Senior Data Engineer - Databricks (m/f/*)

Job summary

Ult*** is a global Data & AI consultancy with teams across Europe, Asia, and the Americas. As we continue to expand our presence across Europe, we are looking for a Senior Data Engineer – Databricks to join our growing team and contribute to the development of scalable data platforms for international clients.

Benefits

Qualifications

• into reliable, production-ready solutions.
• Improve the performance, scalability, and cost efficiency of data processing workloads within Databricks environments.
• Support the implementation of best practices for data quality, governance, security, and compliance.
• Contribute to architectural discussions and help shape modern data platform strategies for clients.
• Mentor and support junior engineers while fostering knowledge sharing across the team.
• YOUR EXPERIENCE
• Strong hands-on experience with Databricks and Apache Spark (PySpark, SQL, and/or Scala).
• Experience building and operating cloud-based data platforms on AWS, Azure, or GCP.
• Solid understanding of distributed data processing, data modeling, data warehousing, and performance optimization.
• Experience with CI/CD practices and version control systems such as Git.
• Familiarity with orchestration frameworks such as Airflow, Azure Data Factory, or Databricks Workflows.
• Experience working in agile and cross-functional environments.

Responsibilities

• In this role, you will work closely with data engineers, data scientists, architects, and business stakeholders to design and implement robust data solutions using modern cloud and data
• Design, implement, and maintain scalable data pipelines on the Databricks Lakehouse Platform using

Skills

Degrees

Languages

Industry

Company size

Relocation