Data Engineering Analyst

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

Job summary

A leading company is looking for a Data Engineering Analyst to join their team in Preston. You will design and maintain data infrastructure, ensuring seamless data flow and insightful analytics by using tools like Google Cloud Platform and Power BI. This role requires strong experience in data engineering and analysis, particularly in Python programming and cloud services.

Qualifications

• 5+ years experience in data engineering or related field.
• Strong experience with GCP and data visualization using Power BI.
• Proficient in Python with data processing libraries.

Responsibilities

• Design and maintain data pipelines using GCP services.
• Develop reports and dashboards in Power BI.
• Collaborate with teams to identify data requirements.

Skills

Data Engineering

Data Analysis

Python

Google Cloud Platform (GCP)

Power BI

Data Pipeline Development

ETL Processes

Analytical Skills

Problem-solving Skills

Collaboration

Tools

BigQuery

Cloud Storage

Cloud Dataflow

Pandas

NumPy

Git

Job description

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Data Engineering Analyst, preston, lancashire

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Client:

N Consulting Global

Location:

preston, lancashire, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

3

Posted:

06.06.2025

Expiry Date:

21.07.2025

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Job Description:

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.