Job description

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.

Requirements

Must-haves

Relocation from abroad is possible.
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.
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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

agilemachine learningazure

Platform: breezy
Effort: medium