Data Engineering Analyst

JR United Kingdom; Stockport; On-site; GBP 60,000 - 85,000; Full time

Job summary

A leading company in the UK seeks a Data Engineering Analyst to enhance their data infrastructure. In this role, you will design and maintain data pipelines, develop robust visualizations, and collaborate with stakeholders to ensure data-driven decision-making. Ideal candidates should have extensive experience with Google Cloud Platform and proficiency in Python.

Qualifications

• 5+ years of experience in data engineering or a related field.
• Strong experience with Google Cloud Platform, especially BigQuery.
• Proficient in Power BI for data visualization.

Responsibilities

• Design, develop, and maintain data pipelines using GCP services.
• Develop reports and dashboards for business stakeholders.
• Collaborate with teams to identify data requirements.

Skills

Python

Data Analysis

Data Engineering

Data Warehousing

ETL Processes

Cloud Dataflow

Google Cloud Platform

Power BI

Tools

Google Cloud Platform

Power BI

Pandas

NumPy

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.