Data Engineering Analyst

JR United Kingdom; Dartford; On-site; GBP 55,000 - 75,000; Full time

Job summary

A leading company in the UK is seeking a skilled Data Engineering Analyst to join their team. You will be responsible for designing and maintaining data pipelines using GCP, developing insightful reports and dashboards with Power BI, and writing Python code for data processing. This role requires strong analytical skills and 5+ years of relevant experience, offering an exciting opportunity to contribute to data-driven business insights.

Benefits

Collaborative team environment

Professional development opportunities

Flexible working arrangements

Qualifications

• 5+ years of experience in data engineering, data analysis, or a related field.
• Strong experience with GCP, particularly BigQuery, Cloud Storage, and Cloud Dataflow.
• Proficient in Power BI for data visualization.

Responsibilities

• Design, develop, and maintain data pipelines using GCP services.
• Develop and maintain reports, dashboards, and visualizations using Power BI.
• Write efficient and scalable Python code for data processing.

Skills

Data engineering

Data analysis

Google Cloud Platform (GCP)

Power BI

Python

Data warehousing

ETL processes

Analytical skills

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.