Data Engineering Analyst

JR United Kingdom; Wakefield; On-site; GBP 50,000 - 75,000; Full time

Job summary

A leading company is seeking a skilled Data Engineering Analyst to ensure robust data infrastructure. You'll design and maintain data pipelines on Google Cloud, deliver insights through Power BI, and write scalable Python code to optimize data processes. This role requires strong analytical skills and a commitment to collaboration in a fast-paced environment.

Qualifications

• 5+ years of experience in data engineering or analysis.
• Strong experience with Google Cloud Platform (GCP), especially BigQuery.
• Proficient in Python, particularly with data libraries like Pandas and NumPy.

Responsibilities

• Design, develop, and maintain data pipelines using GCP services.
• Develop reports, dashboards, and visualizations with Power BI.
• Collaborate with teams to develop data solutions and troubleshoot issues.

Skills

Data processing

Analysis

Programming in Python

Data visualization with Power BI

Problem-solving

Collaboration

Tools

Google Cloud Platform (GCP)

BigQuery

Cloud Storage

Cloud Dataflow

Pandas

NumPy

Power BI

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.