Fresenius is a global healthcare company headquartered in Bad Homburg v. d. Höhe, Germany. In fiscal year 2024, Fresenius generated €21.5 billion in annual revenue with around 175,000 employees (excluding Fresenius Medical Care).
Tasks
Targets of the position. As a Data Engineer, you will build and run cloud services ETL pipelines. You will collaborate with data scientists, product teams/owners, business process experts, and infrastructure experts to build data and analytics solution/pipelines. You will use your experience, knowledge, and problem-solving skills to design, implement, test, deploy and operate containerize and automated solutions, cloud services, and ETL pipelines running on Azure or SAP tech stack.
Position in the Company
The position of Senior Data Engineer
Main Tasks:
w Building complex big data/analytics platforms, data warehouses and data pipelines for a wide
range of topics (Finance, IoT, Operations, HR, Sales Marketing etc.) for different use cases.
w Design, plan, implement and operate Data & Analytics solutions in a DevOps working.
environment, leveraging the possibilities of our Azure-based data platform.
w Management and release of system resources with versioning using Continuous
Integration (CI) / Continuous Delivery (CD).
w Take ownership of the implementation and maintenance of complex data flows (DBT)
w Implement relational and multidimensional data models and be responsible for
the design and implementation of ETL/ELT processes.
w You will be application owner for solutions like Matillion, SAP Data Intelligence, Mulesoft,
Azure CI/CD etc.
w Design and implement scalable & sustainable data pipelines for the data science team & BI Team.
w Standardize data discovery, acquisition, harmonization processes & constantly strives to
optimize the data models to provide data with quality and trust.
w Ensure compliance with all required security considerations, including the need to
protect corporate data.
Qualification and Experience:
w You are an experienced data engineer, having worked with the Large Data Ecosystem (SAP BW,
Kafka, Spark), with cloud-based services (on Azure or AWS) and with containers (Docker, Kubernetes, Functions).
w You have hands-on experience in creating and managing an enterprise-scale Data Platform,
while setting best practices for security, privacy, monitoring & alerting, and CI/CD.
w You have experience working with cross-functional teams in an agile environment
w You can communicate clearly and show empathy, to your team and your key stakeholders
w You are a self-organized individual, with a focus and ability to prioritize your workload using
business data and metrics
w Experience with BI & Master Data (Technology, Process & Governance) will be added advantage.
w Develop and continuously update Master data KPI's and align them to internal success metrics
that can be pitched to the key business stakeholders and the senior management.
w Work closely with business to translates strategic objectives into operational tasks
Requirements / Knowledge to fulfil the position:
w Bachelor’s/Master's degree in a computer science or other STEM field
w At least 4 years of experience in data modelling, analysis and optimizing big data pipelines
w Hands-on experience in cloud data ecosystems & SAP BW: covering data ingestion, data modeling, and data provisioning to consumers and downstream systems
w Advanced SQL, PL-SQL skills - you can solve the problem with most efficient SQL considering the underlying data warehouse, delta lake, data volume and loading methods
w Deep knowledge of data pipeline orchestration (e.g., ADF) and distributed computation frameworks (e.g., Spark)
w Experience in implementing DataOps and MLOps concepts
w Applied programming knowledge preferably Python and/or R
w Experience with agile methodologies in a professional development environment (CI/CD)
w Analytic skills related to working with structured, semi-structured & unstructured datasets
w Proven track record of delivering value from data. Experience in building robust, scalable, high-quality data products in an iterative way and integrating them into existing and new data pipelines
w Creative thinking, willingness, and ability to learn new concepts and technologies
w Fluent in English; German language skill is a plus
Required Business Contacts:
w Internal: Key stakeholders from the CFO/CEO (head’s of dept) function
w External: Top Enterprise Master Data solution vendors
Name: Amit Kumar
Email: Amit.Singh1@fresenius.com
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At Fresenius, we are convinced that combining different perspectives, opinions, experiences, cultures and values enables us to harness the potential that will make us even more successful. All job applicants are welcome.
All terms used in this job advertisement to denote persons refer to all genders equally.
When it’s not just a job, but your calling. When you have an impact on people’s lives every day. When you can’t imagine doing something else. Then you know it’s Fresenius.