Data Engineer/Data Analyst (Python & Power BI)

N Consulting Global; Leeds; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading company in IT services is seeking a Data Engineering Analyst to build and maintain their data infrastructure. The ideal candidate will have extensive experience with Google Cloud Platform services and be skilled in Python and Power BI to ensure efficient data flow and insights. This contract position offers the opportunity to work alongside cross-functional teams and tackle complex data challenges.

Qualifications

• 5+ years of experience in data engineering or analysis.
• Strong background in Google Cloud Platform services.
• Proficiency in Power BI for data reporting.

Responsibilities

• Design and maintain data pipelines using GCP.
• Develop reports and dashboards for stakeholders.
• Collaborate with teams to fulfill data requirements.

Skills

Data pipeline development

Data analysis

Programming in Python

Data visualization with Power BI

Cloud computing (GCP)

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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