Data Engineer - Automotive Research

Job Description

Data Engineer to be a key player in building a robust data infrastructure and flows that supports our advanced forecasting models. Your initial focus will be to create a robust data factory to ensure smooth collection and refresh of actual data, a critical component that feeds our forecast. Additionally, you will be assisting in developing mathematical models and supporting the work of ML engineers and data scientists. Your work will significantly impact our ability to deliver timely and insightful forecasts to our clients. Whats in it for you: Opportunity to build foundational data infrastructure that directly impacts advanced forecasting models and client delivery. Gain exposure to and support the development of sophisticated mathematical models, Machine Learning, and Data Science applications. Contribute significantly to delivering timely and insightful forecasts, influencing client decisions in the automotive sector. Work in a collaborative environment that fosters continuous learning, mentorship, and professional growth in data engineering and related analytical fields. Responsibilities: Data Pipeline Development: Design, build, and maintain scalable and reliable data pipelines for efficient data ingestion, processing, and storage, primarily focusing on creating a data factory for our core forecasting data. Data Quality and Integrity: Implement robust data quality checks and validation processes to ensure the accuracy and consistency of data used in our forecasting models. Mathematical Model Support: Collaborate with other data engineers to develop and refine mathematical logics and models that underpin our forecasting methodologies. ML and Data Science Support : Provide data support to our Machine Learning Engineers and Data Scientists. Collaboration and Communication: Work closely with analysts, developers, and other stakeholders to understand data requirements and deliver effective solutions. Innovation and Improvement: Continuously explore and evaluate new technologies and methodologies to enhance our data infrastructure and forecasting capabilities. What Were Looking For: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Minimum of 3 years of experience in data engineering, with a proven track record of building and maintaining data pipelines. Strong proficiency in SQL and experience with relational and non-relational databases. Strong Python programming skills, with experience in data manipulation and processing libraries (e.g., Pandas, NumPy). Experience with mathematical modelling and supporting ML and data science teams. Experience with cloud platforms (e.g., AWS, Azure, GCP) and cloud-based data services. Strong communication and collaboration skills, with the ability to work effectively in a team environment. Experience in the automotive sector is a plus.