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Senior Data Engineer - Python / Data Pipelines / Data Platform / AWS - is required by fast growing, highly successful and tech focused organisation.

About the job

You will play a crucial role in designing, building, and maintaining their data platform, with a strong emphasis on streaming data, cloud infrastructure, and machine learning operations.

Key Responsibilities:

* Architect and Implement Data Pipelines:

* Design, develop, and maintain scalable and efficient data pipelines

* Optimize ETL processes to ensure seamless data ingestion, processing, and integration across various systems

* Streaming Data Platform Development:

* Lead the development and maintenance of a real-time data streaming platform using tools like Apache Kafka, Databricks, Kinesis.

* Ensure the integration of streaming data with batch processing systems for comprehensive data management

* Cloud Infrastructure Management:

* Utilize AWS data engineering services (including S3, Redshift, Glue, Kinesis, Lambda, etc.) to build and manage our data infrastructure

* Continuously optimize the platform for performance, scalability, and cost-effectiveness

* Communications:

* Collaborate with cross-functional teams, including data scientists and BI developers, to understand data needs and deliver solutions

* Leverage the project management team to coordinate project, requirements, timelines and deliverables, allowing you to concentrate on technical excellence

* ML Ops and Advanced Data Engineering:

* Establish ML Ops practices within the data engineering framework, focusing on automation, monitoring, and optimization of machine learning pipelines

* Data Quality and Governance:

* Implement and maintain data quality frameworks, ensuring the accuracy, consistency, and reliability of data across the platform

* Drive data governance initiatives, including data cataloguing, lineage tracking, and adherence to security and compliance standards

Requirements

Experience:

* 3+ years of experience in data engineering, with a proven track record in building and maintaining data platforms, preferably on AWS

* Strong proficiency in Python, experience in SQL and PostgreSQL. PySpark, Scala or Java is a plus

* Familiarity with Databricks and the Delta Lakehouse concept

* Experience mentoring or leading junior engineers is highly desirable

Skills:

* Deep understanding of cloud-based data architectures and best practices

* Proficiency in designing, implementing, and optimizing ETL/ELT workflows

* Strong database and data lake management skills

* Familiarity with ML Ops practices and tools, with a desire to expand skills in this area

* Excellent problem-solving abilities and a collaborative mindset

Nice to Have:

* Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes)

* Knowledge of machine learning pipelines and their integration with data platforms

Great training and career development opportunities exist for the right candidate.

Basic salary £60-65,000 + excellent benefits

Office based in Northumberland. Fully remote working available