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Position Overview
The Manager Data Engineer will be responsible for the technical delivery of IT related data projects and leading them toward successful completion while providing technical leadership experience rigor and consistency across the enterprise.
This is a hands-on role that requires close collaboration with all levels of Exact Sciences to drive the development of scalable efficient and secure data infrastructure that supports business goals and enables data-driven decision-making. This holder of the role will be responsible for the management of solution implementation with the help of service providers and other vendors that are required for integration with external and internal systems.
This role requires an experienced and credible practitioner of data engineering capable of delivering and continuously improving technical delivery capabilities while driving healthy change across the IT function with the continued engagement of their team key stakeholders and thought leaders.
The place of work is Warsaw Poland.
Essential Duties
Include but are not limited to the following:
- Provide technical direction and guidance as well as hands-on project leadership for complex data software development and integration projects.
- Manage a team of skilled data engineers and promote a culture of collaboration continuous learning and innovation within the team.
- Oversee the design implementation and maintenance of scalable data pipelines ETL processes and data infrastructure.
- Define project scope prioritize tasks and allocate resources effectively to meet deadlines.
- Monitor and report on the progress of data initiatives and their impact on business objectives.
- Develop and enforce best practices for data quality security and governance and ensure compliance with data security and privacy regulations.
- Assess new tools and technologies to improve data systems and support innovation.
- Drive tough decision-making whilst balancing business goals technical implications and timelines.
- Design and implement processes for monitoring and validating data accuracy and integrity.
- Optimize the performance of databases data lakes and data warehouses for reliability and scalability.
- Collaborate with cross-functional teams to ensure successful project delivery.
- Work closely with analysts developers and testers to ensure functional designs and assign duties responsibilities and scope of authority to personnel.
- Apply change risk and resource management (incl. financial and vendor management).
- Ensure up-to-date knowledge of a variety of software and hardware solutions; multi-vendor environments and hybrid environment of on premise co-located and cloud-based services.
- Effectively manage support and guide your team including but not limited to delegating tasks and responsibilities assess employee performance and provide helpful feedback and training opportunities.
- Consistent demonstration of exceptional leadership qualities including but not limited to the ability to attract and retain the best team foster a culture of high performance lead with integrity humility accountability and courage and set a clear vision to energize teams towards the future.
- Ability to work with business stakeholders data scientists and analysts to understand data requirements and design solutions that meet business needs.
- Excellent change management and issue resolution skills with the ability to deliver results.
- Exceptional stakeholder management skills with the ability to translate complex technical concepts into business language.
- Ability to communicate complex information and concepts succinctly.
- Excellent oral written and interpersonal communication skills with the ability to influence others.
- Exercise strong attention to detail quality oriented with the ability to see the big picture.
- Ability to establish and/or manage change in a dynamic and growing company.
- Strong customer focus with a track record for driving delivery and operational performance improvements across an organization.
- Uphold company mission and values through accountability innovation integrity quality and teamwork.
- Support and comply with the companys Quality Management System policies and procedures.
- Maintain regular and reliable attendance.
- Ability to act with an inclusion mindset and model these behaviors for the organization.
- Ability to work on a mobile device tablet or in front of a computer screen and/or perform typing for approximately 90% of a typical working day.
- Ability to travel 5% of working time away from work location may include overnight/weekend travel.
Minimum Qualifications
- Bachelors Degree in Information Systems Computer Science or field as outlined in the essential duties; or High School Diploma or 4th level vocational qualification in IT and 4 years of relevant experience related to the essential duties in lieu of Bachelors Degree.
- 7 years of experience in data engineering or related roles.
- 7 years of experience working with enterprise data solutions such as MS SQL OLAP SSRS SSIS Databricks Snowflake Master Data Mgmt. Tableau and/or PowerBI.
- 2 years in a management capacity leading and directing people.
- Fluency in the English language (C1 or above per CEFR framework) and ability to communicate in English on technical topics relating to application configuration and maintenance.
- Knowledge of cloud platforms (AWS Azure or Google Cloud) and their data services.
- Demonstrated success in delivering high-quality data solutions in complex environments.
- Familiarity with data governance frameworks and regulatory requirements.
- Authorization to work in the country of work without visa sponsorship.
Preferred Qualifications
- Certification in cloud platforms or big data technologies.
- Experience in data cleansing preparation analysis and visualization.
- Experience creating data-oriented applications in Tableau Salesforce Veeva.
- Experience debugging data issues in dashboards reports data warehouses operational data stores and other disparate data sources.
- Experience of data modelling as well as data Science methods and tools.
- Knowledge of Python AWS and Azure.
- Experience with data warehousing and the ETL process (extract transform and load).
- Experience developing dashboards and reports on data from sales call center and custom software applications.
- Experience in working in a global company with business users located across multiple time zones.
- Experience in molecular biology genomics translational science and/or personalized medicine.
- Superior technical communication skills.
- Knowledge of other languages (French German Italian Polish Spanish) and/or Japanese.
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Our success relies on the experiences and perspectives of a diverse team and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation please contact us here.
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Required Experience:
Manager