Snowflake, and AWS. Engaging with professionals in these spaces can provide insights into industry trends and may even lead to networking opportunities.
✨Tip Number 3
Consider working on personal projects that involve building data pipelines using Airflow and Iceberg. Having hands-on experience will make you stand out and give you practical examples to discuss in interviews.
✨Tip Number 4
Prepare for potential technical interviews by practising common data engineering problems and scenarios. Being well-prepared will help you demonstrate your problem-solving skills effectively.
We think you need these skills to ace Snowflake Data Engineer - AWS, Airflow & Iceberg
Some tips for your application 🫡
Highlight Relevant Skills: Make sure to emphasise your experience with Snowflake, AWS, Python, Airflow, and Apache Iceberg in your CV and cover letter. Use specific examples of projects or tasks where you applied these skills.
Tailor Your CV: Customise your CV to align with the job description. Focus on your data engineering experience and any relevant projects that demonstrate your ability to build and optimise data pipelines.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for the role. Mention why you are interested in working with INOVERSE GROUPE and how you can contribute to their data team.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at INOVERSE GROUPE
✨Showcase Your Snowflake Expertise
Make sure to highlight your experience with Snowflake data warehousing during the interview. Be prepared to discuss specific projects where you've implemented Snowflake solutions and how they benefited the organisation.
✨Demonstrate AWS Knowledge
Since this role requires solid AWS cloud engineering experience, brush up on your AWS skills. Be ready to explain how you've used AWS services in past projects, particularly in relation to data engineering.
✨Prepare for Python Questions
As proficiency in Python is essential for this position, expect technical questions related to data engineering workflows. Practice coding challenges or scenarios that involve data manipulation and pipeline creation using Python.
✨Familiarise Yourself with Airflow and Iceberg
Given the importance of Airflow DAGs and Apache Iceberg in this role, review your knowledge of these tools. Be prepared to discuss how you've built and maintained Airflow workflows and your understanding of Iceberg's role in data lake optimisation.
