Cloud Data Engineer

Icloudxcel; Bracknell; Hybrid; GBP 40,000 - 80,000; Full time

Job summary

An innovative firm is looking for a talented Cloud Data Engineer with a strong background in Python and cloud technologies. This role involves designing and optimizing cloud-based data pipelines, collaborating with cross-functional teams, and implementing robust data solutions. Join a dynamic team dedicated to leveraging cutting-edge technologies to drive transformation and empower businesses. With a focus on professional growth and flexible work arrangements, this is an exciting opportunity to contribute to meaningful projects that make a real impact in the world of data engineering.

Benefits

Flexible work arrangements

Professional growth opportunities

Collaborative team environment

Competitive compensation and benefits package

Qualifications

• Strong proficiency in Python for data engineering tasks.
• Experience with cloud platforms like AWS, Azure, or GCP.

Responsibilities

• Design and maintain scalable cloud-based data pipelines.
• Collaborate with teams to support data modeling and analytics.

Skills

Python

Data Engineering

ETL processes

Problem-solving

SQL

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Data Engineering

Tools

AWS

Azure

Google Cloud Platform (GCP)

Terraform

Docker

Kubernetes

Job description

CloudXcel is a technology-driven company dedicated to providing innovative cloud solutions to businesses worldwide. Our mission is to empower organizations to harness the full potential of their data in the cloud, unlocking insights and driving transformation. With a commitment to cutting-edge technologies and a dynamic, inclusive work environment, we foster growth, creativity, and innovation.

Overview:

CloudXcel is seeking a talented and highly motivated Cloud Data Engineer with expertise in Python to join our team. In this role, you will work closely with cross-functional teams to design, develop, and optimize cloud-based data pipelines and infrastructure. The ideal candidate is passionate about data engineering, proficient in Python, and eager to solve complex challenges in a fast-paced, collaborative environment.

Key Responsibilities:

1. Design, develop, and maintain scalable cloud-based data pipelines to collect, process, and analyze large datasets.
2. Build and optimize ETL workflows to ensure efficient data integration and processing.
3. Collaborate with data scientists, analysts, and engineers to support data modeling, analytics, and reporting needs.
4. Leverage Python to implement robust data solutions, including automation and optimization tasks.
5. Develop and maintain cloud data infrastructure using platforms like AWS, Azure, or Google Cloud Platform (GCP).
6. Ensure data quality, security, and compliance with industry best practices and standards.
7. Monitor and troubleshoot data pipelines to ensure reliability and performance.
8. Stay updated on the latest advancements in cloud data engineering and recommend new tools or technologies as needed.

Requirements:

1. Strong proficiency in Python for data engineering tasks.
2. Experience with cloud platforms (e.g., AWS, Azure, or GCP), including services like S3, Lambda, BigQuery, or Databricks.
3. Solid understanding of ETL processes, data modeling, and data warehousing.
4. Familiarity with SQL and relational databases.
5. Knowledge of big data technologies, such as Spark, Hadoop, or Kafka, is a plus.
6. Strong problem-solving skills and the ability to work in a collaborative team environment.
7. Excellent verbal and written communication skills.
8. Bachelor’s degree in Computer Science, Data Engineering, or a related field, or equivalent professional experience.

Preferred Qualifications:

1. Hands-on experience with IaC (Infrastructure as Code) tools like Terraform or CloudFormation.
2. Familiarity with API integration and RESTful services.
3. Knowledge of containerization and orchestration tools like Docker and Kubernetes.
4. Experience in CI/CD pipelines for data engineering workflows.
5. Understanding of data security principles and compliance standards (e.g., GDPR, HIPAA).

Benefits:

1. Work on cutting-edge projects that solve real-world challenges.
2. Collaborate with a talented and dynamic team of professionals.
3. Opportunities for professional growth and continuous learning.
4. Flexible work arrangements, including hybrid or remote options (depending on company policy).
5. Competitive compensation and benefits package.

How to Apply

If you are passionate about leveraging cloud technologies and Python to build transformative data solutions, we’d love to hear from you!

To apply, please submit:

1. Your resume
2. Links to any projects, GitHub repositories, or portfolios that showcase your skills

At CloudXcel, we don’t just work with data—we empower it to drive innovation and success. Join us in shaping the future of cloud data engineering!