Data Engineering Analyst

JR United Kingdom; Kingston upon Hull; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading company in the data analytics sector is seeking a Data Engineering Analyst to enhance their data infrastructure. The role involves developing data solutions, maintaining pipelines, and ensuring data quality. Ideal candidates will have a robust background in Google Cloud services and strong Python skills, contributing to impactful data visualizations and insights. Join a dynamic team dedicated to delivering data-driven results.

Qualifications

• 5+ years of experience in data engineering or data analysis required.
• Strong experience with GCP services including BigQuery.
• Proficient in Python for data processing and transformation.

Responsibilities

• Design and develop data pipelines using GCP services.
• Maintain reports and dashboards with Power BI.
• Collaborate with teams to meet data requirements.

Skills

Data engineering

Data analysis

Python

Data visualization

Problem-solving

Collaboration

Tools

Google Cloud Platform (GCP)

BigQuery

Cloud Storage

Cloud Dataflow

Power BI

Pandas

NumPy

Git

Job description

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Data Engineering Analyst, kingston upon hull, east yorkshire

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Client:

N Consulting Global

Location:

kingston upon hull, east yorkshire, 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.