Teamlead Data Architecture & Data Engineering (all genders)

Das ist der Job

At Diconium we do digital business transformation across various industries.

Darum lohnt es sich

Join our global team of experts. As a team member you will work on projects that generate value from software, data and AI by delivering strategies and solutions that challenge conventional industry practices and drive technological progress. Teamlead – Data Architecture & Data Engineering (all genders).

What you can expect Functional and disciplinary leadership of an international, multifunctional team (Data Architecture & Data Engineering) with 8 direct reports and 35+ project members across Germany, Portugal, Romania and India. Translating modern AI/data capabilities into scalable, client‑relevant solutions.

Building and scaling distributed teams and leadership structures. Tech environment (current state) includes multi‑cloud (Azure, AWS), modern data stacks and group‑wide AI initiatives within the VW Group; platform services in transition from project‑based to product/service‑oriented delivery.

What you bring Must‑have skills 5+ years of leadership experience in a senior leadership role (Director / Head of) with disciplinary responsibility for distributed teams. Experience with modern AI capabilities (LLMs, RAG, agentic architectures, MLOps). Experience in platform modernization and consolidation programmes.

Experience steering nearshore/offshore teams (Portugal, Romania, India). Comprehensive Benefits: Public transport tickets, job bikes, access to exclusive Volkswagen employee conditions when leasing or purchasing a vehicle, health offers, supplementary insurances, a pension plan and various discounts.

Together with over 2,300 fellow experts we enable Fortune 500 firms, global market leaders and SMEs to maximise the impact of their digital initiatives and achieve digital excellence. We prioritise people and genuine human connections, ensuring a supportive and inclusive work environment, and offer maximum flexibility through a hybrid workplace.

The primary location of this position is Hamburg. In this role you combine technological excellence with an entrepreneurial mindset and actively shape strong, growth‑oriented client relationships as well as a high‑performing portfolio in the data and AI domain. Strategic development of the unit: architecture, operating model, service portfolio.

Portfolio responsibility for pipeline, utilisation and delivery quality. Account management and growth of existing clients, in particular within the VW Group. Active contribution to pre‑sales and opportunity shaping, jointly with sales and strategy. Embedding KPIs, quality gates and regulatory requirements into the delivery process.

Several years of solid experience in data architecture & data engineering, including cloud platforms (Azure, AWS, GCP). Demonstrable portfolio responsibility. Experience in pre‑sales and in building service portfolios. Confident handling of corporate stakeholders at C‑ / VP‑level. Experience with regulatory requirements (GDPR, EU AI Act).

Servant leadership mindset. Strong communication and stakeholder management skills. German and English at full professional working proficiency level (C1+). Nice‑to‑have skills Experience in the automotive industry or production‑related sectors. Familiarity with VW Group structures and processes.

What we have to offer Professional & Personal Growth: Development programmes, free language courses, competence centres and an active tech community. Flexible Work‑Life Balance: Hybrid work, workation, flexible hours, parental support and sabbaticals.

Embrace Diversity & Sustainability: Participation in the Sustainability Hub, diverse communities, Diversity Taskforce and after‑work activities. What we value At Diconium we value and recognise the unique perspectives and experiences of each individual.

We welcome and cherish every application equally and stand up against any type of discrimination and harassment based on gender, age, skin colour, religion, sexual orientation, origin, disability, gender identity and other protected characteristics. Contact: Maren Hennig, maren.hennig@diconium.com #J-18808-Ljbffr