Data Engineering Analyst

JR United Kingdom; Gloucester; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading company in the UK is seeking a skilled Data Engineering Analyst to join their team. In this role, you'll design and maintain data infrastructures, develop reports and visualizations, and collaborate with teams to provide data-driven insights. Candidates should have a strong background in Google Cloud Platform and Python, essential for optimizing data systems and enhancing analytics.

Qualifications

• 5+ years of experience in data engineering or analysis.
• Strong experience with GCP, particularly BigQuery and Cloud Storage.
• Proficient in Power BI and Python with data processing skills.

Responsibilities

• Design and maintain data pipelines using GCP services.
• Develop reports and visualizations with Power BI.
• Write efficient Python code for data analysis.

Skills

Data engineering

Data analysis

Python

GCP

Data visualization

Job description

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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, 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.