Data Engineering Analyst

JR United Kingdom; Stoke-on-Trent; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading company seeks a talented Data Engineering Analyst in Stoke-on-Trent. The successful candidate will design and maintain data infrastructures, work with Google Cloud Platform services, and ensure data-driven insights through Power BI. Ideal for those with strong analytical skills and proficiency in Python.

Qualifications

• 5+ years of experience in data engineering or data analysis.
• Strong experience with GCP services, particularly BigQuery and Cloud Storage.
• Proficient in Power BI and Python; experience with data libraries like Pandas and NumPy.

Responsibilities

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

Skills

Data engineering

Data analysis

Google Cloud Platform

Python

Power BI

ETL processes

Analytical skills

Problem-solving skills

Collaboration

Job description

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Data Engineering Analyst, stoke-on-trent

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Client:

N Consulting Global

Location:

stoke-on-trent, 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.