At a Glance
- Tasks: Design and maintain data pipelines, reports, and dashboards using GCP and Power BI.
- Company: Join a dynamic team focused on innovative data solutions in Leeds/Edinburgh.
- Benefits: Enjoy hybrid work options and the chance to work with cutting-edge technology.
- Other info: Experience with Agile methodologies and Git is a plus.
- Why this job: Be part of a collaborative culture that values data-driven insights and problem-solving.
- Qualifications: 5+ years in data engineering, strong GCP and Python skills required.
The predicted salary is between 36000 - 60000 £ per year.
Role: Data Engineering Analyst (Python & Power BI)
Location: Leeds/Edinburgh (Hybrid)
Duration: Contract
About Us: 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.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Analyst in Leeds
✨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
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 will highlight your hands-on experience.
✨Tip Number 4
Network with professionals in the data engineering field, especially those who have experience with GCP and Power BI. Engaging in relevant online communities or attending meetups can provide valuable insights and potential referrals.
We think you need these skills to ace Data Engineering Analyst in Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in data engineering, particularly with Google Cloud Platform services and Python. Use specific examples to demonstrate your skills in building data pipelines and using Power BI.
Craft a Compelling Cover Letter:Write a cover letter that showcases your passion for data engineering and your understanding of the role. Mention your experience with GCP, Python, and Power BI, and explain how you can contribute to the company's data infrastructure.
Showcase Relevant Projects:If you have worked on projects involving data pipelines, ETL processes, or data visualisation, include these in your application. Briefly describe your role and the technologies used, especially focusing on GCP and Python.
Highlight Soft Skills:In addition to technical skills, emphasise your communication and collaboration abilities. Mention any experience working in cross-functional teams or Agile environments, as these are valuable in this role.
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, as this will demonstrate your hands-on expertise.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your analytical skills. Prepare to discuss specific challenges you've faced in data engineering and how you resolved them. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Highlight Collaboration Experience
Since the role involves working with cross-functional teams, be ready to share examples of how you've successfully collaborated with others. Discuss any Agile methodologies you've used and how they improved project outcomes.
✨Prepare Questions for the Interviewers
Have insightful questions ready about the company's data strategy, team dynamics, or future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
