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For Companies At a Glance
- Tasks: Manage data processing, conduct quality checks, and collaborate with stakeholders.
- Company: Dynamic consulting firm based in Penarth with a focus on data solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a team where your data skills can shine and make a real difference.
- Qualifications: 2+ years in data analysis, strong SQL and Python skills required.
- Other info: Exciting projects and a supportive environment for career advancement.
The predicted salary is between 28800 - 48000 £ per year.
A consulting firm based in Penarth is looking for a Data Analyst with at least 2 years of experience in data analysis or operations support. The successful candidate will be responsible for managing data processing, conducting quality checks, and collaborating with internal stakeholders.
Strong proficiency in SQL and Python is essential, alongside experience with enterprise databases like MS SQL and Snowflake. Good communication skills are required for managing user queries effectively.
Data Operations Engineer: SQL, ETL & Quality in Penarth employer: ELLIOTT MOSS CONSULTING PTE. LTD.
Contact Detail:
ELLIOTT MOSS CONSULTING PTE. LTD. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Operations Engineer: SQL, ETL & Quality in Penarth
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at consulting firms. A friendly chat can open doors and give you insights that job postings just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL queries, ETL processes, and any data quality checks you've implemented. This will help us see your practical experience in action.
✨Tip Number 3
Prepare for the interview by brushing up on your communication skills. Practice explaining complex data concepts in simple terms, as you'll need to manage user queries effectively.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Data Operations Engineer: SQL, ETL & Quality in Penarth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis and operations support. We want to see how your skills in SQL and Python shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Data Operations Engineer role. Share specific examples of how you've managed data processing and conducted quality checks in previous roles.
Show Off Your Communication Skills: Since good communication is key for this role, make sure to demonstrate your ability to manage user queries effectively in your application. We love seeing candidates who can bridge the gap between technical and non-technical stakeholders!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at ELLIOTT MOSS CONSULTING PTE. LTD.
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to answer questions about complex queries, joins, and data manipulation. Practising with real-world scenarios can help you demonstrate your proficiency effectively.
✨Showcase Your ETL Experience
Since the role involves managing data processing, be ready to discuss your experience with ETL processes. Prepare examples of how you've extracted, transformed, and loaded data in previous roles, and highlight any tools you've used.
✨Communicate Clearly
Good communication skills are a must for this position. Practice explaining technical concepts in simple terms, as you'll need to manage user queries. Consider doing mock interviews with a friend to refine your ability to convey information clearly.
✨Familiarise Yourself with Snowflake
If you have experience with Snowflake, make sure to mention it during the interview. If not, take some time to learn the basics and understand its features. Showing that you're proactive about learning new technologies can really impress the interviewers.
