Data Engineering Analyst

JR United Kingdom; Norwich; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading company in data solutions is looking for a skilled Data Engineering Analyst. The successful candidate will design and maintain data pipelines on Google Cloud Platform, ensuring insightful analytics and effective reporting. Candidates should have strong experience with GCP services and be proficient in Python, with excellent problem-solving skills.

Qualifications

• 5+ years of experience in data engineering or data analysis.
• Strong experience with GCP services like BigQuery.
• Proficient in Python with 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 needs.

Skills

Data analysis

Data engineering

Data visualization

Python

Problem solving

Tools

Google Cloud Platform

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.