Data Engineering Analyst

JR United Kingdom; Northampton; On-site; GBP 55,000 - 75,000; Full time

Job summary

A leading company is looking for a Data Engineering Analyst to improve its data infrastructure. The role entails designing data pipelines on Google Cloud Platform, developing dashboards, and optimizing performance. Ideal candidates will have extensive experience with GCP, Power BI, and Python, and excel in a fast-paced environment.

Qualifications

• 5+ years of experience in data engineering or related fields.
• Strong skills in GCP, Power BI, and Python.
• Experience with data warehousing and ETL processes.

Responsibilities

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

Skills

Data Engineering

Data Analysis

Python

GCP (BigQuery, Cloud Storage, Cloud Dataflow)

Power BI

Data Pipeline Development

Problem Solving

Communication

Tools

Google Cloud Platform

Power BI

Python Libraries (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.