Senior Data Engineer @ Ework Group

For our client - a company from pharmaceutical area, we are looking for Senior Data Engineer.

Right now, we are looking for two Senior Data engineers to join our successful Haystack platform, where we model financial date for valuable reporting.

We live in Azure, with Databricks and Fabric being our main tools of trade, but experience and capabilities in working with Python, AAS and SQL / Sequel are highly appreciated.

You could be an expert in backend or frontend design and engineering, or maybe a hybrid, even covering Purview / PowerApps or LogAnalytics? If you have strong capabilities in these areas, let’s hear from you!

Department Overview

You will be part of the Global Data & Artificial Intelligence area, in the Data Engineering department of Data Management. Data Management is globally distributed and has for mission to harness the power of Data and Artificial Intelligence, integrating it seamlessly into the fabric of organization's operations. We provide the foundation to integrate the areas of Data and Artificial Intelligence throughout the whole organization, empowering organization to realize its strategic ambitions to create a connected data landscape. We drive the innovation, process definition, and platform implementation in the areas of data governance, data engineering design, master data management, metadata management, data marketplace, and data quality aligned with business priorities.

• A master’s degree in data, Computer Science, Information Management, or a related field.
• Experience of 5+ years in the domain of software and data engineering, with relevant years in Data Pipeline Engineering and Integration.
• Strong proficiency in Databricks and / or Fabric and a deep understanding of its core functions and tools to optimize data workflows, date modelling and analytics.
• Extensive experience with programming languages such as Python, especially for data manipulation and automation.
• Proficient in SQL for complex query development, and data extraction across varied databases.
• Hands-on experience with DevOps, ensuring smooth and reliable software delivery and code deployments..
• Expertise in data modelling, data integration, metadata management, and data governance to establish robust and scalable data architectures.
• Strong experience of 4+ years with Cloud Technologies, such as Azure and AWS. Certifications are a plus.

For our client - a company from pharmaceutical area, we are looking for Senior Data Engineer.

Right now, we are looking for two Senior Data engineers to join our successful Haystack platform, where we model financial date for valuable reporting.

We live in Azure, with Databricks and Fabric being our main tools of trade, but experience and capabilities in working with Python, AAS and SQL / Sequel are highly appreciated.

You could be an expert in backend or frontend design and engineering, or maybe a hybrid, even covering Purview / PowerApps or LogAnalytics? If you have strong capabilities in these areas, let’s hear from you!

Department Overview

You will be part of the Global Data & Artificial Intelligence area, in the Data Engineering department of Data Management. Data Management is globally distributed and has for mission to harness the power of Data and Artificial Intelligence, integrating it seamlessly into the fabric of organization's operations. We provide the foundation to integrate the areas of Data and Artificial Intelligence throughout the whole organization, empowering organization to realize its strategic ambitions to create a connected data landscape. We drive the innovation, process definition, and platform implementation in the areas of data governance, data engineering design, master data management, metadata management, data marketplace, and data quality aligned with business priorities.

Dedicated engineering prioritized by the team Product Manager., Support the DK based core team in developing new product / models., Take lead in tasks given by Product Manager, aligning with stakeholders., Plan and execute your work in Azure DevOps., Document all work to be transparent for the rest of the team., Ensure the delivery of high-quality work. Trust in data is our most valuable currency., Collaborate with cross-functional teams to understand and address technical requirements in addition to implementing efficiency improvements.] Requirements : Python, Azure, Databricks, SQL, Azure DevOps Additionally : Sport subscription, Private healthcare, International projects.