Engineering Manager - Data & AI

Engineering Manager - Data & AI



We are looking for a strategic and hands-on Engineering Manager to lead our Data & AI team based in Aarhus.



You'll manage a team of 4 full-time data professionals, delivering high-impact data solutions that empower internal stakeholders to make smarter decisions. Beyond technical leadership, you'll play a key role in shaping the future of our data capabilities and contributing to broader business growth.



After the recent surge in AI demand, we are now building our own digital competencies in-house. This role will be a spearhead for this new wave of thinking. This means I need to you to have an inquisitive mindset and be ready to present some out of the box thinking for future development.



Key Responsibilities



*

Team Leadership & Development

* Lead, mentor, and grow a team of data engineers and analysts.
* Drive recruitment efforts to attract top talent and build a high-performing team.
* Foster a culture of learning, collaboration, and continuous improvement.



*

Technical Delivery

* Oversee the design, development, and maintenance of scalable ETL pipelines and data models using Azure Data Services (e.g., Azure Data Factory, Azure Synapse, Azure SQL).
* Ensure timely and accurate data analysis and reporting to support internal decision-making.
* Promote best practices in data governance, security, and performance optimization.



*

Strategic Roadmapping & Innovation

* Define and evolve the strategic roadmap for Data & AI, aligning with business goals.
* Explore and evaluate emerging tools, technologies, and methodologies to support long-term digital growth.
* Advocate for data-driven thinking across the organization.



*

Stakeholder Engagement

* Collaborate closely with internal stakeholders to understand business needs and translate them into scalable data solutions.
* Act as a trusted advisor on data strategy, analytics, and digital transformation initiatives.



Qualifications

* Proven experience in leading data engineering or analytics teams, ideally within a cloud-first environment.
* Strong technical expertise in Azure Data Services, ETL processes, and data warehousing.
* Solid understanding of data analysis, reporting tools (e.g., Power BI), and business intelligence.
* Experience in recruitment, team development, and stakeholder management.
* Strategic mindset with the ability to align technical initiatives with business objectives.
* Familiarity with agile methodologies and modern data architectures is a plus.
* Fluency in Danish is desired but not mandatory



Although this is an area we want to take hold of quickly, we won't be short cutting our decision making process when it comes to the right candidate.

If you want to learn more then reach out - d.nichol@tenthrevolution.com