Senior Data Consultant (m/f/*)

Ultra Tendency; Germany (OH); On-site; USD 82,217 - 105,708; Full time

Benefits offered by this job

Flexible work options

Paid learning resources

Annual performance reviews

Local and global team events

Job summary

Ultra Tendency is seeking a Senior Data Consultant to join our team in Germany. This role requires a strong background in data consulting and expertise in Databricks along with proficiency in Apache Spark and cloud data platforms. As a consultant, you will advise clients on implementing scalable data architectures and ensure alignment with their business objectives. The position offers flexible work options and opportunities for career advancement in a collaborative environment.

Qualifications

• Proven experience in data consulting or architecture with Databricks.
• Hands-on expertise in Spark (PySpark/Scala) and data modeling.
• Professional proficiency in German and English.

Responsibilities

• Advise clients on scalable data architectures with Databricks.
• Translate business requirements into data strategies and roadmaps.
• Collaborate with stakeholders to align data initiatives with business goals.

Skills

Data consulting

Databricks

Apache Spark

Python

CI/CD pipelines

Communication skills

Stakeholder management

Tools

Azure

AWS

GCP

Terraform

Job description

Overview

Our Data & Engineering community is growing, and we’re now looking for a Senior Data Consultant (m/f/*) to join our team in Germany, supporting our global growth. As a Senior Data Consultant, you will combine deep hands-on experience in modern data platforms — particularly Databricks — with a strategic, client-oriented mindset. You’ll advise organizations on how to design, implement, and scale data-driven architectures, while guiding them through every stage of their digital transformation journey.

What we offer

• Flexible work options, including fully remote or hybrid arrangements (candidates must be located in Germany)
• The chance to accelerate your career and work with outstanding colleagues in a collaborative, global learning community across three continents
• Opportunities to shape cutting-edge data projects and see your ideas implemented in real-world solutions
• Balance your work and personal life: choose to work from home, in the office, or in a hybrid setup
• Annual performance reviews and continuous feedback focused on collaboration and growth, not hierarchy
• A personalized development plan and professional advancement opportunities
• Access to learning resources — paid certifications, unlimited Udemy Business, and more
• Local, virtual, and global team events to connect with colleagues worldwide

What you’ll do

• Advise clients on the design and implementation of scalable data architectures using Databricks Lakehouse Platform, with a strong focus on Apache Spark, Delta Lake, and Unity Catalog
• Translate complex business requirements into data strategies, architecture blueprints, and technical roadmaps
• Design, implement, and optimize data pipelines for analytics, machine learning, and business intelligence workloads
• Collaborate with stakeholders — from executives to technical teams — to align data initiatives with business goals
• Ensure data quality, governance, and security best practices within Databricks and related ecosystems
• Support pre-sales and discovery activities by identifying client needs and defining technical approaches
• Mentor junior consultants and contribute to the growth of our Databricks and data consulting expertise
• Stay current with emerging technologies and trends in cloud data platforms and AI-driven analytics

What you’ll bring

• Proven experience in data consulting or architecture, with hands-on expertise in Databricks on Azure, AWS, or GCP
• Deep knowledge of Spark (PySpark/Scala), Delta Lake, and MLflow
• Strong programming skills in Python or Scala, and experience with CI/CD pipelines (GitHub Actions, Azure DevOps, etc.)
• Solid understanding of data modeling, distributed computing, and performance optimization in cloud environments
• Experience advising or working directly with enterprise clients on data modernization or cloud migration projects
• Familiarity with orchestration tools (e.g., Databricks Workflows, Airflow) and infrastructure-as-code (e.g., Terraform)
• Excellent communication and stakeholder management skills, with the ability to translate technical solutions into business value
• Professional proficiency in German and English (C1 level, written and spoken)