Data Engineering Analyst

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

Job summary

Une entreprise dynamique au Royaume-Uni recherche un Data Engineering Analyst pour renforcer son équipe. Dans ce rôle, vous concevrez et maintiendrez des pipelines de données en utilisant des services de Google Cloud Platform tout en développant des rapports et des visualisations via Power BI. Vous apporterez votre expertise pour assurer un flux de données fluide et des analyses perspicaces, contribuant directement aux décisions commerciales. Le candidat idéal aura une solide expérience en ingénierie des données et des compétences exceptionnelles en Python et en collaboration.

Qualifications

• 5+ ans d'expérience en ingénierie ou analyse de données.
• Maîtrise des services GCP, BigQuery, Cloud Storage.
• Compétent en Python, avec des bibliothèques comme Pandas et NumPy.

Responsibilities

• Concevoir et maintenir des pipelines de données sur GCP.
• Développer des rapports et tableaux de bord avec Power BI.
• Collaborer pour identifier les besoins en données et optimiser les systèmes.

Skills

Data Engineering

Data Analysis

Data Visualization

Python

Problem Solving

Communication

Tools

Google Cloud Platform (GCP)

Power BI

ETL processes

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.