Data Engineering Analyst

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

Job summary

A leading company in the data field is seeking a skilled Data Engineering Analyst to enhance their data infrastructure. This role focuses on developing and maintaining data pipelines using Google Cloud Platform and creating insightful visualizations in Power BI. The ideal candidate will have over 5 years of experience in data engineering or analysis, strong Python skills, and the ability to work collaboratively within a fast-paced environment.

Qualifications

• 5+ years of experience in data engineering or analysis.
• Proficient in Google Cloud Platform services and Power BI.
• Strong programming skills in Python with data processing libraries.

Responsibilities

• Design and develop data pipelines using GCP services.
• Maintain reports and visualizations in Power BI.
• Collaborate with teams to address data requirements.

Skills

Data Engineering

Data Analysis

Google Cloud Platform

Power BI

Python

ETL Processes

Analytical Skills

Communication

Tools

Google Cloud BigQuery

Cloud Storage

Cloud Dataflow

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.