Senior Data Engineer

As a Senior Data Engineer, you will be creating microservices, integrating components, designing frameworks and building reusable data solutions for GSK's Enterprise Data & Analytics Platform. You will enable faster acquisition, ingestion, and curation of analytical-ready datasets. You will be introducing new technology and building the GxP-ready platform aimed at delivering value to business stakeholders.

While a hands-on development role which includes developing & delivering code from origin to production, you will also lead a team of data engineers and 3rd party service providers.

This role will include responsibilities for:

Development

• Hands on, sleeves up development and delivery expected as a matter of course.

Delivery

• Ensure project goals are achieved on time in alignment with the stakeholders' expectation.
• Ability to work on complex projects and in a distributed environment.
• Escalate when necessary and in a timely manner
• Work in close collaboration with other team members in the Enterprise Data & Analytics Platform team, to ensure Development/Delivery aspects are well represented in the project's requirements and deliverables.

Methodology

• Incorporate agile ways of working into the delivery process utilising DABL (Discovery, Alpha, Beta, Launch)
• Individuals will work as part of product-centric delivery team(s) that will focus on delivering value independently while fully embracing integrated DevOps approaches.

Ownership

• Take ownership for the delivery/development projects and help steer until completion.

Governance

• Maintain governance that allows projects and stakeholders to manage overall project performance and manage programme risks within the global nature of some of the programmes.

Forward looking:

• Remain flexible towards technology approaches to ensure we are taking advantage of new technologies.
• Keep abreast of industry developments in analytics and be able to interpret how these would impact services and present new opportunities.

Quality, Risk & Compliance:

• Ensure all risk and issues associated with owned projects are recorded and managed in the appropriate Risk & Issue logs in a timely manner.
• Ensure all Risks and Issues have clear action/mitigation/contingency plans defined, with named action owners and timelines for completion.

Technical Architecture

• Be conversant with technical architecture to contribute to design discussions in partnership with the Delivery/Development Lead and dedicated Analytics & Data Architect.

Why you?

Basic Qualifications:

We are looking for professionals with these required skills to achieve our goals:

• Bachelor's Degree in Computer Science, Engineering, Data Science
• 5+ years experience in data engineering

Preferred Qualifications:

If you have the following characteristics, it would be a plus:

• Master's Degree in Computer Science, Engineering or Data Science
• Seasoned coder in the relevant languages: Python, SQL, Scala, etc.
• 5+ years experience with the Azure data and analytics stack: Databricks, Data Factory, SQL DW, Cosmos DB, Power BI, Power Apps, etc.
• 5+ years experience integrating and supporting a variety of enterprise data tools:, Talend, Collibra, Synapse/Snowflake, etc.
• Fully conversant with big-data processing approaches and "schema-on-read" methodologies. Preference for deep understanding of Spark, Databricks and Delta Lake, and applying them to solve data science and machine learning business problems.
• Experience with Agile delivery frameworks and tools: SAFe, Jira, Confluence, Azure DevOps, etc.
• Experience with visualization tools and their application: developing reports, dashboards and KPI scorecards.
• Familiar deploying enterprise analytics solutions at scale with applicable services: administration, qualification and user access provisioning.
• Experience articulating business value of analytics projects and progressing solutions from MVP to scaled-up production solutions.
• Ability to work in close partnership with groups across the IT organization (security, compliance, infrastructure, etc.) and business stakeholders in the commercial organizations.
• Ability to develop and maintain productive working relationships with suppliers and specialist technology providers to assemble and maintain a distinctive and flexible mix of capabilities against future requirements.
• Ideal candidate possesses great communication skills and the ability to communicate inherently complicated technical concepts to non-technical stakeholders of all levels.

Why GSK?

Our values and expectations are at the heart of everything we do and form an important part of our culture.

These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities:

• Operating at pace and agile decision-making - using evidence and applying judgement to balance pace, rigour and risk.
• Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution.
• Continuously looking for opportunities to learn, build skills and share learning.
• Sustaining energy and well-being.
• Building strong relationships and collaboration, honest and open conversations.
• Budgeting and cost-consciousness.

#LI-GSK

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