SC Cleared AWS Data Engineer

Job Title: Data Engineer - SC cleared
Location: Remote
Salary/Rate: £380-£400 a day
Start Date: April
Job Type: Conract - 12 months

We are looking for a Data Engineer to join agrowing data team and help build scalable, high-performance data pipelines in a modern cloud environment. You will play a key role in designing and delivering robust data solutions that support analytics, reporting, and business decision-making.

This is an excellent opportunity for someone who enjoys working with large datasets, distributed processing frameworks, and cloud-native data platforms.

Key Responsibilities

• Develop, maintain, and optimize ETL pipelines using AWS Glue (experience with Informatica is beneficial).

• Build and manage cloud-based data pipelines using AWS services such as EMR, S3, Lambda, and Glue.

• Implement scalable data processing workflows using Databricks, PySpark, Python, and SQL.

• Design and support data ingestion, transformation, and integration across structured and unstructured data sources.

• Collaborate with data architects, analysts, and business stakeholders to gather requirements and deliver reliable data solutions.

• Monitor pipeline performance, troubleshoot issues, and ensure data quality and reliability.

• Contribute to data engineering best practices, including version control, CI/CD pipelines, and automation.

Required Skills & Experience

• Strong hands-on experience with ETL development and orchestration in AWS environments.

• Solid AWS cloud experience, particularly with core data services.

• Expertise in building distributed data pipelines using EMR, PySpark, or similar technologies.

• Strong experience processing and transforming large-scale datasets.

• Proficiency in PySpark, Python, and SQL for data engineering and automation.

• Good understanding of data modelling, data warehousing concepts, and performance optimization.

• Familiarity with CI/CD and DevOps tools such as GitHub or GitLab.

• Exposure to data governance, metadata management, and data quality frameworks.

• Experience working in Agile environments is an advantage.

What We're Looking For

• A proactive problem solver with strong analytical thinking.

• Someone who enjoys working in a collaborative and fast-paced data environment.

• Passion for building efficient, scalable, and reliable data systems.

Disclaimer
Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies.
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