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Endava

Senior Data & AI Consultant

Endava

Published 18 Feb 2026
Berlin, Germany
Full Time

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Role Highlights

Languages used

Python
SQL
SCALA

Key skills

Machine Learning
Data Science
Data Engineer
Data Architect
Data Governance
ML Ops
Data Lakes
Computer Science
Data Processing
Data Security
AI
Architecture
Cloud
Infrastructure
Agile
Operations
Streaming
API
Informatics

Tools, Libraries and Frameworks

AWS
Azure
GCP
Kafka
Airflow
Kinesis
OpenAI
Tensorflow
PyTorch

Description

Endava Senior Data & AI Consultant \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Senior Data & AI Consultant Full-time 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. Responsibilities: 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 Required Qualifications 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, were 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 perspectivesbecause 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. I'm interested I'm interestedPrivacy Notice I'm interested Refer a friend share this job Share on LinkedIn Share on Facebook Share on Twitter Share via email Share on Xing Share on WeChat Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. Senior Data & AI Consultant Berlin, State of Berlin, Germany Full-time I'm interested I'm interested

Required Qualifications and Skills

The role requires a solid understanding of data architectures, data warehouses, data lakes, and modern cloud technologies such as AWS, Azure, and GCP. Experience with Machine Learning Operations (MLOps), data governance, and AI-powered analytics is necessary. Knowledge of streaming and real-time data processing tools like Kafka, Airflow, or Kinesis is also required, along with proficiency in Python and SQL. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, and the OpenAI API is expected. Understanding of regulatory requirements and data security policies is also a key qualification. A degree in Computer Science, Data Science, Engineering, Business Informatics, or a related field is preferred, along with 5+ years of experience in Data Engineering, Data Science, or AI/ML consulting.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Endava

Size

10278

HQ

London, GB

Public/Private

Public Company

Description

Endava is reimagining the relationship between people and technology. We have helped some of the worlds leading Payments, Financial Services, Telecommunications, Media, Technology, Consumer Products, Retail, Mobility, and Healthcare companies accelerate their ability to take advantage of new business models and market opportunities. By ideating and delivering dynamic platforms and intelligent digital experiences, we help our clients fuel the rapid, ongoing transformation of their business. By leveraging next-generation technologies, our agile, multi-disciplinary teams provide a combination of Product & Technology Strategies, Intelligent Experiences, and World Class Engineering to help our clients become more engaging, responsive, and efficient. Endava has 11,761 people as of September 30, 2023, located in the European Union: Austria, Bulgaria, Croatia, Denmark, Germany, Ireland, Netherlands, Poland, Romania, Slovenia and Sweden; Non-European Union: Bosnia & Herzegovina, Moldova, North Macedonia, Serbia, Switzerland and the United Kingdom; North America: Canada and the United States; Latin America: Argentina, Colombia, Mexico and Uruguay; Asia Pacific: Australia, Malaysia, Singapore

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