Data Engineering Analyst

JR United Kingdom; Lincoln; On-site; GBP 45,000 - 65,000; Full time

Job summary

A dynamic data-driven company in Lincoln is seeking a skilled Data Engineering Analyst to enhance their data infrastructure. The role involves designing and maintaining data pipelines on Google Cloud Platform, ensuring seamless data flow while providing insightful analytics through Power BI. Ideal candidates will have over 5 years of relevant experience and robust Python programming skills, contributing to data solutions that support business stakeholders.

Qualifications

• 5+ years of experience in data engineering or related field.
• Strong programming skills in Python with experience in Pandas and NumPy.
• Experience with data pipeline development and ETL processes.

Responsibilities

• Design, develop, and maintain data pipelines using GCP services.
• Develop and maintain reports and dashboards using Power BI.
• Troubleshoot data-related issues and optimize data systems.

Skills

Data Engineering

Data Analysis

Google Cloud Platform

BigQuery

Cloud Storage

Cloud Dataflow

Power BI

Python

Data Processing

Analytical Skills

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.