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Summary:
- Ergomed is a rapidly expanding full-service mid-sized CRO specializing in Oncology and Rare Disease.
- Since its foundation in 1997, the company has grown organically and steadily by making strategic investments and landmark acquisitions, with operations in Europe, North America, and Asia.
- Ergomed allows for employee visibility, creative contribution, and realistic career development.
- The company has nurtured a true international culture.
- Employee experience, well-being, and mental health are highly valued.
- A healthy work-life balance is a critical factor for employee satisfaction, which in turn nurtures an environment for high-quality client service.
- Ergomed offers an exciting opportunity to make a positive impact on patients’ lives.
Responsibilities:
- The data engineer will play a pivotal role in building and operationalizing the minimally inclusive data necessary for the enterprise data management, analytics, and business intelligence initiatives following industry standard practices and tools.
- The bulk of the data engineer’s work will be in building, managing, and optimizing data integration pipelines.
- The data engineer will move these data pipelines effectively into production for key analytics consumers, including business domain owners, business/data analysts, product owners, and decision-makers at operational, tactical, and strategic levels, or any group that needs curated insights for data-informed problem-solving use cases across the enterprise.
Requirements:
- A master’s degree in computer science, data science, software engineering, or a related field.
- At least three years of experience in BI development, data analytics, data engineering, software engineering, or a similar role.
- Expertise in data modeling, ETL development, data architecture, master data management.
- Strong experience with various Data Management architectures like data warehouse, data lake, LakeHouse architecture, Data Fabric vs Data Mesh concepts, and the supporting processes like data Integration, MPP engines, governance, and metadata management.
- Intermediate experience in Apache technologies such as Spark, Kafka, and Airflow to build scalable and efficient data pipelines.
- Strong experience in designing, building, and deploying data solutions that capture, explore, transform, and utilize data to create data products and support data-informed initiatives.
- Proficiency in ETL/ELT, data replication/CDC, message-oriented data movement, API design and access, and upcoming data ingestion and integration technologies such as stream data integration and data virtualization.
- Basic knowledge and ability in data science languages/tools such as R, Python, TensorFlow, Databricks, Dataiku, SAS, or others.
- Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (i.e., AWS, OCI, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks, etc.).
- Strong experience with database technologies such as SQL, NoSQL, PostgreSQL, Oracle, Hadoop, Teradata, etc.
- Intermediate experience working with popular data discovery, analytics, and BI software tools like PowerBI, Tableau, Qlik Sense, Looker, ThoughtSpot, MicroStrategy, or others for semantic-layer-based data discovery is an advantage.
- Expert problem-solving skills, including debugging skills, allowing the determination of sources of issues in unfamiliar code or systems, and the ability to recognize and solve repetitive problems.
Benefits:
- Training and career development opportunities internally.
- Strong emphasis on personal and professional growth.
- Friendly, supportive working environment.
- Opportunity to work with colleagues based all over the world, with English as the company language.
- Ergomed’s core values are key to how the company operates, including:
- Quality
- Integrity & Trust
- Drive & Passion
- Agility & Responsiveness
- Belonging
- Collaborative Partnerships
