Aktuelle Jobs im Zusammenhang mit Data Analytics Engineer - Munich, Bayern - FELD M GmbH
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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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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
At FELD M GmbH, our Data Product team tackles complex data challenges by architecting and developing comprehensive analytical solutions. This includes creating robust infrastructures, conducting analyses, and producing visualizations, all grounded in a thorough understanding of our clients' business needs.
As an Analytics Engineer, your role will involve organizing, constructing, and maintaining data warehouses and models, while also contributing to the growth of our team and enhancing our service offerings.
- You will collaborate with data engineers and business intelligence consultants to deliver clean, timely, and reliable datasets for analysts and business stakeholders.
- Based on client requirements, you will design, build, and optimize scalable and maintainable data warehouses, pipelines, and models.
- You will define, implement, and sustain ETL/ELT pipelines in partnership with data engineers and business intelligence consultants, facilitating effective collaboration between both domains.
- You will apply software engineering principles to the data stack, incorporating version control, continuous integration, unit testing, and thorough documentation.
- You will provide guidance on modeling strategies and data technology stack implementations tailored to the client's needs 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, driving the evolution of our tool stack to ensure future readiness.
- Flexibility: Adjust your working hours to fit your personal rhythm in consultation with your team.
- Sustainable Pace: We prioritize a balanced workload, allowing you to manage any overtime responsibly.
- Remote Work: Choose your most productive work environment, whether at home or in a shared workspace.
- Self-organization: You will have full responsibility from day one, with a shared leadership model that encourages everyone to take on leadership roles.
- Development: Explore various areas within FELD M and enhance your skills with our support, including internal coaching opportunities.
- Team spirit: We foster team cohesion through open communication, inclusive practices, and regular team-building events.
- Equipment: Select your preferred operating system—Windows, Ubuntu, or macOS—and we will provide the necessary hardware.
- Approximately 3 years of experience in data engineering, business intelligence, analytics, or a related field.
- Fluency in both English and German for effective communication within the team and with clients.
- Strong proficiency in SQL; Python knowledge is a significant advantage.
- Experience in designing and constructing scalable, reliable, and reusable data models, with proficiency in Git and hands-on experience with dbt.
- Familiarity with emerging tools in the data ecosystem, such as Snowflake, BigQuery, Databricks, Airbyte, dlt, Fivetran, and Airflow.
- A proactive approach to managing multiple engagements while enjoying teamwork and taking ownership of your responsibilities.
FELD M GmbH is a consultancy specializing in analytics and strategy for marketing in a digitalized landscape. We partner with clients to develop sustainable communication, sales, and product strategies for customer acquisition and retention, leveraging both online and offline channels.