About The Company
Obungi GmbH is a leading specialist in Data, Analytics, and AI Cloud Solutions based in Hamburg, Germany. Established in 2006, Obungi has built a strong reputation as one of the top Microsoft Partners in Germany, consistently delivering innovative cloud-based data, analytics, and AI solutions. The company's mission revolves around leveraging modern technologies to support clients in a service-oriented and collaborative manner. Their guiding principle, "Happy Data. Happy People," underscores their commitment to creating value-driven solutions that enhance business performance and foster a positive working environment.
Obungi serves a diverse range of clients, including prominent large enterprises and well-known mid-sized companies across various industries. Their project portfolio is equally diverse, spanning real-time analytics solutions in energy trading to business intelligence implementations in retail. This variety ensures that employees are continuously engaged with new challenges, technologies, and industry sectors, fostering a dynamic and stimulating work environment. The company's strong partnership with Microsoft provides access to exclusive technology previews, technical support, and training opportunities, empowering their team to stay at the forefront of technological advancements.
About The Role
As a Data Analytics Engineer at Obungi GmbH, you will be an integral part of an agile team working on complex data-driven projects for a broad spectrum of clients. Your role involves translating business needs into technical solutions, designing and implementing scalable data platforms, and developing innovative analytics solutions. You will collaborate closely with clients to understand their challenges and craft tailored data architectures that deliver tangible business value. The position offers a unique opportunity to work with cutting-edge cloud technologies such as Microsoft Fabric, Azure Databricks, and other advanced tools within the Microsoft ecosystem.
In this role, you will be responsible for creating and optimizing data pipelines, modeling data for analytics and AI applications, and ensuring the performance, scalability, and quality of data platforms. Your contributions will directly impact the success of client projects, enabling organizations to harness their data for strategic decision-making. The position is suitable for professionals at various experience levels, from entry-level to senior specialists, offering opportunities for growth and responsibility aligned with your expertise.
Qualifications
We welcome candidates with a range of backgrounds, whether you are a young professional, a senior data engineer, or a career changer. Essential qualifications include a bachelor's, diploma, or master's degree, or equivalent practical experience. A solid understanding of data structures and principles is required, along with strong communication skills and enjoyment in interacting with clients and colleagues. Experience with relevant tools within the Microsoft environment or similar platforms is important, as well as a keen interest in emerging technologies and personal development. Proficiency in German and good English language skills are necessary for effective communication in our diverse client and team environments.
Additional desirable qualifications include knowledge of Microsoft analytics tools such as Microsoft Fabric, Azure Synapse, Power BI, Databricks, or Apache Spark. Familiarity with data architecture, data modeling, governance, and data quality concepts, along with programming skills in Python, SQL, or similar languages, will be advantageous. Experience with Spark, Delta Parquet, version control systems like Git, and CI/CD pipelines will also be beneficial.
Responsibilities
Your core responsibilities will include working within an agile team to develop data analytics solutions across various industries, from initial concept to deployment. You will identify data-driven use cases with clients, understanding their business challenges and translating these into technical solutions that generate measurable value. Designing and implementing modern data platform architectures in the Microsoft Cloud environment, such as Microsoft Fabric or Azure Databricks, will be a key aspect of your role.
You will develop scalable data pipelines and models to facilitate analytics and AI applications, ensuring high performance, data quality, and compliance with governance standards. Continuous optimization of data platforms for performance and scalability will be part of your ongoing tasks. Additionally, you will contribute to internal knowledge sharing, staying updated on new technologies, best practices, and architectural approaches to enhance project delivery and innovation within the team.
Benefits
Obungi GmbH offers a comprehensive benefits package designed to support your professional growth and personal well-being. You will have the flexibility to choose your preferred work location, whether working from home, the office in Hamburg, or coworking spaces in Bremen and Lübeck. Flexible working hours and the option for full-time or part-time employment allow you to balance work and life effectively.
The company promotes health and wellness through partnerships with Urban Sports Club, free mental health counseling (Furstenberg Institute), and 30 days of vacation for a five-day work week. Professional development is prioritized through paid training, certifications, mentoring programs, and opportunities for international training, including in the USA. Obungi fosters a positive team culture with flat hierarchies, offsite events abroad, team-building activities, and a collaborative environment.
Additional perks include fresh fruit, free beverages (water, coffee, soft drinks, and evening beers), and a Candy Bar. The company's central location between Alster and Hamburg Hauptbahnhof, along with options like Jobrad and HVV subsidies, ensures convenient commute options.
Equal Opportunity
Obungi GmbH is committed to fostering an inclusive and diverse workplace. We provide equal employment opportunities to all applicants and employees, regardless of gender, age, ethnicity, disability, sexual orientation, or background. We believe that a diverse team enhances innovation and drives success, and we actively promote a culture of respect, collaboration, and mutual support.
