Job description:
**💻 Ework Group**
- founded in 2000, listed on Nasdaq Stockholm, with around 13,000 independent professionals on assignment
- we are the total talent solutions provider who partners with clients, in both the private and public sector, and professionals to create sustainable talent supply chains.
With a focus on IT/OT, R&D, Engineering and Business Development, we deliver sustainable value through a holistic and independent approach to total talent management.
By providing comprehensive talent solutions, combined with vast industry experience and excellence in execution, we form successful collaborations. We bridge clients and partners & professionals throughout the talent supply chain, for the benefit of individuals, organizations and society.
🔹 For our Client we are looking for **Lead Data Engineer** 🔹
**✔️Job Description:**
Are you ready to lead transformative initiatives in data engineering? This position offers the opportunity to drive innovation and optimization in the development of data infrastructure and pipelines to ensure the delivery of high-quality data management solutions on a global scale.
**✔️As Lead Data Engineer, the responsibilities include:**
* Working with teams of data engineers while fostering a culture of collaboration, innovation, and excellence.
* Executing the data engineering strategy in partnership with stakeholders.
* Defining and enabling the implementation of best practices, standards, tools, and services for data engineering, ensuring efficient data management.
* Enabling the implementation of data pipelines, data platforms, and tools by providing engineers automation and optimization capabilities to ensure the FAIR data product creation process is efficient.
* Ensuring the delivery of high-quality, scalable, and efficient data management solutions.
* Collaborating with cross-functional teams to understand and address technical requirements while implementing efficiency improvements.
* Providing processes and capabilities to ensure achievement of data quality and system performance measures.
* Contributing to a high-performance team that fosters professional growth while promoting diversity and inclusion.
**✔️Ideal candidates will have:**
* A Master’s degree in Data, Computer Science, Information Management, or a related field.
* 8
- years of experience in software and data engineering, including at least 4 years in Data Pipeline Engineering and Integration. Demonstrated experience in leading complex data engineering projects is essential.
* Strong proficiency in Databricks and a deep understanding of its core functions and tools for optimizing data workflows and analytics.
* Extensive experience with programming languages such as Python for data manipulation, automation, and model development.
* Proficiency in SQL for complex query development, performance tuning, and data extraction across varied databases.
* Hands-on experience with DevOps and CI/CD processes and tools for 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.
* 4
- years of strong experience with cloud technologies such as Azure and AWS (certifications are a plus).
* Familiarity with life sciences regulatory requirements and standards.
* Experience in designing scalable data engineering solutions, working closely with business teams, and leading virtual technical teams.
* Proven leadership abilities, exceptional communication skills, and adept stakeholder management to guide virtual technical teams and drive cross-functional initiatives.
**✔️Personal Attributes:**
Candidates should thrive in a dynamic and evolving field. Adaptability to ambiguity, curiosity about emerging technologies, and a commitment to fostering collaboration across teams are key. The ability to inspire innovation, drive business outcomes, and lead with inclusivity will be critical to success in this role.
The position is based in Warsaw, Poland and at a site in Ørestad, Greater Copenhagen, Denmark. Work is primarily remote in a global environment, with occasional core meetings or workshops held at the Danish or Polish office.
**✔️About the department:**
The role is part of the Global Data & Artificial Intelligence area, within the Data Engineering department of Data Management. The department is globally distributed and focused on harnessing the power of data and artificial intelligence, integrating it into operational structures. Responsibilities include innovation, process definition, and platform implementation across data governance, data engineering, master data management, metadata management, data marketplaces, and data quality — all aligned with strategic business priorities.
**✔️Working in the organization:**
This is a global healthcare environment that has delivered treatments for diabetes, obesity, and rare blood and endocrine diseases for over a century. The organization employs more than 67,000 people across 80 countries. Professional and personal development is highly valued, and employees have access to a purpose-driven culture and cutting-edge technologies.
**✔️ We offer:**
* B2B agreement
* Transparent working conditions with both Ework and the client
* Current support during our cooperation
* Possibility to work in an international environment
* Collaborative environment in Swedish organizational culture
* Private medical care
* Life insurance
* Multisport
* Teambuilding events
Contact person: monika.jozwik@eworkgroup.com
Client code: HNN01
Do you know someone who would fit this position? Recommend a candidate by sending her/his CV to: polecenia@eworkgroup.com
Whistleblowing Policy, which provides guidelines for reporting misconduct can be found on Ework website: https://www.eworkgroup.com/about-us/our-responsibility