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- Tasks: Design and maintain data pipelines, reports, and dashboards using Python and Power BI.
- Company: Join N Consulting Global, a leader in IT services and consulting.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Be part of a dynamic team driving data-driven insights and innovation.
- Qualifications: 5+ years in data engineering or analysis, strong GCP and Python skills required.
- Other info: Contract position with potential for future opportunities.
The predicted salary is between 36000 - 60000 £ per year.
We're seeking a skilled Data Engineering Analyst to join our team. You'll play a key role in designing, building, and maintaining our data infrastructure, ensuring seamless data flow and insightful analytics.
Key Responsibilities:
- Design, develop, and maintain data pipelines using Google Cloud Platform (GCP) services like BigQuery, Cloud Storage, and Cloud Dataflow.
- Develop and maintain reports, dashboards, and visualizations using Power BI, ensuring data-driven insights for business stakeholders.
- Write efficient and scalable Python code for data processing, transformation, and analysis.
- Collaborate with cross-functional teams to identify data requirements and develop data solutions.
- Troubleshoot data-related issues and optimize data systems for performance and scalability.
Requirements:
- 5+ years of experience in data engineering, data analysis, or a related field.
- Strong experience with Google Cloud Platform (GCP) services, particularly BigQuery, Cloud Storage, and Cloud Dataflow.
- Proficient in Power BI for data visualization and reporting.
- Strong programming skills in Python, with experience in data processing libraries like Pandas and NumPy.
- Experience with data pipeline development, data warehousing, and ETL processes.
- Strong analytical and problem-solving skills, with attention to detail and ability to work in a fast-paced environment.
- Excellent communication and collaboration skills.
Nice to Have:
- Experience with data governance, data quality, and data security best practices.
- Experience with Agile development methodologies and version control systems like Git.
Data Engineer/Data Analyst (Python & Power BI) employer: N Consulting Global
Contact Detail:
N Consulting Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer/Data Analyst (Python & Power BI)
✨Tip Number 1
Familiarise yourself with Google Cloud Platform (GCP) services, especially BigQuery and Cloud Dataflow. Consider taking online courses or tutorials to deepen your understanding, as practical knowledge will set you apart during discussions.
✨Tip Number 2
Showcase your Power BI skills by creating sample dashboards or reports that demonstrate your ability to turn data into insights. Having a portfolio of your work can be a great conversation starter in interviews.
✨Tip Number 3
Network with professionals in the data engineering and analytics field. Attend meetups or webinars related to GCP and data visualisation, as this can help you gain insights and potentially lead to referrals.
✨Tip Number 4
Brush up on your Python programming skills, particularly with libraries like Pandas and NumPy. Being able to discuss specific projects where you've used these tools effectively can demonstrate your hands-on experience.
We think you need these skills to ace Data Engineer/Data Analyst (Python & Power BI)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data engineering and analysis, particularly your skills in Python, Power BI, and Google Cloud Platform services. Use specific examples to demonstrate your expertise in building data pipelines and creating insightful dashboards.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analytics and engineering. Mention how your background aligns with the key responsibilities of the role, such as developing data solutions and collaborating with teams. Be sure to express your enthusiasm for working with N Consulting Global.
Highlight Relevant Projects: Include details about specific projects where you successfully implemented data solutions or optimised data systems. Discuss the tools and technologies you used, such as BigQuery or Cloud Dataflow, and the impact your work had on the organisation.
Showcase Soft Skills: In addition to technical skills, emphasise your analytical and problem-solving abilities, as well as your communication and collaboration skills. These are crucial for working effectively in cross-functional teams and addressing data-related issues.
How to prepare for a job interview at N Consulting Global
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Google Cloud Platform, especially BigQuery and Cloud Dataflow. Bring examples of projects where you've designed data pipelines or used Power BI for visualisation.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your analytical skills. Prepare to share specific instances where you've troubleshot data-related issues or optimised data systems, highlighting your attention to detail.
✨Communicate Effectively
Since collaboration is key in this role, practice articulating your thoughts clearly. Be ready to explain complex technical concepts in a way that non-technical stakeholders can understand.
✨Familiarise Yourself with Agile Methodologies
If you have experience with Agile development, be sure to mention it. Understanding Agile principles can set you apart, so consider discussing how you've applied these methodologies in past projects.
