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- Tasks: Join us as a Data Engineer, working with Python and Azure to design ETL/ELT pipelines.
- Company: Be part of a fantastic global organisation based in Cambridgeshire.
- Benefits: Enjoy remote work flexibility with just one day on-site per week and a competitive salary plus bonus.
- Why this job: This role offers a chance to work with cutting-edge technology and make a real impact.
- Qualifications: Experience with Python, Azure Data Factory, Power BI, and data modelling is essential.
- Other info: Immediate hiring for passionate candidates looking to grow in a dynamic environment.
The predicted salary is between 44000 - 52000 £ per year.
Exalto Consulting are currently recruiting for a permanent data engineer for a fantastic global organisation, their office is based in Cambridgeshire and you would be required to go to site x1 day a week the rest remote working, this is paying £55-65K basic salary depending on experience with a 10% bonus.
Essential skills and experience for the role:
- Python
- Azure Data Factory
- Power BI
- Snowflake, dbt
- Experience designing ETL/ELT pipelines and integrating data from cloud and on-premise sources.
- API integrations
- Familiarity with data modelling best practices (star/snowflake schema) and version-controlled development (e.g., Git)
If you have the above experience and are looking for a new permanent role please send your CV for immediate consideration as our client are looking to hire ASAP.
Data Engineer - Cambridgeshire x1 day a week - £55-65K + 10% bonus employer: Exalto Consulting
Contact Detail:
Exalto Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Cambridgeshire x1 day a week - £55-65K + 10% bonus
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Azure Data Factory and Power BI. Having hands-on experience or projects showcasing these tools can significantly boost your chances.
✨Tip Number 2
Network with current employees or professionals in similar roles on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare for technical interviews by practising common data engineering problems, especially those related to ETL/ELT processes. Being able to demonstrate your problem-solving skills in real-time can set you apart from other candidates.
✨Tip Number 4
Showcase your understanding of data modelling best practices during interviews. Discussing concepts like star and snowflake schemas can highlight your expertise and alignment with the company's needs.
We think you need these skills to ace Data Engineer - Cambridgeshire x1 day a week - £55-65K + 10% bonus
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Azure Data Factory, Power BI, and ETL/ELT pipelines. Use specific examples to demonstrate your skills in these areas.
Craft a Compelling Cover Letter: Write a cover letter that explains why you're interested in the Data Engineer position. Mention your familiarity with data modelling best practices and any relevant projects you've worked on.
Showcase Relevant Projects: If you have experience with API integrations or version-controlled development (like Git), include these in your application. Briefly describe the projects and your role in them.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a data engineering role.
How to prepare for a job interview at Exalto Consulting
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, Azure Data Factory, and Power BI during the interview. Be prepared to discuss specific projects where you designed ETL/ELT pipelines and how you integrated data from various sources.
✨Demonstrate Problem-Solving Abilities
Employers love candidates who can think on their feet. Prepare for scenario-based questions where you might need to explain how you would tackle common data engineering challenges, such as API integrations or data modelling best practices.
✨Familiarise Yourself with the Company
Research the global organisation you're interviewing with. Understand their products, services, and culture. This will not only help you tailor your answers but also show your genuine interest in the role and the company.
✨Ask Insightful Questions
Prepare a few thoughtful questions to ask at the end of the interview. Inquire about the team structure, the tools they use, or how they measure success in the role. This demonstrates your enthusiasm and helps you assess if the company is the right fit for you.
