Chief Data Engineering Architect
vor 1 Monat
Hopmann Marketing Analytics GmbH is a boutique consultancy for digital analytics, data engineering, and data science based in Munich-Neuhausen. We are passionate about making data accessible to everyone through meaningful visualizations, ad hoc reports, and sophisticated analyses.
Key Responsibilities- You will lead complex data projects from start to finish, ensuring they meet timelines, budget constraints, and quality standards.
- You will design and implement data pipelines (ETL/ELT processes) and CI/CD pipelines, while planning and supporting the modelling of Data Warehouses.
- You will maintain and expand existing cloud infrastructures and Data Warehouses, optimizing processes for cost-efficiency, performance, and stability.
- You will collaborate closely with colleagues from the Data Visualization, Digital Analytics, and Data Science teams to develop innovative solutions.
- A degree from a university or technical college in Computer Science, Statistics, or a related field.
- Several years of professional experience as a Data Engineer, Data Analyst, or Data Scientist, ideally within Marketing Analytics or a similar field.
- Hands-on experience in designing, implementing, and maintaining data pipelines.
- Strong proficiency in SQL and Python, along with experience in BI cloud technologies (e.g., AWS, GCP, Azure), orchestration tools (e.g., Airflow, Prefect), and modelling frameworks (e.g., dbt).
- 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 arrangements, including hybrid or on-site work in our state-of-the-art offices in Munich or at Schliersee.
We estimate the salary range for this position to be 60,000 - 70,000€ per year, depending on skills, qualifications, and experience.
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