Job Title: Data Engineer Company Overview: My client is an innovative and fast-growing organisation seeking a talented and passionate Data Engineer to join their cutting-edge team. With a strong commitment to transforming industries through advanced data-driven solutions, this company is at the forefront of harnessing technology to drive meaningful impact. Position Overview: As a Data Engineer, you will play a pivotal role in building and optimising scalable data architectures and infrastructure. Collaborating with cross-functional teams, youll design, implement, and enhance robust data pipelines, ensuring seamless and efficient data flow to support business-critical platforms. This is an excellent opportunity to be part of a data revolution within a dynamic and fast-paced environment. Key Responsibilities: Data Integration: Partner with development teams to integrate advanced data solutions across various platforms. Design and implement data storage and retrieval systems to support analytics and user insights. Data Pipeline Development: Build and maintain scalable, efficient data pipelines for processing and analysing large datasets. Implement ETL processes to extract, transform, and load data from diverse sources, ensuring data accuracy and consistency. AWS Expertise: Leverage AWS services to create and optimise scalable data solutions. Utilise AWS tools such as S3, Lambda, Glue, and Redshift to enhance the performance and reliability of data infrastructure. Python Development: Develop Python-based scripts and tools for data manipulation, automation, and workflow optimisation. Maintain and enhance Python utilities that support the organisations data engineering needs. Performance Optimisation: Continuously monitor and optimise data pipelines to ensure minimal latency and efficient data flow. Implement best practices for data storage, indexing, and retrieval to meet evolving business needs. Qualifications: Bachelors degree in Computer Science, Data Science, or a related field. Proven experience as a Data Engineer in a data-intensive environment. Strong proficiency in Python programming. Extensive experience with AWS services (e.g., S3, EC2, Lambda, Glue, Redshift). In-depth understanding of data modelling, ETL processes, and data warehousing concepts. Excellent problem-solving skills and the ability to thrive in a fast-paced, collaborative environment. Why Join This Business? Innovation: Work with a team shaping the future of their industry through data and technology. Collaborative Culture: Be part of a diverse, creative, and supportive team that values open communication and continuous learning. Career Growth: Enjoy abundant opportunities for professional development and career advancement in a rapidly growing organisation. Competitive Compensation: Receive a market-leading salary, benefits, and perks that reflect your contributions. If you are passionate about Data Engineering and looking to make a meaningful impact, connect with Ryan Quinn on LinkedIn or apply via the link below. Skills: Database Data Engineering Business Intelligence Benefits: Bonus Company Shares Laptop