Data Engineering Analyst

JR United Kingdom; Chesterfield; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading company in Chesterfield is looking for a skilled Data Engineering Analyst to enhance their data infrastructure. The role involves designing and maintaining data pipelines with Google Cloud Platform, developing insightful reports using Power BI, and writing efficient Python code for data processing. Ideal candidates will have over 5 years of experience and strong analytical skills in a fast-paced environment.

Qualifications

• 5+ years experience in data engineering or analysis.
• Strong experience with GCP, especially BigQuery.
• Proficient in Python and Power BI for data processing.

Responsibilities

• Design and maintain data pipelines using GCP services.
• Develop reports and dashboards for business insights.
• Troubleshoot and optimize data systems performance.

Skills

Data Engineering

Data Analysis

Python

Problem Solving

Communication

Collaboration

Tools

Google Cloud Platform

BigQuery

Cloud Storage

Cloud Dataflow

Power BI

Pandas

NumPy

Git

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.