Data Engineering Analyst

ZipRecruiter; Leeds; Hybrid; GBP 45,000 - 70,000; Full time

Job summary

A leading company in the tech industry seeks a Data Engineering Analyst to enhance its data infrastructure. The ideal candidate will utilize their expertise in Python and Power BI, handle data pipelines on Google Cloud Platform, and work collaboratively with cross-functional teams to drive data-driven insights. This hybrid role is pivotal in ensuring efficient data processing and insightful analytics.

Qualifications

• 5+ years of experience in data engineering or a related field.
• Strong experience with GCP services, particularly BigQuery, Cloud Storage.
• Proficient in Power BI and programming in Python, with data processing libraries.

Responsibilities

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

Skills

Data Engineering

Data Analysis

Python

Power BI

ETL processes

Data warehousing

Google Cloud Platform

Problem-solving

Communication

Collaboration

Job description

Job Description

Role: Data Engineering Analyst(Python & Power BI)

Location: Leeds/Edinburgh(Hybrid)

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.