Data Engineering Analyst

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

Job summary

A leading company in the UK is seeking a skilled Data Engineering Analyst to enhance their data infrastructure. In this role, you'll design and maintain data pipelines, develop insightful reports and dashboards, and collaborate with teams to drive analytics. Candidates should have strong experience with Google Cloud Platform and Python, alongside excellent problem-solving skills. Join a fast-paced environment where your contributions will directly impact business outcomes.

Qualifications

• 5+ years of experience in data engineering or related field.
• Strong experience with GCP services, especially BigQuery.
• Proficiency in Python, including libraries like Pandas and NumPy.

Responsibilities

• Design and maintain data pipelines using Google Cloud Platform services.
• Develop reports and dashboards using Power BI for business insights.
• Troubleshoot data issues and optimize data systems for performance.

Skills

Data Engineering

Data Analysis

Google Cloud Platform

Python

Power BI

Data Processing

ETL Processes

Analytical Skills

Problem Solving

Communication

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.