Hopmann Marketing Analytics GmbH is a boutique consultancy for digital analytics data engineering data science and data visualization based in MunichNeuhausen. With our enthusiasm and determination we support wellknown clients from the telecommunications automotive IT medical and retail sectors in analyzing their corporate data and work with them to develop actionoriented solutions that support datadriven decisions.
Our passion is data and we want to make it accessible to everyone in meaningful visualizations ad hoc reports and sophisticated analyses.
We are looking for a proactive Data Engineering Team Lead to understand and communicate our companys vision seamlessly integrate these into daily operations and focus on the continuous development and success of the data engineering team in achieving strategic goals.
Tasks
You will lead by example with 7080% of your time focused on handson data engineering tasks to drive the of projects and the remaining 2030% dedicated to mentoring team leadership and strategic alignment.
- You mentor and inspire a data engineering team of up to 10 employees and potential less experienced team leads fostering a collaborative environment that encourages innovation accountability and continuous professional development
- You understand the companys strategic objectives and translate these into actionable tasks to effectively communicate and integrate these into the teams daily operations to ensure alignment and drive results
- You consult with clients to gather understand and analyse their unique requirements and objectives to develop technical solutions that align with their strategic goals
- You plan execute and deliver complex data projects for our key clients ensuring they meet timelines budget constraints and quality standards
- You cooperate closely with your colleagues from the Data Visualization Digital Analytics and Data Science teams to develop innovative solutions
- You identify emerging technologies and trends in the data engineering landscape and recommend strategies for adoption to maintain our competitive edge and enhance our data engineering expertise
- You contribute to business development and strategic alignment to attract new clients and expand existing relationships
Requirements
- Masters or higher in Computer Science Data Science Engineering or related fields
- At least 5 years of experience in data engineering with demonstrated ability to design build and maintain scalable and robust data pipelines
- Deep understanding of data integration data modeling workflow orchestration and CI/CD and corresponding tools/technologies (e.g. SQL Python Spark Airflow Git)
- Proficiency in cloud services (AWS Azure GCP) and managed data services (like Snowflake databricks dbt Cloud MWAA)
- Familiarity with optimizing data systems and infrastructures in areas like performance scalability and stability but also data quality data observability and data security
- Experience with leading a data engineering team or managing complex data projects including budgeting and timeline creation
- Excellent communication and presentation skills in German and English capable of clearly articulating complex data concepts to nontechnical stakeholders
- Leadership personality with convincing professional competence
Benefits
- Exciting varied projects with wellknown customers from various industries right from the start
- Personal responsibility and involvement in strategic development
- An open working atmosphere and flat hierarchies with competent colleagues
- Further training and certifications as well as participation in events and conferences
- Flexible working hybrid or on site in our stateoftheart offices in Munich or at Schliersee
We are looking for a Team Lead Data Engineering (m/f/d) to join our team with immediate effect.
We are passionate committed and goaloriented can organize ourselves well present ourselves confidently to our customers and want to drive the entire company forward as a team. Is working on complex data projects also your strength do you inspire others with your ideas and do you think you would fit in well with us
We look forward to receiving your application with your earliest start date and salary expectations. The salary range is 85.000100.000 depending on skills qualifications and experience.