Data Engineering Analyst

JR United Kingdom; Cambridge; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading company in the UK is seeking a skilled Data Engineering Analyst to enhance its data infrastructure. You will design and maintain data pipelines, develop reports and dashboards, and write Python code for data processing, collaborating with teams to meet data needs.

Qualifications

• 5+ years of experience in data engineering or analysis.
• Strong experience with GCP services, especially BigQuery.
• Proficient in Power BI for reporting.

Responsibilities

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

Skills

Data Engineering

Data Analysis

Python

Data Visualization

Problem Solving

Communication

Tools

Google Cloud Platform (GCP)

Power BI

Pandas

NumPy

Git

Job description

Social network you want to login/join with:

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.