Aktuelle Jobs im Zusammenhang mit Data Analytics Engineer - Munich, Bayern - FELD M GmbH
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SAP Data Analytics Expert
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Munich, Bayern, Deutschland NTT DATA Deutschland SE VollzeitDeine MissionAls SAP Data & Analytics Expert bist du verantwortlich für die Beratung von Kunden bei der Neugestaltung und Transformation ihrer bestehenden SAP Data & Analytics Landschaften. Du konzipierst und realisierst moderne und innovative Lösungen (On-Premise und Cloud) und übernimmst Verantwortung in Form von (Teil-) Projektleitungsaufgaben. In...
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SAP Data Analytics Expert
vor 4 Wochen
Munich, Bayern, Deutschland NTT DATA Deutschland SE VollzeitDeine MissionAls SAP Data & Analytics Expert bist du verantwortlich für die Beratung von Kunden bei der Neugestaltung und Transformation ihrer bestehenden SAP Data & Analytics Landschaften. Du konzipierst und realisierst moderne und innovative Lösungen (On-Premise und Cloud) und übernimmst Verantwortung in Form von (Teil-) Projektleitungsaufgaben. In...
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vor 3 Wochen
Munich, Bayern, Deutschland Hoffmann Group VollzeitSenior Analytics EngineerOur Business Intelligence team at Hoffmann Group is seeking a skilled Senior Analytics Engineer to join our team in Munich.Your ResponsibilitiesCollaborate with BI Analysts and data scientists to enhance data models for business intelligence toolsDesign, develop, and extend dbt code to expand the Data ModelLead major sections of the...
Data Analytics Engineer
vor 2 Monaten
As part of our Data Product team, we tackle data-centric challenges by architecting and implementing comprehensive analytical solutions. This includes the development of infrastructure, detailed analyses, and insightful visualizations, all rooted in a profound understanding of our clients' operations and requirements.
In the role of an analytics engineer, you will be responsible for structuring, constructing, and sustaining data warehouses and data models, while also contributing to the evolution of our team and service offerings.
- Collaborate with data engineers and business intelligence professionals to deliver clean, timely, and dependable data sets for analysts and business stakeholders.
- Design, construct, and enhance precise, scalable, and maintainable data warehouses, data pipelines, and data models tailored to client specifications.
- Define, implement, and uphold ETL/ELT pipelines in partnership with data engineers and business intelligence consultants, facilitating streamlined collaboration between both domains.
- Incorporate software engineering principles into the data stack, including version control, continuous integration, unit testing, and thorough documentation.
- Provide guidance on modeling strategies and data technology stack implementation, tailored to client aspirations across various sectors (e.g., dbt, Snowflake, Big Query, Airbyte, Fivetran).
- As a member of the Data Product team, you will influence team structure and artifacts, while propelling the advancement of our tool stack to ensure future readiness.
- Flexibility: Adapt your working hours to suit your personal rhythm in coordination with your team, acknowledging the importance of work-life balance.
- Sustainable Pace: We strive to minimize overtime; however, if it occurs, you can easily compensate for it at your discretion.
- Remote Work: Select the environment that enables you to work most effectively, whether from home or in a shared workspace.
- Self-organization: You will have full responsibility from day one, with a shared leadership approach that fosters a non-hierarchical team dynamic.
- Development: Explore various areas within FELD M and enhance your skills with our support, including opportunities for internal coaching.
- Team spirit: We prioritize team cohesion, ensuring an open and inclusive atmosphere, with team-building activities and celebrations of our collective achievements.
- Equipment: Choose your preferred operating system—Windows, Ubuntu, or macOS—and we will provide the necessary hardware and tools for a comfortable work experience.
- Approximately 3 years of experience in data engineering, business intelligence, analytics, or related fields.
- Fluency in both English and German, enabling effective communication within the team and with clients.
- Strong proficiency in SQL; knowledge of Python is advantageous.
- Experience in designing and building scalable, reliable, and reusable data models, with a solid understanding of Git and initial hands-on experience with dbt.
- Familiarity with emerging tools in the data ecosystem, such as Snowflake, BigQuery, Databricks, Airbyte, dlt, Fivetran, and Airflow is a plus.
- Adept at managing multiple concurrent projects while enjoying teamwork, and taking initiative in your areas of responsibility.
FELD M is a consultancy specializing in analytics and strategy for marketing in an increasingly digital landscape. We collaborate with clients to develop sustainable communication, sales, and product strategies for customer acquisition and retention, focusing on both online and offline channels.