Posted 6 days ago
Data Analytics Tech Lead (m/f/d) - relocation
AI Summary
Leads a data analytics team of 7 in a hybrid role, balancing people management with hands-on technical work. Manages projects using agile principles, collaborates with product and chapter leads, and takes on a squad role such as Data Scientist or Data Engineer.
About this role
Our partner, a well-known international corporation, is seeking a Data Analytics Tech Lead (m/f/d) to join their team. This is a full-time position in the Düsseldorf metropolitan area, Germany (partial work from home is possible).
Relocation from abroad is possible.
As the Tech Leader, you'll play a key role in managing and developing a talented data analytics team of 7 individuals. Your primary focus will be on solving complex technical data challenges to drive the company toward its business objectives.
Your Responsibilities:
- Lead the Data & Analytics team, managing them in accordance with agile values and principles, ensuring efficient project delivery and optimal performance.
- Foster the growth and development of your team members, and closely collaborate with a Product Owner and Chapter Leads.
- Strike a balance between people management responsibilities and hands-on technical tasks, ensuring a 50/50 split to drive both team cohesion and project success.
- Taking over one of the squad roles: Data Scientist, Data Engineer, Product Owner, Frontend Expert, or Machine Learning Engineer.
- Collaborate with business partners to devise innovative strategies and solutions, leveraging cutting-edge techniques and tools to meet and exceed business objectives.
- Engage in strategic collaborations with stakeholders to identify opportunities for process optimization and technological advancement.
Job Requirements:
- Bachelor's degree in Computer Science or a related field.
- Minimum of 5 years of leadership experience and/or project management in data & analytics, demonstrating your ability to lead and inspire teams towards achieving the company’s goals.
- Extensive experience in one of the following roles: Data Scientist, Data Engineer, Product Owner, Frontend Expert (Tableau), or Machine Learning Engineer.
- Proven track record of working in large enterprises, showcasing your ability to thrive in complex organizational structures and deliver results at scale.
- Extensive experience implementing agile values and principles, coupled with a passion for driving innovation and continuous improvement.
- Hands-on experience working with Microsoft Azure, Databricks, and Apache Spark.
- Fluency in English at a C1 level, enabling seamless communication and collaboration in an international setting.
Benefits:
- Comprehensive relocation support for you and your family, ensuring a smooth transition to your new role and surroundings.
- Relocation package to facilitate your move and ease any initial expenses.
- Hybrid work model, offering you the flexibility to balance your professional and personal commitments.
- Future-oriented training and development opportunities, empowering you to stay ahead in an ever-evolving industry.
- Corporate health management program, prioritizing your well-being and ensuring you thrive both in and out of the workplace.
If you are interested and believe you fit the requirements to join the team as a Data Analytics Tech Lead (m/f/d) – apply now by sending us your CV.
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- Market overviewState of tech hiring, September 2026: up 4.8%Tech hiring rose 4.8% month over month in September 2026, with 411,122 new listings. Customer support and account executive roles led the growth.