Site Name: Poznan Business Garden Pastelowa, Belgium-Rixensart, UK – Hertfordshire – Stevenage, USA – Pennsylvania – Upper Providence
Posted Date: Dec 23 2022
Job Purpose
The Principal Data Engineer contributes to the construction of the CMC data Mesh and data strategy. This role will interact with architects, engineers, data modelers, product owners as well as other team members in Scientific Tech and R&D.
The Principal Data Engineer is a leading technical contributor who can consistently take a poorly defined business or technical problem, work it to a well-defined data problem/specification, and execute it at a high level. They have a strong focus on metrics, both for the impact of their work and for its inner workings/operations.
They are a model for the team on best practices for software development in general (and data engineering in particular), including code quality, documentation, DevOps practices, and testing, and consistently mentor junior members of the team. They ensure the robustness of our services and serve as an escalation point in the operation of existing services, pipelines, and workflows.
The Principal Data Engineer should demonstrate core engineering knowledge/experience of industry technologies, practices, and frameworks such as data Mesh and scaling data platforms, containerization, cloud-based platforms, data analytics, and data streaming. Examples of technologies include Java/C#/Python, Denodo, GIT, Azure DevOps, Data Bricks, Spark, Azure Data Factory, ADLS V2, Kafka, Selenium, JUnit/NUnit, SAFe, Kanban, Docker, Azure Cloud Architecture including networking principles and scaling applications.
You will be responsible for
- Using Azure cloud services and GSK data platform tools to ingest, egress, and transform data from multiple sources.
- Confidently optimizes the design and execution of complex solutions in data ingestion and data transformation
- Produces well-engineered software, including appropriate automated test suites, technical documentation, and operational strategy
- Provides input into the roadmaps of upstream teams (e.g., Data Platforms, DataOps, DevOps) to help improve the overall program of work
- Ensure consistent application of platform capabilities to ensure quality and consistency concerning logging and lineage
- Fully versed in coding best practices and ways of working, and participates in code reviews and partnering to improve the teams standards
- Adhere to QMS framework, Security & Regulatory Standards, and CI/CD best practices and helps to guide improvements to them that improve ways of working
- Provide leadership to team members to help others get the job done right
- Supporting engineering teams in the adoption and creation of data Mesh best practices.
- Maintains best practices for engineering and architecture on our Confluence site.
- Pro-actively engages in experimentation and innovation to drive relentless improvement
- Provides leadership, technical direction, and GSK expertise to architecture and engineering teams composed of GSK FTEs, strategic partners, and software vendors.
Why you?
Basic Qualifications:
- Computer Science or related bachelors degree MS in Computer Science is preferred
- Proficient with at least 3 of the below skills and can demonstrate knowledge and value with relevant experience in all the following competencies:
- Data Engineering development, architecture design & technology platforms/frameworks
- Hands-on experience with Azure Data Analytics services e.g. ADLS, Azure Data Factory, Azure Databricks, Purview, Azure Synapse, etc.
- Data Platforms and Domain-driven design
- Agile, DevOps & Automation [of testing, build, deployment, CI/CD, etc.]
- Data analytics & data quality/integrity
- Testing strategies & frameworks
- Role requires:
- Demonstrated skill in delivering high-quality engineered data products
- Knowledge of industry standards and technology platforms
- Excellent communication, negotiation, influencing, and stakeholder management skills
- Customer focus and excellent problem-solving skills
- Familiarity with and use of various open-source ecosystems including JavaScript, Bigdata, java, python, etc.
- Good understanding of various software paradigms: domain-driven, procedural, data-driven, object-oriented, functional
- Familiar with Java, Scala, Python
- Demonstrable knowledge depth in more than one area of software engineering and technology
Preferred Qualifications:
- Experience in agile software development and DevOps, relevant technology platforms [e.g., Kubernetes] and frameworks [e.g. Docker] including cloud technologies & data structures (i.e. information management), data models or relational database design
- Subject matter expertise in Pharma CMC and scientific domains.
- Experience in applying data curation, virtualization, workflow, and advanced visualization techniques to enable decision support across multiple products and assets to drive results across R&D business operations.
Why GSK?
- Career at one of the leading global healthcare companies
- Long-term incentives
- Company car or car allowance
- Contract of employment
- Attractive reward package (annual bonus & awards for outstanding performance, recognition awards for additional achievements and engagement, holiday benefit
- Life insurance and pension plan
- Private medical package with additional preventive healthcare services for employees and their eligible
- Sports cards (Multisport)
- Possibilities of development within the role and companys structure
- Personalized learning approach (mentoring, online training platforms: Pluralsight, Business Skills, Harvard Manage Mentor, Skillsoft and external training)
- Extensive support of work life balance (flexible working solutions, short Fridays option, health & well-being activities)
- Supportive community and integration events
- Modern office with creative rooms, fresh fruits everyday
- Free car and bike parking, locker rooms and showers
#LI-GSK
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