Machine Learning Engineer

Holisticon Insight (former Nexer Insight) is a division of focused on IoT, AI, and advanced analytics. We assist our customers in developing IoT services, portals, and mobile apps and, above all, analyze data using AI and advanced analytics to reduce costs, streamline, and find new opportunities for the business. Remote (Poland or EU) | B2B: 165–185 PLN/h net + VAT # ;  The project: We’re looking for a Senior Data Engineer to join a team supporting our client — a leading player in the automotive industry, currently driving alarge-scale initiative to build a unified data platform that will shape how connected vehicle data is used across Europe. The goal is to create a modern, scalable platform (built on Databricks on AWS) that consolidates client's vehicle data from multiple sources into one ecosystem, enabling analytics, AI/ML innovation, and data-driven decision-making. You’ll be part of an international team working with data mesh and lakehouse principles, helping design, develop, and maintain a platform that ensures data quality, security, and interoperability — while unlocking new business value for the client’s connected vehicle services. #In the role of Data Engineer you will: Design, build, and maintain robust data ingestion pipelines from multiple vehicle data sources. Develop and optimize data transformation workflows and orchestration logic using modern data tools. Design and implement complex ETL/ELT processes, ensuring high data quality and performance. Ensure data integrity, consistency, and accuracy across all stages of the data lifecycle. Collaborate with business and IT teams to define and deliver data requirements and specifications. Prepare and maintain detailed documentation of data sources, ingestion logic, and transformation processes. Regularly monitor and report on data quality and platform performance. Mentor and support other team members, contributing to best practices and a data-driven culture. ✅5+ years of hands-on experience in data engineering using Python and SQL. ~ Strong experience working with AWS and data warehousing services (e.g. Expertise in ETL/ELT and data orchestration frameworks (e.g. PySpark, Airflow, AWS Glue). ~ Experience with real-time or stream processing (e.g. Kafka, Flink, or Spark Structured Streaming). ~ Solid understanding of data lake and data warehouse architecture and best practices. ~ Skilled in Git and familiar with CI/CD pipelines for data projects. ~ Strong background in data analysis and familiarity with tools like Power BI. ~ Proven ability to gather, document, and translate business requirements into technical solutions. ~ Collaborative mindset, attention to detail, and a passion for building scalable, high-quality data systems. ✨ Multisport card Fully remote job Private medical care Flexible working hours B2B contract Training budget Work equipment (laptop, 2 monitors, and accessories) #Our recruitment process consists of the following steps : Initial interview with Paulina, our recruiter - 30 minutes Technical interview with one of our technical interviewers - 45 minutes