3 months ago
Remote, EMEA or Budapest, HungarySenior
Responsibilities
- Provide post-sales technical leadership for strategic customers designing and implementing big data projects.
- Guide architectural design, data engineering, model deployment, and technical roadmap alignment with Databricks.
- Identify and drive initiatives that help customers turn data into actionable business value.
- Architect production-level workloads and perform performance testing and optimization of end-to-end pipeline loads.
- Deliver customer tutorials, training sessions, hackathons, and conference presentations.
- Maintain technical growth through mentorship, ongoing learning, and internal training programs.
Requirements
- Hands-on technical expertise with Apache Spark and experience using Databricks across several large-scale projects.
- Databricks Certified Data Engineer Professional certification.
- Proven experience designing and implementing big data technologies, including Hadoop, NoSQL, MPP, OLTP, and OLAP.
- More than five years of experience as a Software Engineer or Data Engineer, including query tuning, performance tuning, troubleshooting, and debugging Spark or other big data solutions.
- Proficiency in Python, Scala, or Java.
- Experience designing and using solutions on cloud infrastructure and services such as AWS, Azure, or GCP.
- Familiarity with development tools for testing, automation, orchestration, REST APIs, BI tools, and SQL interfaces, including Jenkins.
- Strong communication and presentation skills with strategic stakeholders and leadership.
- Experience in customer-facing pre-sales, post-sales, technical architecture guidance, or consulting roles.
- Desired experience in data science or ML engineering, including model selection, model lifecycle, hyper-parameter tuning, model serving, deep learning, and MLflow.
Benefits
- Remote work arrangement with rare exceptions agreed in advance and significant time-zone overlap with clients required.
- Flexible ways of working and a healthy work/life balance.
- Mentoring from the first day and continuous career support.
- Learning and development opportunities, internal training, and technical growth support.
- Diverse projects and a supportive corporate culture focused on collaboration and mutual respect.
Tech Stack
Categories
Solutions Engineering
About Hiflylabs
Hiflylabs provides data engineering, analytics, AI/ML, and mobile application development for enterprises, delivering data warehouses, BI platforms, and cloud solutions. The privately held firm, founded in 2015 and headquartered in Budapest, operates as a consulting and implementation partner across AWS, Azure, Snowflake, and Databricks, where it holds partner status and MVP credentials. It serves customers in finance, telecom, energy, and other sectors in Europe and North America.