Company Description
Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
From prototype to real-world impact - be part of a global shift by doing work that matters.
Job Description

JOB SUMMARY:

The Senior Data & AI Consultant is responsible for the structured identification and analysis of customer requirements in the field of Data, AI & ML. They support the Commercial Team by developing solution proposals that are both technologically sound and business-comprehensible. Additionally, they act as a Trusted Advisor for customers, particularly in the media sector.

TECHNICAL SKILLS:

• Solid understanding of data architectures, data warehouses, data lakes, and modern cloud technologies (AWS, Azure, GCP).
• Experience with Machine Learning Operations (MLOps), data governance, and AI-powered analytics.
• Knowledge of streaming and real-time data processing (Kafka, Airflow, Kinesis, etc.).
• Programming languages: Python, SQL (Spark or Scala is a plus).
• Experience with AI frameworks and libraries (TensorFlow, PyTorch, OpenAI API, etc.).
• Understanding of regulatory requirements and data security policies.

SOFT SKILLS & BUSINESS ACUMEN:

• German (Native), English (C1+)
• Analytical Thinking: Ability to break down complex problems into components and derive structured solutions.
• Communication: Ability to explain technical concepts in a simple and convincing way, even to non-technical stakeholders.
• Structured Work Approach: Experience in methodical requirement analysis and solution development.
• Persuasiveness: Ability to advise customers and enable well-informed decisions.
• Collaboration: Close interaction with internal teams to ensure a seamless transition from presales to delivery.
• Industry Knowledge: Experience in the media sector or the ability to quickly adapt to media-related challenges.
  Additional Information

Preferred Experience & Education:

• Degree in Computer Science, Data Science, Engineering, Business Informatics, or a related field.
• 5+ years of experience in Data Engineering, Data Science, or AI/ML consulting.
• Experience in consulting and presales, ideally with direct customer interaction.
• Industry knowledge in media companies or other data-driven industries is a plus.

At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know

Requirements Analysis & Presales:

• Participate in initial customer meetings to identify requirements and business objectives.
• Structurally analyze customer briefings to extract key challenges and identify missing information.
• Develop a rebriefing to align the enhanced understanding with the customer

Implementation Experience & Media Industry Focus:

• Experience in executing Data, AI, and ML projects, preferably in agile teams.
• Ability to quickly grasp challenges in the media industry and develop industry-specific solutions

Requirements Analysis & Presales:

• Participate in initial customer meetings to identify requirements and business objectives.
• Structurally analyze customer briefings to extract key challenges and identify missing information.
• Develop a rebriefing to align the enhanced understanding with the customer.

Solution Development & Architecture:

• Develop solution approaches for Data, AI & ML projects, considering cloud technologies (AWS, Azure, GCP).
• Define the necessary infrastructure, data architecture, and machine learning pipelines.
• Create a technical solution proposal, including team composition and estimated implementation timeline.

Customer-Centric Communication & Proposal Support:

• Support the Commercial Team in preparing proposals, including the technical rationale.
• Present solutions in a clear and understandable manner for different stakeholders (both technical & business).
• Clarify technical and commercial questions throughout the proposal process.

Implementation Experience & Media Industry Focus:

• Experience in executing Data, AI, and ML projects, preferably in agile teams.
• Ability to quickly grasp challenges in the media industry and develop industry-specific solutions.

Qualifications