Senior Data Engineer (AWS, DBT, ETL) at Praesignis

Job Description

• We are seeking an experienced Senior Data Engineer to design, build and maintain scalable data pipelines and cloud-based data solutions. The successful candidate will play a key role in developing robust ETL processes, optimising data workflows and enabling data-driven decision-making across the organisation.

Key Responsibilities

• Design, develop and maintain scalable data pipelines and ETL processes.
• Build and manage cloud-based data solutions within AWS environments.
• Develop and optimise data integration workflows using AWS services and orchestration tools.
• Ensure data quality, reliability, security and governance across data platforms.
• Collaborate with data analysts, data scientists, architects and business stakeholders to understand data requirements.
• Monitor, troubleshoot and optimise data pipelines for performance and scalability.
• Implement best practices for data engineering, automation and DevOps processes.
• Support data warehousing and analytics initiatives.

Preferred Experience

• 5+ years of Data Engineering experience.
• Experience working in cloud-native AWS environments.
• Proven track record of delivering enterprise-scale data integration and ETL solutions.

Required Skills & Experience

• Proven experience as a Data Engineer or Senior Data Engineer.
• Strong hands-on experience with AWS cloud services.
• Experience developing and managing ETL/ELT pipelines.
• Strong experience with AWS Glue.
• Experience with Apache Airflow for workflow orchestration and scheduling.
• Proficiency in SQL and data modelling concepts.
• Experience working with large-scale datasets and distributed data processing frameworks.
• Strong understanding of data architecture and data integration principles.
• Experience with version control and CI/CD practices.

Advantageous Skills

• Experience with dbt (Data Build Tool).
• Experience with modern data warehouse technologies.
• Exposure to data lake architectures.
• Knowledge of Python or other programming languages is used in data engineering.
• Experience with Agile development methodologies.

Qualifications

• Bachelor's Degree in Computer Science, Information Systems, Engineering, or a related field.
• Relevant AWS certifications would be advantageous.

Key Competencies

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Ability to work independently and within cross-functional teams.
• Strong attention to detail and commitment to delivering high-quality solutions.
• Ability to manage multiple priorities in a fast-paced environment.