Team Lead Data Engineering

vor 3 Wochen

Munich, Deutschland Hopmann Marketing Analytics GmbH Vollzeit

Hopmann Marketing Analytics GmbH is a boutique consultancy for digital analytics, data engineering, data science and data visualization based in Munich-Neuhausen. With our enthusiasm and determination, we support well-known clients from the telecommunications, automotive, IT, medical and retail sectors in analyzing their corporate data and work with them to develop action-oriented solutions that support data-driven 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 company's 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 mentor and inspire a data engineering team of up to 6 employees, fostering a collaborative environment that encourages innovation, accountability, and continuous professional development
  • You understand the company’s strategic objectives and translate these into actionable tasks to effectively communicate and integrate these into the team's 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 key data engineering projects, 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 to attract new clients and expand existing relationships, by demonstrating the compelling value and innovative capabilities of our data engineering solutions
Requirements
  • Master's 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 non-technical stakeholders
  • Leadership personality with convincing professional competence
Benefits
  • Exciting, varied projects with well-known 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 state-of-the-art 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 goal-oriented, 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.

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