Data Engineer

JR United Kingdom; Chester; Remote; GBP 50,000 - 70,000; Full time

Job summary

A leading data solutions company in Chester is seeking a Data Engineer to design and implement data pipelines while ensuring data integrity and accessibility. The ideal candidate should have proficiency in PySpark and AWS, experience with ETL pipeline development, and knowledge of data governance. This role offers a chance to work with innovative data solutions in a dynamic environment.

Responsibilities

• Design and implement robust data pipelines.
• Ensure data integrity, reliability, and accessibility.
• Develop and debug ETL pipelines.
• Leverage AWS for cloud-based solutions.
• Deploy resources using Terraform.
• Set up CI/CD workflows using GitHub Actions.

Skills

Proficiency in PySpark

AWS

ETL Pipeline Development

Programming Expertise in Python and SQL

Knowledge of Spark and Airflow

Cloud-Native Services

AWS Services (S3, RDS, Redshift, Lambda)

Terraform for Deployment

CI/CD Workflows

Job description

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London Remote

**About the Role**

The Data Engineer will play a pivotal role in organization by designing and implementing robust data pipelines that facilitate efficient data flow and management across various platforms. This position is essential for ensuring the integrity, reliability, and accessibility of our data, which supports critical business decisions and drives insights.

**Required Skills**

- **Proficiency in PySpark and AWS:** You should have a strong command of both PySpark for data processing and AWS (Amazon Web Services) for cloud-based solutions.

- **ETL Pipeline Development:** Demonstrated experience in designing, implementing, and debugging ETL (Extract, Transform, Load) pipelines is crucial. You will be responsible for moving and transforming data from various sources to data warehouses.

- **Programming Expertise:** A solid understanding of Python, PySpark, and SQL is required to manipulate and analyze data efficiently.

- **Knowledge of Spark and Airflow:** In-depth knowledge of Apache Spark for big data processing and Apache Airflow for orchestrating complex workflows is essential for managing data pipelines.

- **Cloud-Native Services:** Experience in designing data pipelines leveraging cloud-native services on AWS to ensure scalability and reliability in data handling.

- **AWS Services:** Extensive knowledge of various AWS services, such as S3, RDS, Redshift, and Lambda, will be necessary for building and managing our data infrastructure.

- **Terraform for Deployment:** Proficient in deploying AWS resources using Terraform, ensuring that infrastructure as code is implemented effectively.

- **CI/CD Workflows:** Hands-on experience in setting up Continuous Integration and Continuous Deployment (CI/CD) workflows using GitHub Actions to automate the deployment process and enhance collaboration within the team.

**Preferred Skills**

- **Experience with Other Cloud Platforms:** Familiarity with additional cloud platforms, such as Google Cloud Platform (GCP) or Microsoft Azure, will be advantageous and broaden your impact within our data architecture.

- **Data Governance and Compliance:** Understanding of data governance frameworks and compliance standards will be beneficial as we prioritize data privacy and regulatory requirements.

We are looking for a proactive and detail-oriented Data Engineer who is passionate about working with data and driving innovation . If you have a strong technical background and a commitment to excellence, we would love to hear from you!